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Liu X, Dou D, Xu Z, Wang S, Chen C, Zhou J, Shen L, Wang S, Li H, Zhang D, Zhang H. Genetic parameter estimation and genetic evaluation of important economic traits in white and yellow broilers. Br Poult Sci 2024:1-7. [PMID: 39250000 DOI: 10.1080/00071668.2024.2394961] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/25/2023] [Accepted: 07/11/2024] [Indexed: 09/10/2024]
Abstract
1. This study calculated descriptive statistics for the production traits of two broiler populations: 1) the Northeast Agricultural University broiler lines divergently selected for abdominal fat content (NEAUHLF white broilers), including fat and lean lines; and 2) the Guangxi yellow broilers. Their genetic parameters were estimated, including (co)variance components, heritability (h2) and genetic correlations (rg), using the REML method.2. Heritability estimates (h2) for NEAUHLF white broilers ranged from 0.07 to 0.61. Traits with high heritability (h2 >0.3) included body weight at 3, 5 and 7 weeks of age (BW3, BW5, BW7), carcass weight (CW), metatarsal circumference (MeC), liver weight (LW), gizzard weight (GW), spleen weight (SW) and testis weight (TeW), while in Guangxi yellow broilers, heritability estimates ranged from 0.18 to 0.76, with every trait exhibiting high heritability, except for SW (0.18).3. Positive genetic correlations for NEAUHLF were found (rg >0.3, ranging from 0.31 to 0.84) between BW7 and metatarsal length (MeL), MeC, body oblique length (BoL), chest angle (ChA), LW, GW, heart weight (HW) and SW. Genetic correlations between abdominal fat weight (AFW) and BW1, BW3, BW5, CW, MeL, keel length (KeL), BoL and LW were positive (rg >0.3, ranging from 0.31 to 0.58).4. Among the Guangxi population, BW (125 d of age) showed strong positive genetic correlations with all other traits (rg >0.3, ranging from 0.30 to 0.99), while AFW displayed strong positive genetic correlations with leg muscle weight (LeW), CW, BW and thigh diameter (TD) (rg >0.3, ranging from 0.44 to 0.51).5. It was concluded that the characteristics of the two populations were different, which means there is a need to use different strategies when performing the breeding work to improve productivity and efficiency in both broiler populations.
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Affiliation(s)
- X Liu
- Key Laboratory of Chicken Genetics and Breeding, Ministry of Agriculture and Rural Affairs, Harbin, P. R. China
- Key Laboratory of Animal Genetics, Breeding and Reproduction, Education Department, Harbin, Heilongjiang Province, P. R. China
| | - D Dou
- Key Laboratory of Chicken Genetics and Breeding, Ministry of Agriculture and Rural Affairs, Harbin, P. R. China
- Key Laboratory of Animal Genetics, Breeding and Reproduction, Education Department, Harbin, Heilongjiang Province, P. R. China
| | - Z Xu
- Key Laboratory of Chicken Genetics and Breeding, Ministry of Agriculture and Rural Affairs, Harbin, P. R. China
| | - S Wang
- Key Laboratory of Chicken Genetics and Breeding, Ministry of Agriculture and Rural Affairs, Harbin, P. R. China
| | - C Chen
- Key Laboratory of Chicken Genetics and Breeding, Ministry of Agriculture and Rural Affairs, Harbin, P. R. China
| | - J Zhou
- Key Laboratory of Chicken Genetics and Breeding, Ministry of Agriculture and Rural Affairs, Harbin, P. R. China
| | - L Shen
- Key Laboratory of Chicken Genetics and Breeding, Ministry of Agriculture and Rural Affairs, Harbin, P. R. China
| | - S Wang
- Key Laboratory of Chicken Genetics and Breeding, Ministry of Agriculture and Rural Affairs, Harbin, P. R. China
| | - H Li
- Key Laboratory of Chicken Genetics and Breeding, Ministry of Agriculture and Rural Affairs, Harbin, P. R. China
| | - D Zhang
- College of Animal Science and Technology, Northeast Agricultural University, Harbin, P. R. China
- Guangdong Wens Nanfang Poultry Breeding Co. Ltd, Xinxing, P. R. China
| | - H Zhang
- Key Laboratory of Chicken Genetics and Breeding, Ministry of Agriculture and Rural Affairs, Harbin, P. R. China
- College of Animal Science and Technology, Northeast Agricultural University, Harbin, P. R. China
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Zhang X, Li Y, Li Q, Zhang T, Sun Y, Shi F, Chen J. Research Note: Genetic parameters estimation of egg quality traits in Rhode Island Red and White Leghorn chickens. Poult Sci 2024; 103:104263. [PMID: 39278112 DOI: 10.1016/j.psj.2024.104263] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/11/2024] [Revised: 08/12/2024] [Accepted: 08/21/2024] [Indexed: 09/17/2024] Open
Abstract
The continuous increasing demand for egg quality and quantity, and the expanding market share have enabled the egg industry to achieve significant benefits through genetic improvement. This study aims to estimate the genetic parameters and explore selectable breeding traits in the purebred Rhode Island Red (RIR) and White Leghorn (WL), which are 2 high-yielding layer breeds, and better understand their underlying genetic basis and accelerate genetic progress. The DMU software was utilized to analyze 12 egg quality traits, including egg length (EL), egg width (EW), egg shape index (ESI), egg weight (EWT), albumen height (AH), yolk color (YC), Haugh unit (HU), yolk weight (YW), albumen weight (AW), albumen-to-egg weight ratio (AWR), yolk-to-albumen ratio (YAR), and yolk-to-egg weight ratio (YWR). In RIR, the heritability of egg quality traits ranged from 0.196 to 0.427, while the repeatability ranged from 0.395 to 0.668. In WL, the heritability of egg quality traits ranged from 0.203 to 0.347, and the repeatability ranged from 0.424 to 0.656. In both RIR and WL, highly strong genetic correlations were observed between AW and EW, as well as between AW and EWT. The genetic correlations for AW and EW were 0.902 in RIR and 0.864 in WL, while the genetic correlations for AW and EWT were 0.981 in RIR and 0.960 in WL. The egg quality traits in both breeds showed moderate heritability, indicating great genetic potential for improvement through selective breeding. This can help breeders meet the increasingly diverse egg preferences of consumers through genetic selection. Additionally, there is a highly strong correlation between egg width/egg weight, and albumen weight in both breeds. In practical production, it is feasible to estimate albumen weight by measuring egg width and egg weight, which can simplify the method for measuring albumen weight. In conclusions, our finding provided valuable insights into the genetic architecture of egg quality traits in RIR and WL chickens. They help our understanding of the potential for genetic improvement of these traits through selective breeding programs.
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Affiliation(s)
- Xiaoke Zhang
- State Key Laboratory of Animal Biotech Breeding, Institute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing 100193, P.R.China; College of Animal Science & Technology, Nanjing Agricultural University, Nanjing 210095, P.R.China
| | - Yunlei Li
- State Key Laboratory of Animal Biotech Breeding, Institute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing 100193, P.R.China
| | - Qin Li
- State Key Laboratory of Animal Biotech Breeding, Institute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing 100193, P.R.China
| | - Tao Zhang
- State Key Laboratory of Animal Biotech Breeding, Institute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing 100193, P.R.China
| | - Yanyan Sun
- State Key Laboratory of Animal Biotech Breeding, Institute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing 100193, P.R.China
| | - Fangxiong Shi
- College of Animal Science & Technology, Nanjing Agricultural University, Nanjing 210095, P.R.China
| | - Jilan Chen
- State Key Laboratory of Animal Biotech Breeding, Institute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing 100193, P.R.China.
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Miyumo S, Wasike CB, Ilatsia ED, Bennewitz J, Chagunda MGG. Evaluation of selection strategies in dual-purpose and specialized breeding of indigenous chicken. Poult Sci 2024; 103:103916. [PMID: 38908120 DOI: 10.1016/j.psj.2024.103916] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/22/2024] [Revised: 05/12/2024] [Accepted: 05/24/2024] [Indexed: 06/24/2024] Open
Abstract
This study aimed to evaluate various selection strategies for adoption in dual-purpose (ICD), meat (ICM) and layer (ICL) breeding goals in indigenous chicken breeding programs. The ICM goal aimed to improve live weight (LW12), daily gain (ADG) and egg weight (EW12) or together with feed efficiency and antibody response. For the ICL goal, age at first egg (AFE) and egg number (EN12) or together with feed efficiency and antibody response were targeted. In the ICD goal, the objective was to improve LW12, ADG, AFE and EN12 or together with feed efficiency and antibody response. Highest total index responses of US$ 49.83, US$ 65.71, and US$ 37.90 were estimated in indices targeting only production traits in the ICD, ICM and ICL goals, respectively. Highest index accuracy estimates of 0.77 and 0.70 were observed in indices that considered production and feed-related traits in the ICD and ICL goals, respectively, while in the ICM goal, the highest estimate of 0.96 was observed in an index targeting only production traits. Inbreeding levels ranged from 0.60 to 1.14% across the various indices considered in the breeding goals. Targeting only production traits in the ICD, ICM and ICL goals required the least number of generations of selection of 7.46, 5.50, and 8.52, respectively, to achieve predefined gains. Generally, a strategy targeting only production traits in a goal was the most optimal but resulted to unfavorable correlated responses in feed efficiency and antibody response. Addition of feed efficiency or/and antibody response in a goal was, however, not attractive due to the decline in total index response and accuracy and increase in inbreeding levels and number of generations of selection. Considering the feed availability and disease challenges in the tropics, choice of including feed efficiency or/and antibody response in the ICD, ICM and ICL goals should depend on targeted production system, resource availability to support breeding activities and magnitude of correlated responses on these traits when not included in the goals.
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Affiliation(s)
- Sophie Miyumo
- Department of Animal Breeding and Husbandry in the Tropics and Sub-tropics, University of Hohenheim, Stuttgart 70599, Germany.
| | - Chrilukovian B Wasike
- Livestock Efficiency Enhancement group (LEEG), Department of Animal and Fisheries Sciences, Maseno University, Maseno, Kenya
| | - Evans D Ilatsia
- Kenya Agricultural and Livestock Research Organization, Poultry Research Program, Naivasha 20117, Kenya
| | - Jörn Bennewitz
- Department of Animal Breeding and Genetics, University of Hohenheim, Stuttgart 70599, Germany
| | - Mizeck G G Chagunda
- Department of Animal Breeding and Husbandry in the Tropics and Sub-tropics, University of Hohenheim, Stuttgart 70599, Germany
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Liswaniso S, Mwambilwa K, Odubote K, Tyasi TL, Mweni M, Sun X, Xu R, Qin N. Zambian indigenous chicken genetic resources: phenotypic characteristics and their production systems among small-scale farmers. Front Vet Sci 2024; 11:1429869. [PMID: 39135895 PMCID: PMC11317379 DOI: 10.3389/fvets.2024.1429869] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/17/2024] [Accepted: 07/10/2024] [Indexed: 08/15/2024] Open
Abstract
Introduction Indigenous chickens are very important to households for income and protein. However, their performance is usually poor, especially under small-scale farmer management, despite their potential to perform better. The performance of these chickens can be improved by selective breeding. However, for this to be a success, there is a need to understand the phenotypic and production characteristics of these chickens fully. Hence, this study aimed to characterize the phenotypes of these chickens and their production system among small-scale farmers. Method A structured questionnaire was administered to 177 small-scale farmers. A total of 538 chickens whose mean weight was 1.66 kg were individually phenotyped in Luapula, Muchinga, and Northern provinces of Zambia. Results Ownership of the indigenous chickens was dominated by females (65.37%), with most (64.31%) having attained primary education. Most housed their chickens in family houses (42.03%). All the farmers let their chickens scavenge for their feed, with 45.58% of them providing basic supplementation. Most (84.10%) farmers bought their breed stock from within their community and had a mean flock size of 12.5 chickens/household, which they mostly (78.09%) kept as free-range. The majority (77.39%) practiced culling, with low productivity being the most common reason for culling (84.45%). Only 59.01% of farmers practiced selective breeding, while 86.22% practiced uncontrolled mating. The age at first mating for cocks and hens was 6.8 months and 6.34 months, respectively, with 6.73 months being the age at first egg. It takes 15.43 days to reach a mean clutch size of 13 eggs. The hatchability and mortality at 8 weeks were 83.44% and 67.57%, respectively. All chickens were sold as live chickens, and the majority (51.59%) of the farmers sold their chickens within the community at 7.23 months. Diseases and predators were the most common challenges affecting farmers in the study area. Consultations with veterinarians, vaccinations, and deworming were uncommon while treating sick chickens mostly using ethnoveterinary medicines was common. The most common qualitative traits were brown (27.88%) and mixed (26.77%) plumage color, white skins (91.45%) and shanks (48.70%), single comb type (91.08%), red earlobe (55.76%), and orange eyes (78.07%). All linear body measurements positively and significantly correlated with the body weight averaging 1.66kgs, an indicator that selection for any of them would result in a corresponding increase in body weight. Principal Component Analysis extracted two components with 69.38% of the total variation. Discussion The diversity in phenotypes of these chickens and their production systems indicate huge potential for improvement by implementing breeding programs.
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Affiliation(s)
- Simushi Liswaniso
- Department of Animal Breeding, Genetics and Reproduction, College of Animal Science and Technology, Jilin Agricultural University, Changchun, Jilin, China
- Modern Agricultural Technology International Cooperative Joint Laboratory of the Ministry of Education, Changchun, China
- Department of Livestock Development, Lusaka, Zambia
| | | | - Kolawole Odubote
- Department of Animal Sciences, School of Agricultural Sciences, University of Zambia, Lusaka, Zambia
| | - Thobela Louis Tyasi
- Department of Agricultural Economics and Animal Production, University of Limpopo, Polokwane, South Africa
| | - Mwape Mweni
- Department of Livestock Development, Lusaka, Zambia
| | - Xue Sun
- Department of Animal Breeding, Genetics and Reproduction, College of Animal Science and Technology, Jilin Agricultural University, Changchun, Jilin, China
- Modern Agricultural Technology International Cooperative Joint Laboratory of the Ministry of Education, Changchun, China
| | - Rifu Xu
- Department of Animal Breeding, Genetics and Reproduction, College of Animal Science and Technology, Jilin Agricultural University, Changchun, Jilin, China
- Modern Agricultural Technology International Cooperative Joint Laboratory of the Ministry of Education, Changchun, China
| | - Ning Qin
- Department of Animal Breeding, Genetics and Reproduction, College of Animal Science and Technology, Jilin Agricultural University, Changchun, Jilin, China
- Modern Agricultural Technology International Cooperative Joint Laboratory of the Ministry of Education, Changchun, China
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Kour A, Chatterjee RN, Rajaravindra KS, Prince LLL, Haunshi S, Niranjan M, Reddy BLN, Rajkumar U. Delineating maternal influence in regulation of variance in major economic traits of White Leghorns: Bayesian insights. PLoS One 2024; 19:e0307987. [PMID: 39058757 PMCID: PMC11280281 DOI: 10.1371/journal.pone.0307987] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/19/2024] [Accepted: 07/14/2024] [Indexed: 07/28/2024] Open
Abstract
Proper variance partitioning and estimation of genetic parameters at appropriate time interval is crucial for understanding the dynamics of trait variance and genetic correlations and for deciding the future breeding strategy of the population. This study was conducted on the same premise to estimate genetic parameters of major economic traits in a White Leghorn strain IWH using Bayesian approach and to identify the role of maternal effects in the regulation of trait variance. Three different models incorporating the direct additive effect (Model 1), direct additive and maternal genetic effect (Model 2) and direct additive, maternal genetic and maternal permanent environmental effects (Model 3) were tried to estimate the genetic parameters for body weight traits (birth weight, body weight at 16, 20, 40 and 52 weeks), Age at sexual maturity (ASM), egg production traits (egg production up to 24, 28, 40, 52, 64 and 72 weeks) and egg weight traits (egg weight at 28, 40 and 52 weeks). Model 2 and Model 3 with maternal effects were found to be the best having the highest accuracy for almost all the traits. The direct additive genetic heritability was moderate for ASM, moderate to high for body weight traits and egg weight traits and low to moderate for egg production traits. Though the maternal heritability (h2mat) and permanent environmental effect (c2mpe) was low (<0.1) for most of the traits, they formed an important component of trait variance. Traits like egg weight at 28 weeks (0.14±0.06) and egg production at 72 weeks (0.13±0.07) reported comparatively higher values for c2mpe and h2mat respectively. Additive genetic correlation was high and positive between body weight traits, between egg weight traits, between consecutive egg production traits and between body weight and egg weight traits. However, a negative genetic correlation existed between egg production and egg weight traits, egg production and body weight traits, ASM and early egg production traits. Overall, a moderate positive genetic correlation was estimated between ASM and body weight traits and ASM and egg weight traits. Based on our findings, we can deduce that maternal effects constitute an important source of variation for all the major economic traits in White Leghorn and should be necessarily considered in genetic evaluation programs.
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Affiliation(s)
- Aneet Kour
- Poultry Genetics and Breeding Division, ICAR-Directorate of Poultry Research, Hyderabad, Telangana, India
| | - R. N. Chatterjee
- Poultry Genetics and Breeding Division, ICAR-Directorate of Poultry Research, Hyderabad, Telangana, India
| | - K. S. Rajaravindra
- Poultry Genetics and Breeding Division, ICAR-Directorate of Poultry Research, Hyderabad, Telangana, India
| | - L. Leslie Leo Prince
- Poultry Genetics and Breeding Division, ICAR-Directorate of Poultry Research, Hyderabad, Telangana, India
| | - Santosh Haunshi
- Poultry Genetics and Breeding Division, ICAR-Directorate of Poultry Research, Hyderabad, Telangana, India
| | - M. Niranjan
- Poultry Genetics and Breeding Division, ICAR-Directorate of Poultry Research, Hyderabad, Telangana, India
| | - B. L. N. Reddy
- Poultry Genetics and Breeding Division, ICAR-Directorate of Poultry Research, Hyderabad, Telangana, India
| | - U. Rajkumar
- Poultry Genetics and Breeding Division, ICAR-Directorate of Poultry Research, Hyderabad, Telangana, India
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Yang Q, Lu X, Li G, Zhang H, Zhou C, Yin J, Han W, Yang H. Genetic Analysis of Egg Production Traits in Luhua Chickens: Insights from a Multi-Trait Animal Model and a Genome-Wide Association Study. Genes (Basel) 2024; 15:796. [PMID: 38927732 PMCID: PMC11202424 DOI: 10.3390/genes15060796] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/04/2024] [Revised: 06/10/2024] [Accepted: 06/13/2024] [Indexed: 06/28/2024] Open
Abstract
Egg production plays a pivotal role in the economic viability of hens. To analyze the genetic rules of egg production, a total of 3151 Luhua chickens were selected, the egg production traits including egg weight at first laying (Start-EW), egg weight at 43 weeks (EW-43), egg number at 43 weeks (EN-43), and total egg number (EN-All) were recorded. Then, the effects of related factors on egg production traits were explored, using a multi-trait animal model for genetic parameter estimation and a genome-wide association study (GWAS). The results showed that body weight at first egg (BWFE), body weight at 43 weeks (BW-43), age at first egg (AFE), and seasons had significant effects on the egg production traits. Start-EW and EW-43 had moderate heritability of 0.30 and 0.21, while EN-43 and EN-All had low heritability of 0.13 and 0.16, respectively. Start-EW exhibited a robust positive correlation with EW-43, while Start-EW was negatively correlated with EN-43 and EN-All. Furthermore, gene ontology (GO) results indicated that Annexin A2 (ANXA2) and Frizzled family receptor 7 (FZD7) related to EW-43, Cyclin D1 (CCND1) and A2B adenosine receptor (ADORA2B) related to EN-All, and have been found to be mainly involved in metabolism and growth processes, and deserve more attention and further study. This study contributes to accelerating genetic progress in improving low heritability egg production traits in layers, especially in Luhua chickens.
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Affiliation(s)
- Qianwen Yang
- College of Mathematical Science, Yangzhou University, Yangzhou 225009, China;
| | - Xubin Lu
- College of Animal Science and Technology, Yangzhou University, Yangzhou 225009, China; (X.L.); (H.Y.)
| | - Guohui Li
- Jiangsu Institute of Poultry Science, Yangzhou 225611, China; (G.L.); (H.Z.); (C.Z.); (J.Y.)
| | - Huiyong Zhang
- Jiangsu Institute of Poultry Science, Yangzhou 225611, China; (G.L.); (H.Z.); (C.Z.); (J.Y.)
| | - Chenghao Zhou
- Jiangsu Institute of Poultry Science, Yangzhou 225611, China; (G.L.); (H.Z.); (C.Z.); (J.Y.)
| | - Jianmei Yin
- Jiangsu Institute of Poultry Science, Yangzhou 225611, China; (G.L.); (H.Z.); (C.Z.); (J.Y.)
| | - Wei Han
- Jiangsu Institute of Poultry Science, Yangzhou 225611, China; (G.L.); (H.Z.); (C.Z.); (J.Y.)
| | - Haiming Yang
- College of Animal Science and Technology, Yangzhou University, Yangzhou 225009, China; (X.L.); (H.Y.)
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Chen A, Zhao X, Wen J, Zhao X, Wang G, Zhang X, Ren X, Zhang Y, Cheng X, Yu X, Mei X, Wang H, Guo M, Jiang X, Wei G, Wang X, Jiang R, Guo X, Ning Z, Qu L. Genetic parameter estimation and molecular foundation of chicken egg-laying trait. Poult Sci 2024; 103:103627. [PMID: 38593551 PMCID: PMC11015155 DOI: 10.1016/j.psj.2024.103627] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/08/2024] [Revised: 02/23/2024] [Accepted: 03/04/2024] [Indexed: 04/11/2024] Open
Abstract
The age of first egg (AFE) in chicken can affect early and even life-time egg production performance to some extent, and therefore is an important economic trait that affects production efficiency. To better understand the genetic patterns of AFE and other production traits including body weight at first egg (BWA), first egg weight (FEW), and total egg number from AFE to 58 wk of age (total-EN), we recorded the production performance of 2 widely used layer breeds, white leghorn (WL) and Rhode Island Red (RIR) and estimated genetic parameters based on pedigree and production data. The results showed that the heritability of AFE in both breeds ranged from 0.4 to 0.6, and AFE showed strong positive genetic and phenotypic correlations to BWA as well as FEW, while showing strong negative genetic and phenotypic correlations with total-EN. Furtherly, by genome-wide association analysis study (GWAS), we identified 12 and 26 significant SNPs to be related to AFE in the 2-layer breeds, respectively. A total of 18 genes were identified that could affect AFE based on the significant SNP annotations obtained, but there were no gene overlapped in the 2 breeds indicating the genetic foundation of AFE could differ from breed to breed. Our results provided a deeper understanding of genetic patterns and molecular basement of AFE in different breeds and could help in the selection of egg production traits.
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Affiliation(s)
- Anqi Chen
- National Engineering Laboratory for Animal Breeding, College of Animal Science and Technology, China Agricultural University, Beijing 100193, China
| | - Xiaoyu Zhao
- Xingrui Agricultural Stock Breeding, Baoding Hebei Province, 072550 China
| | - Junhui Wen
- Institute of Animal Husbandry and Veterinary Medicine, Beijing Academy of Agricultural and Forestry Sciences, Beijing 100097, China
| | - Xiurong Zhao
- National Engineering Laboratory for Animal Breeding, College of Animal Science and Technology, China Agricultural University, Beijing 100193, China
| | - Gang Wang
- National Engineering Laboratory for Animal Breeding, College of Animal Science and Technology, China Agricultural University, Beijing 100193, China
| | - Xinye Zhang
- National Engineering Laboratory for Animal Breeding, College of Animal Science and Technology, China Agricultural University, Beijing 100193, China
| | - Xufang Ren
- National Engineering Laboratory for Animal Breeding, College of Animal Science and Technology, China Agricultural University, Beijing 100193, China
| | - Yalan Zhang
- National Engineering Laboratory for Animal Breeding, College of Animal Science and Technology, China Agricultural University, Beijing 100193, China
| | - Xue Cheng
- National Engineering Laboratory for Animal Breeding, College of Animal Science and Technology, China Agricultural University, Beijing 100193, China
| | - Xiaofan Yu
- National Engineering Laboratory for Animal Breeding, College of Animal Science and Technology, China Agricultural University, Beijing 100193, China
| | - Xiaohan Mei
- National Engineering Laboratory for Animal Breeding, College of Animal Science and Technology, China Agricultural University, Beijing 100193, China
| | - Huie Wang
- Xinjiang Production and Construction Corps, Key Laboratory of Protection and Utilization of Biological Resources in Tarim Basin, Tarim University, Alar 843300, China
| | - Menghan Guo
- National Engineering Laboratory for Animal Breeding, College of Animal Science and Technology, China Agricultural University, Beijing 100193, China
| | - Xiaoyu Jiang
- National Engineering Laboratory for Animal Breeding, College of Animal Science and Technology, China Agricultural University, Beijing 100193, China
| | - Guozhen Wei
- Qingliu Animal Husbandry, Veterinary and Aquatic Products Center, Sanming, China
| | - Xue Wang
- VVBK Animal Medical Diagnostic Technology (Beijing) Co. Ltd, Beijing, China
| | - Runshen Jiang
- College of Animal Science and Technology, Anhui Agricultural University, Hefei 230036, China
| | - Xing Guo
- College of Animal Science and Technology, Anhui Agricultural University, Hefei 230036, China
| | - Zhonghua Ning
- National Engineering Laboratory for Animal Breeding, College of Animal Science and Technology, China Agricultural University, Beijing 100193, China
| | - Lujiang Qu
- National Engineering Laboratory for Animal Breeding, College of Animal Science and Technology, China Agricultural University, Beijing 100193, China; Xinjiang Production and Construction Corps, Key Laboratory of Protection and Utilization of Biological Resources in Tarim Basin, Tarim University, Alar 843300, China.
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8
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Ma X, Ying F, Li Z, Bai L, Wang M, Zhu D, Liu D, Wen J, Zhao G, Liu R. New insights into the genetic loci related to egg weight and age at first egg traits in broiler breeder. Poult Sci 2024; 103:103613. [PMID: 38492250 PMCID: PMC10959720 DOI: 10.1016/j.psj.2024.103613] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/19/2023] [Revised: 02/29/2024] [Accepted: 02/29/2024] [Indexed: 03/18/2024] Open
Abstract
Egg weight (EW) and age at first egg (AFE) are economically important traits in breeder chicken production. The genetic basis of these traits, however, is far from understood, especially for broiler breeders. In this study, genetic parameter estimation, genome-wide association analysis, meta-analysis, and selective sweep analysis were carried out to identify genetic loci associated with EW and AFE in 6,842 broiler breeders. The study found that the heritability of EW ranged from 0.42 to 0.44, while the heritability of AFE was estimated at 0.33 in the maternal line. Meta-analysis and selective sweep analysis identified two colocalized regions on GGA4 that significantly influenced EW at 32 wk (EW32W) and at 43 wk (EW43W) with both paternal and maternal lines. The genes AR, YIPF6, and STARD8 were located within the significant region (GGA4: 366.86-575.50 kb), potentially affecting EW through the regulation of follicle development, cell proliferation, and lipid transfer etc. The promising genes LCORL and NCAPG were positioned within the significant region (GGA4:75.35-75.42 Mb), potentially influencing EW through pleiotropic effects on growth and development. Additionally, 3 significant regions were associated with AFE on chromosomes GGA7, GGA19, and GGA27. All of these factors affected the AFE by influencing ovarian development. In our study, the genomic information from both paternal and maternal lines was used to identify genetic regions associated with EW and AFE. Two genomic regions and eight genes were identified as the most likely candidates affecting EW and AFE. These findings contribute to a better understanding of the genetic basis of egg production traits in broiler breeders and provide new insights into future technology development.
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Affiliation(s)
- Xiaochun Ma
- State Key Laboratory of Animal Biotech Breeding; State Key Laboratory of Animal Nutrition and Feeding; Key Laboratory of Animal (Poultry) Genetics Breeding and Reproduction, Ministry of Agriculture; Institute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing 100193, China
| | - Fan Ying
- Foshan Gaoming Xinguang Agricultural and Animal Industrials Corporation, Foshan 528515, China
| | - Zhengda Li
- State Key Laboratory of Animal Biotech Breeding; State Key Laboratory of Animal Nutrition and Feeding; Key Laboratory of Animal (Poultry) Genetics Breeding and Reproduction, Ministry of Agriculture; Institute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing 100193, China
| | - Lu Bai
- State Key Laboratory of Animal Biotech Breeding; State Key Laboratory of Animal Nutrition and Feeding; Key Laboratory of Animal (Poultry) Genetics Breeding and Reproduction, Ministry of Agriculture; Institute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing 100193, China
| | - Mengjie Wang
- State Key Laboratory of Animal Biotech Breeding; State Key Laboratory of Animal Nutrition and Feeding; Key Laboratory of Animal (Poultry) Genetics Breeding and Reproduction, Ministry of Agriculture; Institute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing 100193, China
| | - Dan Zhu
- Foshan Gaoming Xinguang Agricultural and Animal Industrials Corporation, Foshan 528515, China
| | - Dawei Liu
- Foshan Gaoming Xinguang Agricultural and Animal Industrials Corporation, Foshan 528515, China
| | - Jie Wen
- State Key Laboratory of Animal Biotech Breeding; State Key Laboratory of Animal Nutrition and Feeding; Key Laboratory of Animal (Poultry) Genetics Breeding and Reproduction, Ministry of Agriculture; Institute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing 100193, China
| | - Guiping Zhao
- State Key Laboratory of Animal Biotech Breeding; State Key Laboratory of Animal Nutrition and Feeding; Key Laboratory of Animal (Poultry) Genetics Breeding and Reproduction, Ministry of Agriculture; Institute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing 100193, China
| | - Ranran Liu
- State Key Laboratory of Animal Biotech Breeding; State Key Laboratory of Animal Nutrition and Feeding; Key Laboratory of Animal (Poultry) Genetics Breeding and Reproduction, Ministry of Agriculture; Institute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing 100193, China.
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9
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Wang J, Liu Z, Cao D, Liu J, Li F, Han H, Han H, Lei Q, Liu W, Li D, Wang J, Zhou Y. Elucidation of the genetic determination of clutch traits in Chinese local chickens of the Laiwu Black breed. BMC Genomics 2023; 24:686. [PMID: 37968610 PMCID: PMC10652520 DOI: 10.1186/s12864-023-09798-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/18/2022] [Accepted: 11/08/2023] [Indexed: 11/17/2023] Open
Abstract
BACKGROUND Egg laying rate (LR) is associated with a clutch, which is defined as consecutive days of oviposition. The clutch trait can be used as a selection indicator to improve egg production in poultry breeding. However, little is known about the genetic basis of clutch traits. In this study, our aim was to estimate genetic parameters and identify quantitative trait single nucleotide polymorphisms for clutch traits in 399 purebred Laiwu Black chickens (a native Chinese breed) using a genome-wide association study (GWAS). METHODS In this work, after estimating the genetic parameters of age at first egg, body weight at first egg, LR, longest clutch until 52 week of age, first week when the longest clutch starts, last week when the longest clutch ends, number of clutches, and longest number of days without egg-laying until 52 week of age, we identified single nucleotide polymorphisms (SNPs) and potential candidate genes associated with clutch traits in Laiwu Black chickens. The restricted maximum likelihood method was used to estimate genetic parameters of clutch pattern in 399 Laiwu Black hens, using the GCTA software. RESULTS The results showed that SNP-based heritability estimates of clutch traits ranged from 0.06 to 0.59. Genotyping data were obtained from whole genome re-sequencing data. After quality control, a total of 10,810,544 SNPs remained to be analyzed. The GWAS revealed that 421 significant SNPs responsible for clutch traits were scattered on chicken chromosomes 1-14, 17-19, 21-25, 28 and Z. Among the annotated genes, NELL2, SMYD9, SPTLC2, SMYD3 and PLCL1 were the most promising candidates for clutch traits in Laiwu Black chickens. CONCLUSION The findings of this research provide critical insight into the genetic basis of clutch traits. These results contribute to the identification of candidate genes and variants. Genes and SNPs potentially provide new avenues for further research and would help to establish a framework for new methods of genomic prediction, and increase the accuracy of estimated genetic merit for egg production and clutch traits.
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Affiliation(s)
- Jie Wang
- Poultry Breeding Engineering Technology Center of Shandong Province, Poultry Institute, Shandong Academy of Agricultural Sciences, Jinan, 250023, Shandong, China
| | - Zhansheng Liu
- Shandong Animal Husbandry General Station, Jinan, 250023, China
| | - Dingguo Cao
- Poultry Breeding Engineering Technology Center of Shandong Province, Poultry Institute, Shandong Academy of Agricultural Sciences, Jinan, 250023, Shandong, China
| | - Jie Liu
- Poultry Breeding Engineering Technology Center of Shandong Province, Poultry Institute, Shandong Academy of Agricultural Sciences, Jinan, 250023, Shandong, China
| | - Fuwei Li
- Poultry Breeding Engineering Technology Center of Shandong Province, Poultry Institute, Shandong Academy of Agricultural Sciences, Jinan, 250023, Shandong, China
| | - Heguo Han
- Lijin County Center for Animal Disease Control, Lijin, 257400, China
| | - Haixia Han
- Poultry Breeding Engineering Technology Center of Shandong Province, Poultry Institute, Shandong Academy of Agricultural Sciences, Jinan, 250023, Shandong, China
| | - Qiuxia Lei
- Poultry Breeding Engineering Technology Center of Shandong Province, Poultry Institute, Shandong Academy of Agricultural Sciences, Jinan, 250023, Shandong, China
| | - Wei Liu
- Poultry Breeding Engineering Technology Center of Shandong Province, Poultry Institute, Shandong Academy of Agricultural Sciences, Jinan, 250023, Shandong, China
| | - Dapeng Li
- Poultry Breeding Engineering Technology Center of Shandong Province, Poultry Institute, Shandong Academy of Agricultural Sciences, Jinan, 250023, Shandong, China
| | - Jianxia Wang
- Administrative Examination and Approval Service Bureau of Lijin County, Lijin, 257400, China
| | - Yan Zhou
- Poultry Breeding Engineering Technology Center of Shandong Province, Poultry Institute, Shandong Academy of Agricultural Sciences, Jinan, 250023, Shandong, China.
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10
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Bogdanski FA, Silveira RMF, Rovadoscki GA, Franzo V, Gervásio IC, Escobar DYO, Dauria BD, Meira AN, Mourão LMB, Coutinho LL, Pizzolante CC, de Moraes JE, Mourão GB. Genetic parameters for production, quality, and colors from eggs in Brazilian lineages of chickens. Trop Anim Health Prod 2023; 55:148. [PMID: 37020063 DOI: 10.1007/s11250-023-03554-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/23/2022] [Accepted: 03/29/2023] [Indexed: 04/07/2023]
Abstract
Genetic parameters were estimated for egg production, egg quality, and eggshell colors in eight lineages of Brazilian laying hens. Age at first egg (AFE), total egg production up to the 45th week (PROD), egg weight (EW), albumen height (AH), yolk color (YC), the Haugh units (HU), eggshell strength (ESS), eggshell thickness (EST), yolk weight (YW), eggshell weight (ESW), and eggshell color (L*, a*, and b*) were measured in 2030 eggs obtained from 645 laying hens. Variance components were estimated from a mixed animal model, which included the fixed effects of contemporary groups, cage location, and hen line, and the additive genetic, permanent environmental, and residual as random effects. In general, heritabilities were low to moderate (h2 = 0.11 to 0.48). Genetic correlations among eggshell quality traits were moderate to high (0.36 and 0.69). High genetic correlations were obtained between the eggshell color traits [rg = -0.90 (L* and a*); rg = -0.64 (L* and b*); and rg = 0.65 (a* and b*)]. Results suggest that EW is strongly correlated with ESW, but the genetic correlations between EW and ESS and between EW and EST were low. Genetic correlations between L* and eggshell quality traits were low to moderate, suggesting that L* has little or no relation with external egg quality. However, genetic correlations between a* and b* values and eggshell quality traits were high. The genetic correlations between eggshell color and eggshell quality traits were low, suggesting that the eggshell color does not influence external egg quality. Genetic correlations between PROD and egg quality traits were negative and varied between -0.42 and -0.05. This antagonistic relationship emphasizes the importance of adopting breeding schemes that allow the simultaneous genetic progress of these traits by considering their genetic correlation and economic relevance, such as the selection index.
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Affiliation(s)
- Fátima Auler Bogdanski
- Department of Animal Science, "Luiz de Queiroz" College Agriculture, University of São Paulo, Piracicaba, Brazil
| | | | - Gregori Alberto Rovadoscki
- Department of Animal Science, "Luiz de Queiroz" College Agriculture, University of São Paulo, Piracicaba, Brazil
| | - Vamilton Franzo
- Department of Animal Science, "Luiz de Queiroz" College Agriculture, University of São Paulo, Piracicaba, Brazil
| | - Izally Carvalho Gervásio
- Department of Animal Science, "Luiz de Queiroz" College Agriculture, University of São Paulo, Piracicaba, Brazil
| | - Daysi Ylder Orzuza Escobar
- Department of Animal Science, "Luiz de Queiroz" College Agriculture, University of São Paulo, Piracicaba, Brazil
| | - Brayan Dias Dauria
- Department of Animal Science, "Luiz de Queiroz" College Agriculture, University of São Paulo, Piracicaba, Brazil
| | - Ariana Nascimento Meira
- Department of Animal Science, "Luiz de Queiroz" College Agriculture, University of São Paulo, Piracicaba, Brazil
| | | | - Luiz Lehmann Coutinho
- Department of Animal Science, "Luiz de Queiroz" College Agriculture, University of São Paulo, Piracicaba, Brazil
| | | | - José Evandro de Moraes
- Research Center of Diversified Animal Science, Instituto de Zootecnia, Nova Odessa, Brazil
| | - Gerson Barreto Mourão
- Department of Animal Science, "Luiz de Queiroz" College Agriculture, University of São Paulo, Piracicaba, Brazil.
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11
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Genetic and phenotypic parameter estimates for selection within Ugandan indigenous chickens. Trop Anim Health Prod 2023; 55:100. [PMID: 36840813 DOI: 10.1007/s11250-023-03513-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/26/2022] [Accepted: 02/16/2023] [Indexed: 02/26/2023]
Abstract
The high genetic variation within indigenous chickens (IC) which provides an opportunity to select superior stock for sustainable production and conservation is under-exploited. This study is aimed at estimating heritability and genetic and phenotypic correlation coefficients of productive and reproductive traits of Ugandan IC as a basis for selection. Data on traits were collected across two consecutive generations, weight (W) and shank length (SL) of chicks at hatching (HW) as well as at 2 (W2; SL2), 4 (W4; SL4), 6 (W6; SL6), 8 (W8; SL8), and 12 (W12; SL12) weeks of growth. Body weights at onset of lay (WFE) were also measured. In addition, egg number (EN-60), egg weight (EW), clutch number (CLN-60), and clutch size (CLS-60) over a period of 60 days were recorded. Genetic parameters were estimated using the univariate animal model analysis with restricted maximum likelihood procedure using the variability package of R, version 4.1.1. Heritability of traits ranged from 0.30 and 0.72 except SL4 (0.02), SL12 (0.14), and EN-60 (0.17). The traits EN-60 and W4 were negatively phenotypically correlated (- 0.49). Body weight at first egg was highly genetically correlated (0.99) with SL8. Egg number was significantly, negatively, and genetically correlated (- 0.96) with SL12. In conclusion, shank length is a potential phenotypic marker when selecting for live weight at onset of lay and egg yield. The shank length could, therefore, permit selection of superior chickens at an early age.
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12
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Loengbudnark W, Chankitisakul V, Boonkum W. The genetic impact of heat stress on the egg production of Thai native chickens (Pradu Hang dum). PLoS One 2023; 18:e0281328. [PMID: 36735733 PMCID: PMC9897533 DOI: 10.1371/journal.pone.0281328] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/06/2022] [Accepted: 01/20/2023] [Indexed: 02/04/2023] Open
Abstract
Sustainable poultry production in adverse weather conditions is a widely debated issue, which has led to research into the development of breeds of poultry that are genetically resistant to heat. This study aimed to investigate the effects of heat stress on the genetics of monthly egg production and examine the threshold point of heat stress for preventing thermal stress and its effects on chicken productivity. The data of 5,965 monthly egg production records of 629 Thai native Pradu Hang dum chickens were used for analysis in combination with the temperature-humidity index (THI) calculated by meteorological data near the testing station. The average THI throughout the year was 76.6, and the highest was 82. The THI data were subsequently used to find the threshold point of heat stress. The THI equation used in this study was chosen by its highest correlation (-0.306) between THI values and monthly egg production. At a THI of 74, the lowest -2 logL was found and was considered the threshold point of heat stress. This means that monthly egg production would start decreasing when the THI was 74. Heritability was 0.15±0.03, and genetic and permanent environmental correlations were -0.29 and -0.48, respectively. The threshold point was used to estimate the estimated breeding values (EBVs) of the monthly egg production and heat stress individually, and EBVs were calculated into the selection index. The selection index values when the animal was selected for the replacement herd for all chickens (top 50%, 30%, 20%, and 10%) were 0.14, 0.90, 1.27, 1.53, and 1.91, respectively, and the genetic progress was 0.55, 0.60, 0.68, 0.75, and 0.77, respectively. This shows that the selection index values are lower if there are many selected animals. The recommendation for animal genetic selection is that the top 10% is appropriately because it seems to be most preferred. Therefore, using a selection index for high egg production and heat tolerance in Thai native chickens is possible to achieve genetic assessment in a large population.
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Affiliation(s)
- Wipas Loengbudnark
- Department of Animal Science, Faculty of Agriculture, Khon Kaen University, Khon Kaen, Thailand
| | - Vibuntita Chankitisakul
- Department of Animal Science, Faculty of Agriculture, Khon Kaen University, Khon Kaen, Thailand
- The Research and Development Network Center of Animal Breeding and Omics, Khon Kaen University, Khon Kaen, Thailand
| | - Wuttigrai Boonkum
- Department of Animal Science, Faculty of Agriculture, Khon Kaen University, Khon Kaen, Thailand
- The Research and Development Network Center of Animal Breeding and Omics, Khon Kaen University, Khon Kaen, Thailand
- * E-mail:
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13
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Liu GY, Shi L, Chen YF, Chen H, Zhang C, Wang YT, Ning ZH, Wang DH. Estimation of genetic parameters of eggshell translucency and production traits in different genotypes of laying hens. Poult Sci 2023; 102:102616. [PMID: 37004251 PMCID: PMC10091017 DOI: 10.1016/j.psj.2023.102616] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/03/2022] [Revised: 02/16/2023] [Accepted: 02/22/2023] [Indexed: 03/03/2023] Open
Abstract
The translucency of eggshells is a ubiquitous appearance problem caused by moisture translocation and the accumulation of egg contents into the eggshell ultrastructure. Previous studies have mainly investigated the causes of eggshell translucency from nutritional and environmental perspectives. However, little is known of the effect of genetics the causes of eggshell translucency on hen production performance. To evaluate the genetic parameters of eggshell translucency and other production performance indicators, we performed an experiment on 3 pure hen lines: 624 Dwarf Layer-White, 1,612 Rhode Island Red, and 813 Rhode Island Red-White. We collected eggs from each hen over 5 d and measured eggshell translucent level (TL) using the grading method. Additionally we measured indicators of each hen during the laying period, including age at laying of the first egg (AFE), body weight at laying of the first egg (BWFE), weight of the first egg (FEW), body weight at 40 wk (BW40), egg weight at 40 wk (EW40), egg production up to 40 wk of age (EN), and calculated the genetic parameters among the indicators. The results showed that the estimated heritability of TL in the 3 genotypes were 0.30, 0.24, and 0.20, respectively, suggesting a low or moderate level of heritability. We found a positive correlation between TL and AFE, with genetic correlation coefficients 0.19 to 0.41, and negative genetic correlation between TL and EN, with correlation coefficient -0.36 to -0.19. Additionally, we observed positive correlation exists between AFE and FEW, BWFE and FEW, and BW40 and EW40; and negative correlation between AFE and EN in the 3 pure lines. These results enriched the research on heritability of eggshell translucency in different hen breeds and demonstrated moderate or low heritability of the indicator. Furthermore, eggshell translucency was negatively affected by AFE and EN. Our results provide a valuable reference for predicting selection response of eggshell translucency and production performance in brood hens, and locating the genes regulating eggshell translucency.
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14
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Neysi S, Ghaderi-Zefrehei M, Rafeie F, Dolatabady MM, Elahi Torshizi M, Zakizadeh S, Smith J. Estimation of genetic parameters for production, reproduction, and growth curve of Fars indigenous chicken. Anim Sci J 2023; 94:e13808. [PMID: 36653884 DOI: 10.1111/asj.13808] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/23/2022] [Revised: 12/08/2022] [Accepted: 12/22/2022] [Indexed: 01/20/2023]
Abstract
Iranian native chicken, including Fars indigenous chicken, is an important genetic resource due to its adaptation to stressful environmental conditions, good endurance and resistance to disease. The aim of this research was to determine the genetic infrastructure of Fars indigenous chicken using several nonlinear functions. The dataset included body weight at hatch (BW1), body weight at the 8th week (BW8), body weight at the 12th week (BW12), weight at sexual maturity (WSM), age at sexual maturity (ASM), number of eggs in the first 12 weeks of laying period (EN), egg weight at the first day of laying (EW1), average egg weight at the 28thday of laying (EW28), and average egg weight at weeks 28, 30, and 32 of the laying period (AEW). Growth models were fitted using the NLIN procedure and WOMBAT software was used to predict variance components for the best fit model parameters. Results suggested three-parameter models, for example, Gompertz, fitted better to the data than others. The maturity weight (A), initial weight (B), and maturity rate (K) parameters in the Gompertz model were 1996.8 ± 6.63, 4.11 ± 0.03, and 0.021 ± 0.0001, respectively. The heritability of A, B, and K parameters were 0.03, 0.05, and 0.12, respectively.
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Affiliation(s)
- Saeid Neysi
- Department of Animal Science, Animal Science and Food Technology Faculty, Agricultural Sciences and Natural Resources University of Khuzestan, Mollasani, Iran
| | | | - Farjad Rafeie
- Department of Agricultural Biotechnology, Faculty of Agricultural Sciences, University of Guilan, Rasht, Iran
| | | | - Mahdi Elahi Torshizi
- Department of Animal Science, Mashhad Branch, Islamic Azad University, Mashhad, Iran
| | - Sonia Zakizadeh
- Animal Science Research Institute of Iran (ASRII), Agriculture Research, Education and Extension Organization (AREEO), Karaj, Iran
| | - Jacqueline Smith
- The Roslin Institute, University of Edinburgh-Easter Bush Campus, Edinburgh, UK
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15
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Genetic Comparisons of Body Weight, Average Daily Gain, and Breast Circumference between Slow-Growing Thai Native Chickens (Pradu Hang dum) Raised On-Site Farm and On-Station. Vet Sci 2022; 10:vetsci10010011. [PMID: 36669012 PMCID: PMC9862915 DOI: 10.3390/vetsci10010011] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/13/2022] [Revised: 11/13/2022] [Accepted: 12/23/2022] [Indexed: 12/28/2022] Open
Abstract
To ensure that any new technology developed within an experimental station is appropriate to the community’s needs and compatible with the existing systems, on-site farm research is an important component in examining the effectiveness of agricultural research. The present study examined the growth performance and genetics of Thai native chickens under conditions typically experienced by farmers on smallholder farms (on-site farms) compared with at an experimental unit (on-station). There were 1694 Thai native chickens (Pradu Hang dum) used in this experiment, and they were divided into 613 chickens for the on-station and 1081 chickens for the on-site farm experiments. The individual chicken data included the birth weight (BW0) and body weight at 4, 8, 12, and 16 weeks of age (BW4, BW8, BW12, and BW16, respectively), ADG from 0−4, 4−8, 8−12, 12−16 weeks of age (ADG0−4, ADG4−8, ADG8−12, ADG12−16, respectively), and breast circumference at 8, 12, and 16 weeks of age (BrC8, BrC12, BrC16, respectively). A multiple traits animal model and a selection index were used to estimate the variance components, genetic parameters, and breeding values of growth traits. The results showed that the body weight, average daily gain, and breast circumference at 8, 12, and 16 weeks of age of Thai native chickens raised on-station were higher than those raised on-site at the farm among mixed-sex and sex-segregated chickens, while the birth weight and body weight at four weeks of age (BW0 and BW4) and ADG from 0−4 weeks of age (ADG0−4) were not significantly different (p > 0.05). The heritability estimates of body weight, average daily gain, and breast circumference in the chickens raised at the on-site farm and on-station were moderate to high, with on-station values slightly higher than on-site farm values. The heritability estimates of body weight were 0.236 to 0.499 for the on-site farm, and 0.291 to 0.499 for on-station. For average daily gain, the heritability estimates were 0.274 to 0.283 for the on-site farm and 0.298 to 0.313 for on-station; meanwhile, and for breast circumference, the heritability estimates were 0.204 to 0.268 for the on-site farm and 0.278 to 0.296 for on-station. Both phenotypic and genetic correlations among and between growth traits were positive and ranged from low to high values. The top 20% of the estimated breeding values and selection indices in the on-site farm and on-station experiments showed that the body weight at eight weeks of age (BW8), ADG from 4−8 weeks of age (ADG4−8), and breast circumference at eight weeks of age (BrC8) should be used as selection criteria for Thai native chicken breeding programs. In conclusion, the genetic parameters and breeding values in on-station experiments showed that the breeding program by selection index for improving growth performance is valid. Therefore, to implement such a breeding program in an on-site farm, an intensive or semi-intensive farm system should be considered to minimize the effect of genotype-environment interaction.
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16
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Ren T, Lin W, Yang X, Zhang Z, He S, Li W, Li Z, Zhang X. QPCTL Affects the Daily Weight Gain of the F2 Population and Regulates Myogenic Cell Proliferation and Differentiation in Chickens. Animals (Basel) 2022; 12:ani12243535. [PMID: 36552455 PMCID: PMC9774964 DOI: 10.3390/ani12243535] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/14/2022] [Revised: 12/10/2022] [Accepted: 12/11/2022] [Indexed: 12/16/2022] Open
Abstract
Molecular breeding can accelerate the process of animal breeding and improve the breeding efficiency. To date, many Indel molecular markers have been identified in livestock and poultry, but how Indels affect economic traits is not well understood. For molecular breeding, it is crucial to reveal the mechanism of action of Indels and to provide more accurate information. The purpose of this study was to investigate how the 52/224-bp multiallelic Indels of the chicken QPCTL promoter area affect the daily weight gain of chickens and the potential regulatory mechanism of the QPCTL gene. The analysis was conducted by association analysis, qPCR, dual-fluorescence assay and Western blotting. The results showed that Indels in the QPCTL promoter region were significantly associated with the daily weight gain in chickens and that QPCTL expression showed a decreasing trend in embryonic breast muscle tissues. Furthermore, QPCTL expression was significantly higher in breast muscle tissues of the AC genotype than in those of the AB and BB genotypes. Based on the transcriptional activity results, the pGL3-C vector produced more luciferase activity than pGL3-A and pGL3-B. In addition, overexpression of QPCTL promoted chicken primary myoblast (CPM) proliferation and inhibited differentiation. The results of this study suggest that Indels in the promoter region of the QPCTL gene may regulate the proliferation and differentiation of CPMs by affecting the expression of QPCTL, which ultimately affects the growth rate of chickens. These Indels have important value for the molecular breeding of chickens, and QPCTL can be used as a candidate gene to regulate and improve chicken growth and development.
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Affiliation(s)
- Tuanhui Ren
- Department of Animal Genetics, Breeding and Reproduction, College of Animal Science, South China Agricultural University, Guangzhou 510642, China
- Guangdong Provincial Key Lab of Agro-Animal Genomics and Molecular Breeding, and Key Laboratory of Chicken Genetics Breeding and Reproduction, Ministry of Agriculture, Guangzhou 510642, China
- College of Animal Science and Technology, Henan Agricultural University, Zhengzhou 450046, China
| | - Wujian Lin
- Department of Animal Genetics, Breeding and Reproduction, College of Animal Science, South China Agricultural University, Guangzhou 510642, China
- Guangdong Provincial Key Lab of Agro-Animal Genomics and Molecular Breeding, and Key Laboratory of Chicken Genetics Breeding and Reproduction, Ministry of Agriculture, Guangzhou 510642, China
| | - Xiuxian Yang
- Department of Animal Genetics, Breeding and Reproduction, College of Animal Science, South China Agricultural University, Guangzhou 510642, China
- Guangdong Provincial Key Lab of Agro-Animal Genomics and Molecular Breeding, and Key Laboratory of Chicken Genetics Breeding and Reproduction, Ministry of Agriculture, Guangzhou 510642, China
| | - Zihao Zhang
- Department of Animal Genetics, Breeding and Reproduction, College of Animal Science, South China Agricultural University, Guangzhou 510642, China
- Guangdong Provincial Key Lab of Agro-Animal Genomics and Molecular Breeding, and Key Laboratory of Chicken Genetics Breeding and Reproduction, Ministry of Agriculture, Guangzhou 510642, China
| | - Shizi He
- Department of Animal Genetics, Breeding and Reproduction, College of Animal Science, South China Agricultural University, Guangzhou 510642, China
- Guangdong Provincial Key Lab of Agro-Animal Genomics and Molecular Breeding, and Key Laboratory of Chicken Genetics Breeding and Reproduction, Ministry of Agriculture, Guangzhou 510642, China
| | - Wangyu Li
- Department of Animal Genetics, Breeding and Reproduction, College of Animal Science, South China Agricultural University, Guangzhou 510642, China
- Guangdong Provincial Key Lab of Agro-Animal Genomics and Molecular Breeding, and Key Laboratory of Chicken Genetics Breeding and Reproduction, Ministry of Agriculture, Guangzhou 510642, China
| | - Zhuanjian Li
- College of Animal Science and Technology, Henan Agricultural University, Zhengzhou 450046, China
- Correspondence: (Z.L.); (X.Z.)
| | - Xiquan Zhang
- Department of Animal Genetics, Breeding and Reproduction, College of Animal Science, South China Agricultural University, Guangzhou 510642, China
- Guangdong Provincial Key Lab of Agro-Animal Genomics and Molecular Breeding, and Key Laboratory of Chicken Genetics Breeding and Reproduction, Ministry of Agriculture, Guangzhou 510642, China
- Correspondence: (Z.L.); (X.Z.)
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17
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Comparative Study of Phenotypes and Genetics Related to the Growth Performance of Crossbred Thai Indigenous (KKU1 vs. KKU2) Chickens under Hot and Humid Conditions. Vet Sci 2022; 9:vetsci9060263. [PMID: 35737315 PMCID: PMC9228662 DOI: 10.3390/vetsci9060263] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/21/2022] [Revised: 05/20/2022] [Accepted: 05/30/2022] [Indexed: 11/16/2022] Open
Abstract
To improve the body weight and growth performance traits of crossbred Thai indigenous chickens, phenotypic performance and genetic values were estimated. Crossbred Thai indigenous chickens, designated KKU1 and KKU2, were compared. The data included 1375 records of body weight (BW0, BW2, BW4, and BW16), breast circumference at 6 weeks of age (BrC6), and average daily gain (ADG0−2, ADG0−4, and ADG0−6). A multi-trait animal model with the average information-restricted maximum likelihood (AI-REML) was used to estimate the genetic parameters and breeding values. The results showed that the body weight and breast circumference traits (BW2, BW4, BW6, and BrC6) for the mixed sex KKU1 chickens were higher than for the KKU2 chickens (p < 0.05). For the growth performance traits, the KKU1 chickens had higher average daily gain and feed intake and a lower feed conversion ratio than the KKU2 chickens (p < 0.05). The survival rates were not different except at up to 6 weeks of age, when that of the KKU1 chickens was slightly lower. The specific combining ability, heritability, genetic and phenotypic correlations, and estimated breeding values showed that the KKU1 chickens had better genetics than the KKU2 chickens. In conclusion, KKU1 chickens are suitable for development as crossbred Thai indigenous chickens for enhanced growth performance and for commercial use.
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Wang H, Cahaner A, Lou L, Zhang L, Ge Y, Li Q, Zhang X. Genetics and breeding of a black-bone and blue eggshell chicken line. 2. Laying patterns and egg production in two consecutive generations. Poult Sci 2022; 101:101679. [PMID: 35306315 PMCID: PMC8933698 DOI: 10.1016/j.psj.2021.101679] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/20/2021] [Revised: 12/08/2021] [Accepted: 12/10/2021] [Indexed: 12/04/2022] Open
Abstract
The BG line was originated from the cross between 2 Chinese indigenous breeds, Dongxiang blue eggshell, and Jiangshan black-bone, and has been bred to combine dark heavy black-bone body and high production of blue-shell eggs, into single dual-purpose line. Full-pedigree hens from 2 generations, G4 (n = 441) and G5 (n = 464), were reared in the same single-cage laying facility in 2019-2020 and 2020-2021, respectively. Starting from the first egg of each hen, its daily egg production was recorded until 300 days-of-age. Up to 7 "no-egg" days were considered normal laying breaks between clutches, whereas laying cessation of 8 or more days was considered Pause, and the laying pattern of each hen was assigned either with Pause or No-Pause. The other traits included PsDays: number of Pause days; AFE: age at first egg; EN300: eggs laid until 300 d; %L300: total laying rate (EN300/[300-AFE]); %Lnet: net laying rate (EN300/[300-AFE-PsDays]); ClLng: average clutch length; EW200 and EW300: average egg weight around 200 d and 300 d. Estimates of heritability (h2) of each trait, and phenotypic and genetic correlation between traits, were calculated in each generation using the animal model. Heritability estimates were calculated also by regressing the means of full-sib G5 hens on their G4 parents' means. Mean overall laying rate of all G4 hens was low (%L300 = 57%) because 53% of them had Pause in their laying pattern. In G5, incidence of Pause was higher (75%) due to a 3-wk cold stress, with mean %L300 = 54%. However, significant estimates of heritability and genetic correlations suggest that selection for low PsDays will reduce the incidence of Pause in BG hens and elevate the line's mean laying rate towards %L300 = 70%, as the No-Pause hens in G5. PsDays-free laying rate (%Lnet) was found to be highly correlated with the significantly heritable (h2≈0.4) clutch length (ClLng). Selection index combining the genetically independent low PsDays and high ClLng is expected to maximize egg production improvement in the BG line, and in similar populations derived from indigenous breeds.
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Affiliation(s)
- Huanhuan Wang
- Hangzhou Academy of Agricultural Sciences, Hangzhou 310024, China
| | - Avigdor Cahaner
- Faculty of Agriculture, Food and Environment, The Hebrew University of Jerusalem, Rehovot 76100, Israel
| | - Lifeng Lou
- Hangzhou Academy of Agricultural Sciences, Hangzhou 310024, China
| | - Lei Zhang
- Hangzhou Academy of Agricultural Sciences, Hangzhou 310024, China
| | - Ying Ge
- Hangzhou Academy of Agricultural Sciences, Hangzhou 310024, China
| | - Qinghai Li
- Hangzhou Academy of Agricultural Sciences, Hangzhou 310024, China
| | - Xuedong Zhang
- Hangzhou Academy of Agricultural Sciences, Hangzhou 310024, China.
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Genetic Evaluation of Body Weights and Egg Production Traits Using a Multi-Trait Animal Model and Selection Index in Thai Native Synthetic Chickens (Kaimook e-san2). Animals (Basel) 2022; 12:ani12030335. [PMID: 35158657 PMCID: PMC8833322 DOI: 10.3390/ani12030335] [Citation(s) in RCA: 11] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/16/2021] [Revised: 01/27/2022] [Accepted: 01/28/2022] [Indexed: 02/04/2023] Open
Abstract
To improve the genetics of both growth and egg production, which are limitations in purebred native chickens, new genetic lines can be developed using an appropriate genetic approach. The data used in this study included 2713 body weight (BW0, BW4, BW6, BW8, and BW10), breast circumference (BrC6), chicken age at first egg (AFE), and egg production (240EP, 270EP, 300EP, and 365EP) records covering the period 2015 to 2020. A multi-trait animal model with the average information-restricted maximum likelihood (AI-REML) and a selection index was used to estimate the variance components, genetic parameters, and breeding values. The results showed that males had significantly higher weights than females (p < 0.05) from 4 to 10 weeks of age and that this difference increased over the generations. The differences between BW0 and BrC6 by sex and generation were not significant (p > 0.05). The estimated heritability of body weight ranged from 0.642 (BW0) to 0.280 (BW10); meanwhile, the estimated heritability of BrC6 was moderate (0.284). For egg production traits, the estimated heritability of 240EP, 270EP, 300EP, and 365EP was 0.427, 0.403, 0.404, and 0.426, respectively, while the estimated heritability of AFE was 0.269. The genetic and phenotypic correlations among the growth traits (BW0 to BW10) were low to highly positive. The genetic and phenotypic correlations between growth (BW0 to BW10) and BrC6 traits were positive, and the genetic correlations between BW6 (0.80), BW8 (0.84), BW10 (0.93), and BrC6 were strongly positive. Genetic correlations among the egg production traits (240EP, 270EP, 300EP, and 365EP) were low to highly positive and ranged from 0.04 to 0.86. The genetic correlations between AFE and all egg production traits were low to moderately negative and ranged from −0.14 to −0.29. The positive genetic correlations between body weight (BW6, BW8, and BW10) and egg production traits were found only in 240EP. The average genetic progress of body weight traits ranged from −0.38 to 30.12 g per generation for BW0 to BW10 (p < 0.05); the genetic progress was 0.28 cm per generation for BrC6 (p > 0.05). The average genetic progress of cumulative egg production traits ranged from 4.25 to 12.42 eggs per generation for 240EP to 365EP (p < 0.05), while the average genetic progress of AFE was −7.12 days per generation (p < 0.05). In conclusion, our study suggests that the body weight at six weeks of age (BW6), breast circumference at six weeks of age (BrC6), cumulative egg production at 240 days of age (240EP), and age at first egg (AFE) are the traits that should be used as selection criteria, as they have a positive effect on the development of growth and egg production.
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Buranawit K, Laenoi W. Genetic parameters for production traits in F1 reciprocal crossbred Chee Fah and Fah Luang chickens. ANIMAL PRODUCTION SCIENCE 2022. [DOI: 10.1071/an20155] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/23/2022]
Abstract
ContextRecently, Chee Fah and Fah Luang chickens have been registered as a black-bone native chicken in Thailand. Only a few studies revealed genetic information about them. No publication has reported any data related to their cross-mating, particularly, genetic parameters.AimsThis study aimed to estimate genetic parameters for production traits of F1 generation of reciprocal crossbred Chee Fah and Fah Luang chickens.MethodsA dataset of production traits of two crossbred groups was used in the present study. Effects of breed, month-day of incubation and sex were tested at P<0.05. Genetic parameters were estimated using the restricted maximum likelihood method with multi-trait animal model.Key resultsThe crossbred Chee Fah×Fah Luang was significantly heavier and consumed more feed than Fah Luang×Chee Fah (P<0.05). Male chickens had significantly better 20-week-old bodyweight, feed conversion ratio and average daily gain compared with females for both crossbred groups (P<0.05). The effect of month-day of incubation had a significant influence on production traits (P<0.05), except for day-old bodyweight. Heritabilities for production traits of crossbred chickens were low to high. The highest estimate was observed for day-old bodyweight (0.97), followed by feed intake (0.40), 20-week-old bodyweight (0.06), average daily gain (0.05) and feed conversion ratio (0.03), respectively. Both positive and negative genetic correlations were found among their production traits. Favourable relationships were found between average daily gain versus bodyweight and versus feed conversion ratio (rgg=0.99 and −0.90, respectively). Similarly, production traits showed phenotypic correlations in both directions, which ranged from −0.95 to 0.99.ConclusionsHeritability estimations for production traits were found in low to high magnitude. The desirable genetic relationships were found between feed conversion ratio and day-old bodyweight, 20-week-old bodyweight and average daily gain, and between 20-week-old bodyweight and average daily gain.ImplicationsThese findings could be considered as a source of genetic data for enhancing production traits of crossbred black-bone native chickens.
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21
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Asiamah CA, Liu Y, Ye R, Pan Y, Lu LL, Zou K, Zhao Z, Jiang P, Su Y. Polymorphism analysis and expression profile of the estrogen receptor 2 gene in Leizhou black duck. Poult Sci 2021; 101:101630. [PMID: 35033905 PMCID: PMC8762077 DOI: 10.1016/j.psj.2021.101630] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/01/2021] [Revised: 11/13/2021] [Accepted: 11/25/2021] [Indexed: 12/30/2022] Open
Abstract
Our previous study on the ovarian transcriptomic analysis in Leizhou black duck revealed that the ESR2 gene was involved in hormone regulation in reproduction and the estrogen signaling pathway related to reproductive performance was enriched. This suggested that ESR2 may have a functional role in the reproductive performance of the Leizhou black duck. Thus, this study aimed at evaluating the polymorphism of the ESR2 gene and its association with egg-laying traits and the distribution pattern of ESR2 mRNA in laying and non-laying Leizhou black ducks. In this study, genomic DNA was extracted from blood samples of 101 Leizhou black ducks to identify single nucleotide polymorphisms (SNPs) of the ESR2 gene to elucidate molecular markers highly associated with egg-laying traits. Four each of laying and non-laying Leizhou black ducks were selected to collect different tissues to analyze the ESR2 gene expression. A total of 23 SNPs were identified and association analysis of the single SNP sites showed that SNPs g.56805646 T>C and exon 3-20G>A were significantly (P < 0.05) associated with egg weight. Ducks with CT and AG genotypes had significantly higher (P < 0.05) egg weights than their respective other genotypes. Haplotype association analysis of g.56805646 T>C and exon 3-20G>A showed that the haplotypes were significantly associated with egg weight. Higher egg weight was seen in individuals with H3H4 haplotypes. In the hypothalamus-pituitary-gonadal (HPG) axis, the results of qRT/PCR showed that ESR2 mRNA was significantly (P < 0.05) expressed in the ovaries of both duck groups than in the hypothalamus and pituitary. In the oviduct, ESR2 was significantly (P < 0.05) higher in the infundibulum and magnum of laying and non-laying ducks respectively. This study provides a molecular marker for selecting Leizhou black ducks for egg production. In addition, it offers theoretical knowledge for studying the related biological functions of the ESR2 gene at the cellular level.
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Affiliation(s)
- Collins Amponsah Asiamah
- College of Coastal Agriculture, Guangdong Ocean University, Zhanjiang, 524025, Guangdong, PR China
| | - Yuanbo Liu
- College of Coastal Agriculture, Guangdong Ocean University, Zhanjiang, 524025, Guangdong, PR China
| | - Rungen Ye
- College of Coastal Agriculture, Guangdong Ocean University, Zhanjiang, 524025, Guangdong, PR China
| | - Yiting Pan
- College of Coastal Agriculture, Guangdong Ocean University, Zhanjiang, 524025, Guangdong, PR China
| | - Li-Li Lu
- College of Coastal Agriculture, Guangdong Ocean University, Zhanjiang, 524025, Guangdong, PR China
| | - Kun Zou
- College of Coastal Agriculture, Guangdong Ocean University, Zhanjiang, 524025, Guangdong, PR China
| | - Zhihui Zhao
- College of Coastal Agriculture, Guangdong Ocean University, Zhanjiang, 524025, Guangdong, PR China
| | - Ping Jiang
- College of Coastal Agriculture, Guangdong Ocean University, Zhanjiang, 524025, Guangdong, PR China
| | - Ying Su
- College of Coastal Agriculture, Guangdong Ocean University, Zhanjiang, 524025, Guangdong, PR China.
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Balcha KA, Mengesha YT, Senbeta EK, Zeleke NA. Evaluation of different traits from day-old to age at first eggs of Fayoumi and White leghorn chickens and their reciprocal crossbreeds. J Adv Vet Anim Res 2021; 8:1-6. [PMID: 33860006 PMCID: PMC8043353 DOI: 10.5455/javar.2021.h478] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/02/2020] [Revised: 04/12/2020] [Accepted: 04/17/2020] [Indexed: 12/01/2022] Open
Abstract
Objective: This study evaluated the different traits from day-old to age at first eggs of Fayoumi and White leghorn (WLH) F1 chickens and their reciprocal crossbreeds. Materials and Methods: In this study, 1,000 eggs were used to obtain experimental chicks. However, only 150 chicks were selected from each genotype for subsequent trial evaluation and reared on the same diet in a completely randomized design. The effects of genotype on each considered trait were analyzed by the statistical analysis system, and Duncan’s multiple range test made a significant difference. Results: Comparative evaluations made on all parameters illustrated significant differences (p < 0.05) throughout the study period. F1 acquired from WLH cocks and Fayoumi hens maximized weights almost at all ages during brooding, whereas pure line Fayoumi showed lower importance for the trait stages of growth. Offspring from the crossbreed of WLH cocks and Fayoumi hens had the highest weight gain than any other crossbreeds from 4 to 8 and 12 to 16 weeks of age. Pure line WLH and Fayoumi lay larger eggs and smaller eggs (41.67 and 34.00 g), respectively. The highest and smallest body weight at the age of first egg was 1,364.89 and 1,178.36 g in the main crossbreed and Fayoumi line. The main WLH cock and Fayoumi hens and reciprocal crossbreds advanced in age at first egg by 4 and 11 days, respectively. Conclusion: The leghorn hen and Fayoumi cock crosses could be used to develop potential egg-laying lines than their reciprocal crossbreeds.
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23
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Rajkumar U, Prince LLL, Rajaravindra KS, Haunshi S, Niranjan M, Chatterjee RN. Analysis of (co) variance components and estimation of breeding value of growth and production traits in Dahlem Red chicken using pedigree relationship in an animal model. PLoS One 2021; 16:e0247779. [PMID: 33657155 PMCID: PMC7928508 DOI: 10.1371/journal.pone.0247779] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/24/2020] [Accepted: 02/16/2021] [Indexed: 11/22/2022] Open
Abstract
Variance and covariance components of growth and production traits were analyzed employing REML animal model to assess the Dahlem Red (PD-3) chicken population for direct additive genetic, maternal effects and to estimate the estimated breeding value (EBV), genetic parameters, genetic trends and rate of inbreeding (ΔF) utilizing seven generation’s data. The generation and hatch had significant (P≤0.01) effect on the body weight at 0 day (BW0), 2 (BW2), 4 (BW4) and 6 weeks (BW6) and shank length at six weeks of age (SL6). The average least squares means (LSM) for BW6 and SL6 were 273.93±0.62 g and 53.97±0.05 mm, respectively. All the production traits were significantly (P≤0.01) influenced by generation and hatch. The average LSM for age at sexual maturity (ASM), egg production up to 40 weeks (EP40) and egg mass up to 40 weeks (EM40) were 168.82±0.25 d, 72.60±0.41 eggs and 4.21±0.07 kg, respectively. Model 5 with additive direct, maternal genetic, maternal permanent environmental and residual variance components was the best for BW0, BW2 and BW4 based on the AIC values obtained in WOMBAT. Model 4 was the best model for BW6, SL6, ASM, EP40 and EM40 with additive direct, maternal permanent environmental and residual variance components. Maternal effects were higher during early age, decreased with age, and remained present until 20 weeks of age. The heritability (h2) estimates were low to moderate in magnitude for all the growth traits and ranged from 0.02±0.03 to 0.19±0.03. The maternal heritability was high at hatch (0.35±0.06), decreased gradually until 4th week (0.02±0.01) and ceased afterwards. The heritabilities of EP40 (0.11±0.03) and EM40 (0.12±0.04) were low. The direct additive genetic correlations (ra) between BW2, BW4, BW6 and SL6 were high and positive (P≤ 0.05). The additive genetic and maternal permanent environmental correlation between EP40 and EM40 were high and positive (P≤ 0.05). The EBV of EM40 was significant (P≤ 0.05) with 0.48 kg/generation in PD-3 chicken at the end of the seventh generation. The EBV of EP40 showed an increasing trend with a genetic gain of 1.87 eggs per generation. The average inbreeding coefficient of the population was 0.019 and average ΔF was 0.007 over the last seven generations of selection. The EBV trends for primary and associated traits showed linear trends in the desired direction and negligible inbreeding.
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Affiliation(s)
- U. Rajkumar
- ICAR-Directorate of Poultry Research, Rajendranagar, Hyderabad, Telangana, India
- * E-mail:
| | - L. Leslie Leo Prince
- ICAR-Directorate of Poultry Research, Rajendranagar, Hyderabad, Telangana, India
| | - K. S. Rajaravindra
- ICAR-Directorate of Poultry Research, Rajendranagar, Hyderabad, Telangana, India
| | - S. Haunshi
- ICAR-Directorate of Poultry Research, Rajendranagar, Hyderabad, Telangana, India
| | - M. Niranjan
- ICAR-Directorate of Poultry Research, Rajendranagar, Hyderabad, Telangana, India
| | - R. N. Chatterjee
- ICAR-Directorate of Poultry Research, Rajendranagar, Hyderabad, Telangana, India
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Purwantini D, Santosa RSS, Santosa SA, Susanto A, Candrasari DP, Ismoyowati I. Prolactin gene polymorphisms and associations with reproductive traits in Indonesian local ducks. Vet World 2020; 13:2301-2311. [PMID: 33363319 PMCID: PMC7750233 DOI: 10.14202/vetworld.2020.2301-2311] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/09/2020] [Accepted: 09/28/2020] [Indexed: 12/05/2022] Open
Abstract
Background and Aim: Reproductive traits play an important role in population increases and the egg production (EP) abilities of Indonesian local ducks (ILD). The prolactin (PRL) gene is a single chain polypeptide hormone belonging to a family of growth hormone genes that are mainly synthesized in the anterior pituitary gland in all vertebrates. It has a significant effect on reproductive traits and EP. Single nucleotide polymorphisms (SNPs) present in PRL are a useful molecular marker for EP. This study aimed to identify the PRL polymorphisms based on these SNPs and to uncover the associations with reproductive traits in ILD. Materials and Methods: A total of 280 ILDs consisting of Tegal and Magelang (F0) ducks and their reciprocal crosses, namely, Gallang (F1) and Maggal (F1), were maintained and specific variables were recorded, that is, age at first egg, body weight at first egg, first egg weight, and EP, for 90 days. Allele and genotype frequencies were used to determine the Hardy-Weinberg (H-W) equilibrium. The association between the SNP genotypes of PRL and reproductive traits was analyzed using one-way analysis of variance, following the GLM procedure of SAS. The genotypic effects on the reproductive traits were determined using regression analysis. Results: This study successfully amplified a polymerase chain reaction product of 190 bp, which was used to identify the SNP. Results indicated that PRL in ILDs is polymorphic. A SNP was found at position 164 nt (c.164G >A), consisting of three different genotypes, namely, GG, GA, and AA. The genotypes of Tegal and Magelang (F0), and Gallang (F1) populations were not in H-W equilibrium. The Maggal population (F1) was in H-W equilibrium. Significant associations were detected between the genotypes and EP in all ILDs (p<0.01), following a regression line of y=2.337x+64.605, with a determination coefficient of 0.0188 (r=0.14). Conclusion: PRL can be recommended as a candidate gene for reproductive traits in ILD, especially EP.
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Affiliation(s)
| | | | | | - Agus Susanto
- Faculty of Animal Science, University of Jenderal Soedirman, Indonesia
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Ullengala R, Prince LLL, Haunshi S, Paswan C, Chatterjee R. Estimation of breeding value, genetic parameters and maternal effects of economic traits in rural male parent line chicken using pedigree relationships in an animal model. J Anim Breed Genet 2020; 138:418-431. [PMID: 33354802 DOI: 10.1111/jbg.12531] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/21/2020] [Revised: 11/28/2020] [Accepted: 12/02/2020] [Indexed: 11/30/2022]
Abstract
Breeding value (BV), genetic parameters and additive genetic, and maternal effects were evaluated on growth and production traits utilizing data from eight generations employing animal model in a rural male parent line (PD-6) chicken at ICAR-Directorate of Poultry Research, Hyderabad, India. The least squares means (LSM) for body weight (BW) and shank length (SL) up to 6 weeks of age varied significantly (p ≤ .01) among the generations and hatches. BW increased significantly (p ≤ .01) over the generations and decreased with the hatches. Sex also had a significant effect on BW and shank length except for BW at 0 day (BW0). LSM for BW (BW6) and Shank length (SL6) at 6 weeks of age were 598.84 ± 0.79 g and 74.57 ± 0.04 mm, respectively. Males recorded significantly (p ≤ .01) higher BWs and shank length. All the production traits were significantly (p ≤ .01) influenced by the generation effect. The overall LSM for age at sexual maturity (ASM), egg production at 40 weeks (EP40) and egg weight at 40 weeks (EW40) were 164.93 ± 0.23 days, 74.66 ± 0.40 eggs and 54.79 ± 0.08 g, respectively. Model 3 with additive, maternal permanent environmental and residual effects was the appropriate model for BW2, BW4, BW6, SL4 and SL6, whereas Model 4 with maternal effects was the best for BW0. The heritability estimates for BW6 and SL6 were 0.22 ± 0.02 and 0.18 ± 0.02, respectively. Model 1 with additive direct and residual effects was the best appropriate model for all the production traits. The heritability estimates of EP40 and EW40 were 0.16 ± 0.04 and 0.34 ± 0.05, respectively. BW and shank length were highly correlated with significant (p ≤ .05) positive association from different components. The correlation coefficient from direct additive component between egg production and BW40 was negative, while it was positive with less magnitude between egg production and BW20. The egg production and egg weights had a negative association at different ages. BV of SL6, the primary trait of selection, was significant (p ≤ .05) across the generations and increased linearly with an average genetic gain of 1.05 mm per generation. BV of BW6 was also significant (p ≤ .05) and increased linearly as correlated response with an average genetic response of 22.34 g per generation. BV of EP40 showed an increasing trend with a genetic gain of 0.02 eggs per generation. The EW 40 also increased linearly with an average genetic gain of 0.06 g. The average inbreeding coefficient of the population was 0.015. The study concluded that the population was in ideal status with a linearly increasing trend of average BV with negligible inbreeding over the eight generations of selection.
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26
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RAJKUMAR U, PRINCE LLL, HAUNSHI S, PASWAN C, REDDY BLN. Evaluation of Vanaraja female line chicken for growth, production, carcass and egg quality traits. THE INDIAN JOURNAL OF ANIMAL SCIENCES 2020. [DOI: 10.56093/ijans.v90i4.104212] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/14/2022]
Abstract
Vanaraja female line (PD-2) chicken was evaluated for growth, production, carcass and egg quality traits utilizing the data generated from 3,737 chicks and 599 hens produced in pedigreed mating with 50 sires and 250 dams at ICAR-Directorate of Poultry Research, Hyderabad, Telangana. Fertility was 86.63% and the hatchability was 86.72% on fertile egg set and 72.53% on total egg set basis in PD-2 line. The least squares means (LSM) for six week body weight and shank length were 662.38±2.54 g and 71.48±0.12 mm, respectively. Sex had significant influence on live weight, thigh and wing proportions wherein cocks had heavier and stronger legs and wings. Abdominal fat was significantly higher in females. The egg production up to 40 and 52 weeks of age was 80.29±0.03 and 133.16±0.05 eggs, respectively. The egg mass up to 52 weeks of age was 7447.41±2.98 g in PD-2 line. The heritability was low up to 15% for egg production and 17% for egg mass, the primary trait of selection in PD-2 line. Egg mass and egg weights at different ages had positive association as larger and high number of eggs contributed more to the egg mass. The egg mass and egg production had a significant positive association in PD-2 line. The egg quality was reasonably fair with average shape index of 75.22 and Haugh unit of 79.0±0.62. The albumen, yolk and shell weights were 30.20±0.14, 15.8±0.09, 0.40±0.02 g, respectively. The proportion of heritability and the magnitude of association between the important traits provide requisite information for implementing the breeding program for improvement of egg production in PD-2 line.
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27
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Ren T, Yang Y, Lin W, Li W, Xian M, Fu R, Zhang Z, Mo G, Luo W, Zhang X. A 31-bp indel in the 5' UTR region of GNB1L is significantly associated with chicken body weight and carcass traits. BMC Genet 2020; 21:91. [PMID: 32847500 PMCID: PMC7450547 DOI: 10.1186/s12863-020-00900-z] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/05/2020] [Accepted: 08/16/2020] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND G-protein subunit beta 1 like (GNB1L) encodes a G-protein beta-subunit-like polypeptide. Chicken GNB1L is upregulated in the breast muscle of high feed efficiency chickens, and its expression is 1.52-fold that in low feed efficiency chickens. However, no report has described the effects of GNB1L indels on the chicken carcass and growth traits. RESULTS This study identified a 31-bp indel in the 5' untranslated region (UTR) of GNB1L and elucidated the effect of this gene mutation on the carcass and growth traits in chickens. The 31-bp indel showed a highly significant association with the body weight at 8 different stages and was significantly correlated with daily gains at 0 to 4 weeks and 4 to 8 weeks. Similarly, the mutation was significantly associated with small intestine length, breast width, breast depth and breast muscle weight. Moreover, DD and ID were superior genotypes for chicken growth and carcass traits. CONCLUSIONS These results show that the 31-bp indel of GNB1L significantly affects chicken body weight and carcass traits and can serve as a candidate molecular marker for chicken genetics and breeding programs.
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Affiliation(s)
- Tuanhui Ren
- Department of Animal Genetics, Breeding and Reproduction, College of Animal Science, South China Agricultural University, Guangzhou, 510642, Guangdong, China.,Guangdong Provincial Key Lab of Agro-Animal Genomics and Molecular Breeding, and Key Laboratory of Chicken Genetics, Breeding and Reproduction, Ministry of Agriculture, Guangzhou, 510642, Guangdong, China.,College of Life Science, Foshan University, Foshan, 528231, Guangdong, China
| | - Ying Yang
- Department of Animal Genetics, Breeding and Reproduction, College of Animal Science, South China Agricultural University, Guangzhou, 510642, Guangdong, China
| | - Wujian Lin
- Department of Animal Genetics, Breeding and Reproduction, College of Animal Science, South China Agricultural University, Guangzhou, 510642, Guangdong, China.,Guangdong Provincial Key Lab of Agro-Animal Genomics and Molecular Breeding, and Key Laboratory of Chicken Genetics, Breeding and Reproduction, Ministry of Agriculture, Guangzhou, 510642, Guangdong, China
| | - Wangyu Li
- Department of Animal Genetics, Breeding and Reproduction, College of Animal Science, South China Agricultural University, Guangzhou, 510642, Guangdong, China.,Guangdong Provincial Key Lab of Agro-Animal Genomics and Molecular Breeding, and Key Laboratory of Chicken Genetics, Breeding and Reproduction, Ministry of Agriculture, Guangzhou, 510642, Guangdong, China
| | - Mingjian Xian
- Department of Animal Genetics, Breeding and Reproduction, College of Animal Science, South China Agricultural University, Guangzhou, 510642, Guangdong, China.,Guangdong Provincial Key Lab of Agro-Animal Genomics and Molecular Breeding, and Key Laboratory of Chicken Genetics, Breeding and Reproduction, Ministry of Agriculture, Guangzhou, 510642, Guangdong, China
| | - Rong Fu
- Department of Animal Genetics, Breeding and Reproduction, College of Animal Science, South China Agricultural University, Guangzhou, 510642, Guangdong, China.,Guangdong Provincial Key Lab of Agro-Animal Genomics and Molecular Breeding, and Key Laboratory of Chicken Genetics, Breeding and Reproduction, Ministry of Agriculture, Guangzhou, 510642, Guangdong, China
| | - Zihao Zhang
- Department of Animal Genetics, Breeding and Reproduction, College of Animal Science, South China Agricultural University, Guangzhou, 510642, Guangdong, China.,Guangdong Provincial Key Lab of Agro-Animal Genomics and Molecular Breeding, and Key Laboratory of Chicken Genetics, Breeding and Reproduction, Ministry of Agriculture, Guangzhou, 510642, Guangdong, China
| | - Guodong Mo
- Department of Animal Genetics, Breeding and Reproduction, College of Animal Science, South China Agricultural University, Guangzhou, 510642, Guangdong, China.,Guangdong Provincial Key Lab of Agro-Animal Genomics and Molecular Breeding, and Key Laboratory of Chicken Genetics, Breeding and Reproduction, Ministry of Agriculture, Guangzhou, 510642, Guangdong, China
| | - Wen Luo
- Department of Animal Genetics, Breeding and Reproduction, College of Animal Science, South China Agricultural University, Guangzhou, 510642, Guangdong, China.,Guangdong Provincial Key Lab of Agro-Animal Genomics and Molecular Breeding, and Key Laboratory of Chicken Genetics, Breeding and Reproduction, Ministry of Agriculture, Guangzhou, 510642, Guangdong, China
| | - Xiquan Zhang
- Department of Animal Genetics, Breeding and Reproduction, College of Animal Science, South China Agricultural University, Guangzhou, 510642, Guangdong, China. .,Guangdong Provincial Key Lab of Agro-Animal Genomics and Molecular Breeding, and Key Laboratory of Chicken Genetics, Breeding and Reproduction, Ministry of Agriculture, Guangzhou, 510642, Guangdong, China.
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Tongsiri S, Van der Werf JHJ, Li L, Jeyaruban MG, Wolcott ML, Hermesch S, Chormai T. Using random regression models to estimate genetic variation in growth pattern and its association with sexual maturity of Thai native chickens. Br Poult Sci 2020; 61:615-623. [PMID: 32703033 DOI: 10.1080/00071668.2020.1797995] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/23/2022]
Abstract
1. Genetic (co)variances and parameters between body weights (BW) across the growth trajectory were estimated using a univariate random regression (RR) animal model. The effect of growth rates (GH) on age at first egg (AFE) and egg weight at first egg (EWFE) were explored using a series of univariate and bivariate analyses. 2. Body weights were taken from Thai native chickens at hatch day to 168 days of age. The model included interactions between age with hatch nested within year and sex as fixed effects, and random effects of direct additive genetic, direct permanent environmental, maternal genetic and maternal permanent environmental effects. All random effects were fitted as regressions to animals' age via quadratic Legendre polynomials and fitting six classes of residual variances was identified as an optimal variance structure to estimate parameters. 3. Genetic and phenotypic variances for BW increased with increasing age. Estimated heritabilities for direct additive (h2 a) and maternal genetic (h2 m) effects on BW traits ranged from 0.34 to 0.54, and 0.04 to 0.06, respectively. Estimated variance ratios for direct (c2 ape) and maternal permanent environmental (c2 mpe) effects ranged from 0.19 to 0.48 and 0.10 to 0.12, respectively. Estimated correlations between weights at different ages were high for all random effects. 4. Estimated h2 a for six GH traits ranged from 0.06 to 0.28, while for AFE and EWFE these were 0.24 and 0.16, respectively. Estimated h2 m and c2 mpe were low for GH. Estimated genetic correlations between GH and AFE ranged from -0.22 to 0.02 and, between GH and EWFE, ranged from -0.05 to 0.40. These estimates suggested that selecting high GH chickens at 28 days of age can be expected to reduce AFE and to increase EWFE.
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Affiliation(s)
- S Tongsiri
- Animal Genetics and Breeding Unit Is a Joint Venture of NSW Department of Primary Industries, University of New England , Armidale, Australia.,Department of Livestock Development, Prachin Buri, Thailand
| | - J H J Van der Werf
- School of Environmental and Rural Science, University of New England , Armidale, Australia
| | - L Li
- Animal Genetics and Breeding Unit Is a Joint Venture of NSW Department of Primary Industries, University of New England , Armidale, Australia
| | - M G Jeyaruban
- Animal Genetics and Breeding Unit Is a Joint Venture of NSW Department of Primary Industries, University of New England , Armidale, Australia
| | - M L Wolcott
- Animal Genetics and Breeding Unit Is a Joint Venture of NSW Department of Primary Industries, University of New England , Armidale, Australia
| | - S Hermesch
- Animal Genetics and Breeding Unit Is a Joint Venture of NSW Department of Primary Industries, University of New England , Armidale, Australia
| | - T Chormai
- Department of Livestock Development, Prachin Buri, Thailand
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29
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RAJKUMAR U, NIRANJAN M, PRINCE LLL, PASWAN C, HAUNSHI S, REDDY BLN. Genetic evaluation of growth and production performance and short term selection response for egg mass in Gramapriya female line chicken. THE INDIAN JOURNAL OF ANIMAL SCIENCES 2020. [DOI: 10.56093/ijans.v90i3.102520] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/14/2022]
Abstract
A comprehensive study was carried out in Gramapriya female line (PD-3) with respect to growth, production, selection response and population structure utilizing the data generated for the last 7 generations at ICAR-Directorate of Poultry Research, Hyderabad, Telangana. The average fertility was 71.89% and hatchability was 80.52% on fertile egg set and 57.08% on total egg set. The least squares means (LSMs) for body weight at 4 and 6 weeks of age were 168.06±0.01 and 320.10±0.02 g, respectively. The heritability estimates from sire and dam components of variance were moderate to high for both body weight and shank length (0.27 to 0.35). The correlation coefficients (genetic and phenotypic) between body weights and shank length were positive and high in magnitude except with day old body weight. Age at sexual maturity (ASM) was 171.47±0.01 days in PD-3 population. The part period egg production (EP 40) at 40 weeks of age was 75.60±0.01 eggs with an egg mass (EM 40) of 4,157.19±0.99 g. The h2 estimates for ASM, EW 40, EP 40 and EM 40 were 0.16±0.07, 0.42±0.11, 0.18±0.07 and 0.15±0.06, respectively, which were moderate to high in magnitude. The egg production at 40 weeks of age was negatively associated with ASM, body weight and egg weight at different ages. Egg mass had significant positive association with egg production and egg weight at 40 weeks of age. The selection intensity (i) ranged from 0.32 to 0.85 while, rate of inbreeding ranged between 0.0031 and 0.0033 in PD-3 line. The direct selection response was 151.54 g on genetic scale and 79.75 on phenotypic scale for primary trait of selection, EM 40 over the last 7 generations. Realized and estimated heritability estimates were 0.29 and 0.15, respectively for EM 40. The study concluded that, PD-3 population was in ideal condition with respect to growth and production performance. Positive selection response for primary trait EM 40 was observed in the population maintaining both egg production and egg weight, the important traits for sustainable rural poultry farming.
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30
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Ren T, Zhang Z, Fu R, Yang Y, Li W, Liang J, Mo G, Luo W, Zhang X. A 51 bp indel polymorphism within the PTH1R gene is significantly associated with chicken growth and carcass traits. Anim Genet 2020; 51:568-578. [PMID: 32400914 DOI: 10.1111/age.12942] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 03/28/2020] [Indexed: 01/04/2023]
Abstract
Parathyroid hormone (PTH) is a crucial regulator of calcium homeostasis and bone remodeling, and the parathyroid hormone 1 receptor (PTH1R) belongs to a class II G-protein-coupled receptor. PTH activates PTH1R, which mediates catabolic and anabolic processes in the skeleton. However, the functional mechanism of PTH1R has not been thoroughly elucidated in organisms. This study identified a 51 bp indel mutation in the first intron of the PTH1R gene and elucidated the effect of this gene mutation on the growth and carcass traits in chickens. The results indicated that the 51 bp indel was significantly associated with subcutaneous fat thickness, abdominal fat weight, body weight and daily gain over 4-8 weeks. Furthermore, we found that PTH1R gene expression was highest in the kidney and liver tissues, and it showed a trend of decreasing in leg and breast muscle tissues at different embryonic stages. In addition, we examined the expression of the three genotypes of the PTH1R gene in the liver, breast muscle and abdominal fat and found that the II genotype was significantly higher than the DD and ID genotypes. In summary, these findings suggest that the PTH1R gene can serve as a potential molecular marker for chicken breeding.
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Affiliation(s)
- T Ren
- Department of Animal Genetics, Breeding and Reproduction, College of Animal Science, South China Agricultural University, Guangzhou, 510642, Guangdong, China.,Guangdong Provincial Key Laboratory of Agro-Animal Genomics and Molecular Breeding, Key Laboratory of Chicken Genetics, Breeding and Reproduction, Ministry of Agriculture, Guangzhou, 510642, Guangdong, China
| | - Z Zhang
- Department of Animal Genetics, Breeding and Reproduction, College of Animal Science, South China Agricultural University, Guangzhou, 510642, Guangdong, China.,Guangdong Provincial Key Laboratory of Agro-Animal Genomics and Molecular Breeding, Key Laboratory of Chicken Genetics, Breeding and Reproduction, Ministry of Agriculture, Guangzhou, 510642, Guangdong, China
| | - R Fu
- Department of Animal Genetics, Breeding and Reproduction, College of Animal Science, South China Agricultural University, Guangzhou, 510642, Guangdong, China.,Guangdong Provincial Key Laboratory of Agro-Animal Genomics and Molecular Breeding, Key Laboratory of Chicken Genetics, Breeding and Reproduction, Ministry of Agriculture, Guangzhou, 510642, Guangdong, China
| | - Y Yang
- Department of Animal Genetics, Breeding and Reproduction, College of Animal Science, South China Agricultural University, Guangzhou, 510642, Guangdong, China
| | - W Li
- Department of Animal Genetics, Breeding and Reproduction, College of Animal Science, South China Agricultural University, Guangzhou, 510642, Guangdong, China.,Guangdong Provincial Key Laboratory of Agro-Animal Genomics and Molecular Breeding, Key Laboratory of Chicken Genetics, Breeding and Reproduction, Ministry of Agriculture, Guangzhou, 510642, Guangdong, China
| | - J Liang
- Department of Animal Genetics, Breeding and Reproduction, College of Animal Science, South China Agricultural University, Guangzhou, 510642, Guangdong, China.,Guangdong Provincial Key Laboratory of Agro-Animal Genomics and Molecular Breeding, Key Laboratory of Chicken Genetics, Breeding and Reproduction, Ministry of Agriculture, Guangzhou, 510642, Guangdong, China
| | - G Mo
- Department of Animal Genetics, Breeding and Reproduction, College of Animal Science, South China Agricultural University, Guangzhou, 510642, Guangdong, China.,Guangdong Provincial Key Laboratory of Agro-Animal Genomics and Molecular Breeding, Key Laboratory of Chicken Genetics, Breeding and Reproduction, Ministry of Agriculture, Guangzhou, 510642, Guangdong, China
| | - W Luo
- Department of Animal Genetics, Breeding and Reproduction, College of Animal Science, South China Agricultural University, Guangzhou, 510642, Guangdong, China.,Guangdong Provincial Key Laboratory of Agro-Animal Genomics and Molecular Breeding, Key Laboratory of Chicken Genetics, Breeding and Reproduction, Ministry of Agriculture, Guangzhou, 510642, Guangdong, China
| | - X Zhang
- Department of Animal Genetics, Breeding and Reproduction, College of Animal Science, South China Agricultural University, Guangzhou, 510642, Guangdong, China.,Guangdong Provincial Key Laboratory of Agro-Animal Genomics and Molecular Breeding, Key Laboratory of Chicken Genetics, Breeding and Reproduction, Ministry of Agriculture, Guangzhou, 510642, Guangdong, China
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31
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Khaltabadi Farahani AH, Mohammadi H, Moradi MH, Ghasemi HA. Identification of potential genomic regions for egg weight by a haplotype-based genome-wide association study using Bayesian methods. Br Poult Sci 2020; 61:251-257. [PMID: 32008362 DOI: 10.1080/00071668.2020.1724879] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/19/2022]
Abstract
1. Theoretically, haplotype blocks might be a more suitable alternative to SNP genotypes as they are usually better at capturing multi-allelic QTL effects, compared to individual SNP genotypes in genome-wide association studies. The objectives of this study were to identify genomic regions related to egg weight traits by Bayesian methods (BayesA, BayesB, and BayesN) that fit fixed-length haplotypes using GenSel software. 2. Genotypes at 294,705 SNPs, that were common on a 600K Affymetrix chip, were phased for an egg-laying hen population of 1,063 birds. Recorded traits included first egg weight (FEW) and average egg weight at 28, 36, 56, 66, 72 and 80 weeks of age. 2. Fitting 1Mb haplotypes from BayesB resulted in the highest proportion of genetic variance explained for the egg weight traits. Based on the trait, the genetic variance explained by each marker ranged from 27% to 76%. 3. Different haplotype windows associated with egg weight traits only explained a small percentage of the genetic variance. 4. The top one 1-Mb window on GGA1 explained approximately 4.05% of total genetic variance for the FEW. Candidate genes, including PRKAR2B, HMGA2, LEMD3, GRIP1, EHBP1, MAP3K7, and MYH were identified for egg weight traits. 5. Several genomic regions, potentially associated with egg weight traits, were identified, some of which overlapped with known genes and previously reported QTL regions for egg production traits.
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Affiliation(s)
- A H Khaltabadi Farahani
- Department of Animal Sciences, Faculty of Agriculture and Natural Resources, Arak University , Arak, Iran
| | - H Mohammadi
- Department of Animal Science, Faculty of Agricultural Sciences, University of Tabriz , Tabriz, Iran
| | - M H Moradi
- Department of Animal Sciences, Faculty of Agriculture and Natural Resources, Arak University , Arak, Iran
| | - H A Ghasemi
- Department of Animal Sciences, Faculty of Agriculture and Natural Resources, Arak University , Arak, Iran
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32
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Wang X, Wei C, Zhang Z, Liu D, Guo Y, Sun G, Wang Y, Li H, Tian Y, Kang X, Han R, Li Z. Association of growth traits with a structural variation downstream of the KCNJ11 gene: a large population-based study in chickens. Br Poult Sci 2020; 61:320-327. [PMID: 32008360 DOI: 10.1080/00071668.2020.1724878] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/11/2022]
Abstract
1. The potassium voltage-gated channel subfamily J member 11 gene (KCNJ11) is involved in the insulin secretion pathway. Studies have shown that mutation in this gene is associated with muscle weakness. The objective of the present study was to establish the association between KCNJ11 gene polymorphism and chicken growth performance and to analyse its expression pattern. 2. A novel 163-bp insertion/deletion (indel) polymorphism was identified in the region downstream of the KCNJ11 gene in 2330 individuals from ten populations by polymerase chain reaction (PCR). An F2 resource population was used to investigate the genetic effects of the chicken KCNJ11 gene. Association analysis showed that the indel was significantly associated with chicken growth traits and that the phenotypic value of the ins-ins (II) genotype is higher than that of the ins-del (ID) and del-del (DD) genotypes. 3. Gene expression for different genotypes showed that birds carrying the II allele had a higher expression level than the DD genotypes. Analysis of tissue and spatiotemporal expression patterns indicated that the KCNJ11 gene was highly expressed in muscle tissues, with the highest levels in muscle tissue at one week of age, and that a 10% crude protein diet reduced the expression of this gene, average daily gain and muscle fibre diameter. 4. The results suggested that this novel 163-bp indel has the potential to become a new target for marker-assisted selection.
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Affiliation(s)
- X Wang
- Department of Animal Breeding and Genetics, No.15 Longzihu University Area, Zhengdong New District, College of Animal Science and Veterinary Medicine, Henan Agricultural University , Zhengzhou, China
| | - C Wei
- Department of Animal Breeding and Genetics, No.15 Longzihu University Area, Zhengdong New District, College of Animal Science and Veterinary Medicine, Henan Agricultural University , Zhengzhou, China
| | - Z Zhang
- Department of Animal Breeding and Genetics, No.15 Longzihu University Area, Zhengdong New District, College of Animal Science and Veterinary Medicine, Henan Agricultural University , Zhengzhou, China
| | - D Liu
- Department of Animal Breeding and Genetics, No.15 Longzihu University Area, Zhengdong New District, College of Animal Science and Veterinary Medicine, Henan Agricultural University , Zhengzhou, China
| | - Y Guo
- Department of Animal Breeding and Genetics, No.15 Longzihu University Area, Zhengdong New District, College of Animal Science and Veterinary Medicine, Henan Agricultural University , Zhengzhou, China
| | - G Sun
- Department of Animal Breeding and Genetics, No.15 Longzihu University Area, Zhengdong New District, College of Animal Science and Veterinary Medicine, Henan Agricultural University , Zhengzhou, China.,Henan Innovative Engineering Research Center of Poultry Germplasm Resource, No.15 Longzihu University Area, Zhengdong New District, College of Animal Science and Veterinary Medicine, Henan Agricultural University , Zhengzhou, China
| | - Y Wang
- Department of Animal Breeding and Genetics, No.15 Longzihu University Area, Zhengdong New District, College of Animal Science and Veterinary Medicine, Henan Agricultural University , Zhengzhou, China.,Henan Innovative Engineering Research Center of Poultry Germplasm Resource, No.15 Longzihu University Area, Zhengdong New District, College of Animal Science and Veterinary Medicine, Henan Agricultural University , Zhengzhou, China
| | - H Li
- Department of Animal Breeding and Genetics, No.15 Longzihu University Area, Zhengdong New District, College of Animal Science and Veterinary Medicine, Henan Agricultural University , Zhengzhou, China.,Henan Innovative Engineering Research Center of Poultry Germplasm Resource, No.15 Longzihu University Area, Zhengdong New District, College of Animal Science and Veterinary Medicine, Henan Agricultural University , Zhengzhou, China
| | - Y Tian
- Department of Animal Breeding and Genetics, No.15 Longzihu University Area, Zhengdong New District, College of Animal Science and Veterinary Medicine, Henan Agricultural University , Zhengzhou, China.,Henan Innovative Engineering Research Center of Poultry Germplasm Resource, No.15 Longzihu University Area, Zhengdong New District, College of Animal Science and Veterinary Medicine, Henan Agricultural University , Zhengzhou, China
| | - X Kang
- Department of Animal Breeding and Genetics, No.15 Longzihu University Area, Zhengdong New District, College of Animal Science and Veterinary Medicine, Henan Agricultural University , Zhengzhou, China.,Henan Innovative Engineering Research Center of Poultry Germplasm Resource, No.15 Longzihu University Area, Zhengdong New District, College of Animal Science and Veterinary Medicine, Henan Agricultural University , Zhengzhou, China
| | - R Han
- Department of Animal Breeding and Genetics, No.15 Longzihu University Area, Zhengdong New District, College of Animal Science and Veterinary Medicine, Henan Agricultural University , Zhengzhou, China.,Henan Innovative Engineering Research Center of Poultry Germplasm Resource, No.15 Longzihu University Area, Zhengdong New District, College of Animal Science and Veterinary Medicine, Henan Agricultural University , Zhengzhou, China
| | - Z Li
- Department of Animal Breeding and Genetics, No.15 Longzihu University Area, Zhengdong New District, College of Animal Science and Veterinary Medicine, Henan Agricultural University , Zhengzhou, China.,Henan Innovative Engineering Research Center of Poultry Germplasm Resource, No.15 Longzihu University Area, Zhengdong New District, College of Animal Science and Veterinary Medicine, Henan Agricultural University , Zhengzhou, China
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Emamgholi Begli H, Wood B, Abdalla E, Balzani A, Willems O, Schenkel F, Harlander-Matauschek A, Baes C. Genetic parameters for clutch and broodiness traits in turkeys (Meleagris Gallopavo) and their relationship with body weight and egg production. Poult Sci 2019; 98:6263-6269. [PMID: 31407014 PMCID: PMC8913747 DOI: 10.3382/ps/pez446] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/15/2019] [Accepted: 08/07/2019] [Indexed: 11/30/2022] Open
Abstract
The objective of this study was to estimate phenotypic and genetic parameters for clutch and broodiness (BR) traits in turkeys and their relationship with body weight and egg production. Data on dam line hens was available and included: body weight at 18 wk of age (BW18), body weight at lighting (BWL, 29 to 33 wk), age at first egg (AFE), egg number (EN), rate of lay (RL), clutch length (CL), maximum clutch length (MCL), pause length (PL), maximum PL (MPL) and BR. BR was defined as the average number of consecutive pause days between clutches that was higher than the average PL per hen. Heritability estimates for BW18 and BWL were 0.50 and 0.53, respectively. The heritability for egg production, clutch, and pause traits varied from low (MPL = 0.15; BR = 0.15) to moderate (AFE = 0.22; EN = 0.28; RL = 0.29; CL = 0.21; MCL = 0.27; PL = 0.25). Genetic correlations were negative between body weight traits and EN (rg (BW18, EN) = -0.27; rg(BWL, EN) = -0.33) and CL (rg(BW18, CL) = -0.40; rg(BWL, CL) = -0.33). BR was negatively genetically correlated with EN (rg(BR, EN) = -0.85) and CL (rg(BR, CL) = -0.30), and positively genetically correlated with PL (rg(BR, PL) = 0.93) and AFE (rg(BR, AFE) = 0.21). EN had a positive (0.73) and a negative (-0.84) genetic correlation with CL and PL, respectively. Overall, the results of this study confirmed the negative (unfavorable) correlations between egg production and body weight. Despite unfavorable genetic and phenotypic correlations between egg production traits and those relating to BR, the inclusion of BR in a selection program through incorporation of clutch length traits and pause length traits is feasible. Integration of either clutch length traits or pause length traits in a selection index is likely to increase egg number while decreasing broodiness.
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Affiliation(s)
- H. Emamgholi Begli
- Centre for Genetic Improvement of Livestock, Department of Animal Biosciences, University of Guelph, Guelph, Ontario, N1G 2W1, Canada
| | - B.J. Wood
- Centre for Genetic Improvement of Livestock, Department of Animal Biosciences, University of Guelph, Guelph, Ontario, N1G 2W1, Canada
- Hybrid Turkeys, A Hendrix Genetics Company, Kitchener, Ontario, N2K 3S2, Canada
| | - E.A. Abdalla
- Centre for Genetic Improvement of Livestock, Department of Animal Biosciences, University of Guelph, Guelph, Ontario, N1G 2W1, Canada
| | - A. Balzani
- Centre for Genetic Improvement of Livestock, Department of Animal Biosciences, University of Guelph, Guelph, Ontario, N1G 2W1, Canada
| | - O. Willems
- Hybrid Turkeys, A Hendrix Genetics Company, Kitchener, Ontario, N2K 3S2, Canada
| | - F. Schenkel
- Centre for Genetic Improvement of Livestock, Department of Animal Biosciences, University of Guelph, Guelph, Ontario, N1G 2W1, Canada
| | - A. Harlander-Matauschek
- Campbell Centre for the Study of Animal Welfare, Department of Animal Biosciences, University of Guelph, Guelph, Ontario, N1G 2W1, Canada
| | - C.F. Baes
- Centre for Genetic Improvement of Livestock, Department of Animal Biosciences, University of Guelph, Guelph, Ontario, N1G 2W1, Canada
- Institute of Genetics, Vetsuisse Faculty, University of Bern, Bern, 3001, Switzerland
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34
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Chu TT, Madsen P, Norberg E, Wang L, Marois D, Henshall J, Jensen J. Genetic analysis on body weight at different ages in broiler chicken raised in commercial environment. J Anim Breed Genet 2019; 137:245-259. [PMID: 31621116 DOI: 10.1111/jbg.12448] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/18/2019] [Revised: 08/12/2019] [Accepted: 09/19/2019] [Indexed: 10/25/2022]
Abstract
A multivariate model was developed and used to estimate genetic parameters of body weight (BW) at 1-6 weeks of age of broilers raised in a commercial environment. The development of model was based on the predictive ability of breeding values evaluated from a cross-validation procedure that relied on half-sib correlation. The multivariate model accounted for heterogeneous variances between sexes through standardization applied to male and female BWs differently. It was found that the direct additive genetic, permanent environmental maternal and residual variances for BW increased drastically as broilers aged. The drastic increase in variances over weeks of age was mainly due to scaling effects. The ratio of the permanent environmental maternal variance to phenotypic variance decreased gradually with increasing age. Heritability of BW traits ranged from 0.28 to 0.33 at different weeks of age. The direct genetic effects on consecutive weekly BWs had high genetic correlations (0.85-0.99), but the genetic correlations between early and late BWs were low (0.32-0.57). The difference in variance components between sexes increased with increasing age. In conclusion, the permanent environmental maternal effect on broiler chicken BW decreased with increasing age from weeks 1 to 6. Potential bias of the model that considered identical variances for sexes could be reduced when heterogeneous variances between sexes are accounted for in the model.
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Affiliation(s)
- Thinh Tuan Chu
- Center for Quantitative Genetics and Genomics, Department of Molecular Biology and Genetics, Aarhus University, Tjele, Denmark.,Animal Breeding and Genomics, Wageningen University & Research, Wageningen, The Netherlands.,Faculty of Animal Science, Vietnam National University of Agriculture, Hanoi, Vietnam
| | - Per Madsen
- Center for Quantitative Genetics and Genomics, Department of Molecular Biology and Genetics, Aarhus University, Tjele, Denmark
| | - Elise Norberg
- Center for Quantitative Genetics and Genomics, Department of Molecular Biology and Genetics, Aarhus University, Tjele, Denmark.,Department of Animal and Aquacultural Sciences, Norwegian University of Life Sciences, Ås, Norway
| | - Lei Wang
- Center for Quantitative Genetics and Genomics, Department of Molecular Biology and Genetics, Aarhus University, Tjele, Denmark
| | - Danye Marois
- Cobb-Vantress Inc., Siloam Springs, Arkansas, USA
| | | | - Just Jensen
- Center for Quantitative Genetics and Genomics, Department of Molecular Biology and Genetics, Aarhus University, Tjele, Denmark
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35
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Liu Z, Yang N, Yan Y, Li G, Liu A, Wu G, Sun C. Genome-wide association analysis of egg production performance in chickens across the whole laying period. BMC Genet 2019; 20:67. [PMID: 31412760 PMCID: PMC6693279 DOI: 10.1186/s12863-019-0771-7] [Citation(s) in RCA: 28] [Impact Index Per Article: 5.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/06/2019] [Accepted: 08/08/2019] [Indexed: 12/22/2022] Open
Abstract
BACKGROUND Egg production is the most economically-important trait in layers as it directly influences benefits of the poultry industry. To better understand the genetic architecture of egg production, we measured traits including age at first egg (AFE), weekly egg number (EN) from onset of laying eggs to 80 weeks which was divided into five stage (EN1: from onset of laying eggs to 23 weeks, EN2: from 23 to 37 weeks, EN3: from 37 to 50 weeks, EN4: from 50 to 61 weeks, EN5: from 61 to 80 weeks) based on egg production curve and total egg number across the whole laying period (Total-EN). Then we performed genome-wide association studies (GWAS) in 1078 Rhode Island Red hens using a linear mixed model. RESULTS Estimates of pedigree and SNP-based genetic parameter showed that AFE and EN1 exhibited high heritability (0.51 ± 0.09, 0.53 ± 0.08), while the h2 for EN in other stages varied from low (0.07 ± 0.04) to moderate (0.24 ± 0.07) magnitude. Subsequently, seven univariate GWAS for AFE and ENs were carried out independently, from which a total of 161 candidate SNPs located on GGA1, GGA2, GGA5, GGA6, GGA9 and GGA24 were identified. Thirteen SNP located on GGA6 were associated with AFE and an interesting gene PRLHR that may affect AFE through regulating oxytocin secretion in chickens. Sixteen genome-wide significant SNPs associated with EN3 were in a strong linkage disequilibrium (LD) region spanning from 117.87 Mb to 118.36 Mb on GGA1 and the most significant SNP (rs315777735) accounted for 3.57% of phenotypic variance. Genes POLA1, PDK3, PRDX4 and APOO identified by annotating sixteen genome-wide significant SNPs can be considered as candidates associated with EN3. Unfortunately, our study did not find any candidate gene for the total egg number. CONCLUSIONS Findings in our study could provide promising genes and SNP markers to improve egg production performance based on marker-assisted breeding selection, while further functional validation is still needed in other populations.
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Affiliation(s)
- Zhuang Liu
- National Engineering Laboratory for Animal Breeding and MOA Key Laboratory of Animal Genetics and Breeding, College of Animal Science and Technology, China Agricultural University, Beijing, 100193, China
| | - Ning Yang
- National Engineering Laboratory for Animal Breeding and MOA Key Laboratory of Animal Genetics and Breeding, College of Animal Science and Technology, China Agricultural University, Beijing, 100193, China
| | - Yiyuan Yan
- National Engineering Laboratory for Animal Breeding and MOA Key Laboratory of Animal Genetics and Breeding, College of Animal Science and Technology, China Agricultural University, Beijing, 100193, China.,Beijing Engineering Research Centre of Layer, Beijing, 101206, China
| | - Guangqi Li
- Beijing Engineering Research Centre of Layer, Beijing, 101206, China
| | - Aiqiao Liu
- Beijing Engineering Research Centre of Layer, Beijing, 101206, China
| | - Guiqin Wu
- Beijing Engineering Research Centre of Layer, Beijing, 101206, China.
| | - Congjiao Sun
- National Engineering Laboratory for Animal Breeding and MOA Key Laboratory of Animal Genetics and Breeding, College of Animal Science and Technology, China Agricultural University, Beijing, 100193, China.
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Rowland K, Ashwell CM, Persia ME, Rothschild MF, Schmidt C, Lamont SJ. Genetic analysis of production, physiological, and egg quality traits in heat-challenged commercial white egg-laying hens using 600k SNP array data. Genet Sel Evol 2019; 51:31. [PMID: 31238874 PMCID: PMC6593552 DOI: 10.1186/s12711-019-0474-6] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/06/2018] [Accepted: 06/13/2019] [Indexed: 12/02/2022] Open
Abstract
Background Heat stress negatively affects the welfare and production of chickens. High ambient temperature is considered one of the most ubiquitous abiotic environmental challenges to laying hens around the world. In this study, we recorded several production traits, feed intake, body weight, digestibility, and egg quality of 400 commercial white egg-laying hens before and during a 4-week heat treatment. For the phenotypes that had estimated heritabilities (using 600k SNP chip data) higher than 0, SNP associations were tested using the same 600k genotype data. Results Seventeen phenotypes had heritability estimates higher than 0, including measurements at various time points for feed intake, feed efficiency, body weight, albumen weight, egg quality expressed in Haugh units, egg mass, and also for change in egg mass from prior to heat exposure to various time points during the 4-week heat treatment. Quantitative trait loci (QTL) were identified for 10 of these 17 phenotypes. Some of the phenotypes shared QTL including Haugh units before heat exposure and after 4 weeks of heat treatment. Conclusions Estimated heritabilities differed from 0 for 17 traits, which indicates that they are under genetic control and that there is potential for improving these traits through selective breeding. The association of different QTL with the same phenotypes before heat exposure and during heat treatment indicates that genomic control of traits under heat stress is distinct from that under thermoneutral conditions. This study contributes to the knowledge on the genomic control of response to heat stress in laying hens. Electronic supplementary material The online version of this article (10.1186/s12711-019-0474-6) contains supplementary material, which is available to authorized users.
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Affiliation(s)
- Kaylee Rowland
- Department of Animal Science, Iowa State University, Ames, USA
| | - Chris M Ashwell
- Prestage Department of Poultry Science, North Carolina State University, Raleigh, USA
| | - Michael E Persia
- Department of Animal and Poultry Sciences, Virginia Tech, Blacksburg, USA
| | | | - Carl Schmidt
- University of Delaware, Animal and Food Sciences, Newark, USA
| | - Susan J Lamont
- Department of Animal Science, Iowa State University, Ames, USA.
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Yousefi Zonuz A, Alijani S, Rafat SA. Genetic heterogeneity of residual variance of hatch weight in Mazandaran native chicken. Br Poult Sci 2019; 60:366-372. [DOI: 10.1080/00071668.2019.1614527] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/26/2022]
Affiliation(s)
- A. Yousefi Zonuz
- Department of animal Science, Faculty of Agriculture, University of Tabriz, Tabriz, Iran
| | - S. Alijani
- Department of animal Science, Faculty of Agriculture, University of Tabriz, Tabriz, Iran
| | - S. A. Rafat
- Department of animal Science, Faculty of Agriculture, University of Tabriz, Tabriz, Iran
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HAUNSHI SANTOSH, RAJKUMAR U, PADHI MK. Improvement of PD-4 (Aseel), an indigenous chicken, for growth and production traits. THE INDIAN JOURNAL OF ANIMAL SCIENCES 2019. [DOI: 10.56093/ijans.v89i4.89143] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/28/2022]
Abstract
Backyard poultry production plays a vital role in providing animal protein at affordable and sustainable manner. Growth and production potential of indigenous chicken need to be improved through selective breeding to enhance the productivity of backyard farming. PD-4 birds (Aseel, indigenous breed) were subjected to selection for higher body weight over eight generations. Study investigated effect of selection on the performance of PD-4 birds with respect to economic traits. There was significant improvement in body weight and shank length at 8 weeks of age. Egg production up to 40 weeks had improved by 19.1 eggs. Egg weight at 28, 32, 36 and 40 weeks of age improved by 0.8, 1.3, 1.7 and 1.3 g respectively. Age at sexual maturity had declined by 14.2 days. There was no significant change in fertility and hatchability traits. Survivors’ egg production up to 72 weeks of age was 156.5±2.79 eggs while hen day and hen housed egg production were 144.9 and 137.5 eggs respectively. Egg weight consistently improved from 35.13 g at age at first egg to 48.07 g at 40 weeks and to 49.63 g at 72 weeks of age. The study demonstrated that indigenous chickens could be improved for body weight and egg production without affecting other economic traits and improved PD-4 variety has the potential to be used as improved dual purpose indigenous chicken variety for low input backyard poultry farming.
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Kudinov AA, Dementieva NV, Mitrofanova OV, Stanishevskaya OI, Fedorova ES, Larkina TA, Mishina AI, Plemyashov KV, Griffin DK, Romanov MN. Genome-wide association studies targeting the yield of extraembryonic fluid and production traits in Russian White chickens. BMC Genomics 2019; 20:270. [PMID: 30947682 PMCID: PMC6449956 DOI: 10.1186/s12864-019-5605-5] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/21/2018] [Accepted: 03/13/2019] [Indexed: 01/09/2023] Open
Abstract
Background The Russian White is a gene pool breed, registered in 1953 after crossing White Leghorns with local populations and, for 50 years, selected for cold tolerance and high egg production (EL). The breed has great potential in meeting demands of local food producers, commercial farmers and biotechnology sector of specific pathogen-free (SPF) eggs, the former valuing the breed for its egg weight (EW), EL, age at first egg (AFE), body weight (BW), and the latter for its yield of extraembryonic fluid (YEF) in 12.5-day embryos, ratio of extraembryonic fluid to egg weight, and embryo mass. Moreover, its cold tolerance has been presumably associated with day-old chick down colour (DOCDC) – white rather than yellow, the genetic basis of these traits being however poorly understood. Results We undertook genome-wide association studies (GWASs) for eight performance traits using single nucleotide polymorphism (SNP) genotyping of 146 birds and an Illumina 60KBeadChip. Several suggestive associations (p < 5.16*10− 5) were found for YEF, AFE, BW and EW. Moreover, on chromosome 2, an association with the white DOCDC was found where there is an linkage disequilibrium block of SNPs including genes that are responsible not for colour, but for immune resistance. Conclusions The obtained GWAS data can be used to explore the genetics of immunity and carry out selection for increasing YEF for SPF eggs production. Electronic supplementary material The online version of this article (10.1186/s12864-019-5605-5) contains supplementary material, which is available to authorized users.
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Affiliation(s)
- Andrei A Kudinov
- Russian Research Institute of Farm Animal Genetics and Breeding Branch of the L. K. Ernst Federal Science Centre for Animal Husbandry, Pushkin, St Petersburg, 196601, Russia.,University of Helsinki, FI-00014, Helsinki, Finland
| | - Natalia V Dementieva
- Russian Research Institute of Farm Animal Genetics and Breeding Branch of the L. K. Ernst Federal Science Centre for Animal Husbandry, Pushkin, St Petersburg, 196601, Russia
| | - Olga V Mitrofanova
- Russian Research Institute of Farm Animal Genetics and Breeding Branch of the L. K. Ernst Federal Science Centre for Animal Husbandry, Pushkin, St Petersburg, 196601, Russia
| | - Olga I Stanishevskaya
- Russian Research Institute of Farm Animal Genetics and Breeding Branch of the L. K. Ernst Federal Science Centre for Animal Husbandry, Pushkin, St Petersburg, 196601, Russia
| | - Elena S Fedorova
- Russian Research Institute of Farm Animal Genetics and Breeding Branch of the L. K. Ernst Federal Science Centre for Animal Husbandry, Pushkin, St Petersburg, 196601, Russia
| | - Tatiana A Larkina
- Russian Research Institute of Farm Animal Genetics and Breeding Branch of the L. K. Ernst Federal Science Centre for Animal Husbandry, Pushkin, St Petersburg, 196601, Russia
| | - Arina I Mishina
- Russian Research Institute of Farm Animal Genetics and Breeding Branch of the L. K. Ernst Federal Science Centre for Animal Husbandry, Pushkin, St Petersburg, 196601, Russia
| | - Kirill V Plemyashov
- Russian Research Institute of Farm Animal Genetics and Breeding Branch of the L. K. Ernst Federal Science Centre for Animal Husbandry, Pushkin, St Petersburg, 196601, Russia
| | - Darren K Griffin
- School of Biosciences, University of Kent, Canterbury, Kent, CT2 7NJ, UK.
| | - Michael N Romanov
- Russian Research Institute of Farm Animal Genetics and Breeding Branch of the L. K. Ernst Federal Science Centre for Animal Husbandry, Pushkin, St Petersburg, 196601, Russia.,School of Biosciences, University of Kent, Canterbury, Kent, CT2 7NJ, UK
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Freitas LAD, Savegnago RP, Grupioni NV, Ramos SB, Stafuzza NB, Figueiredo EAPD, Schmidt GS, Ledur MC, Munari DP. Reduced-rank estimation of genetic parameters for egg production traits and cluster analyses with predicted breeding values. ACTA AGR SCAND A-AN 2019. [DOI: 10.1080/09064702.2019.1580308] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/27/2022]
Affiliation(s)
- Luara Afonso de Freitas
- Departamento de Ciências Exatas, Faculdade de Ciências Agrárias e Veterinárias, Universidade Estadual Paulista ‘Júlio de Mesquita Filho’, Jaboticabal, Brazil
- Departamento de Genética, Faculdade de Medicina de Ribeirão Preto, Universidade de São Paulo, Ribeirão Preto, Brazil
| | - Rodrigo Pelicioni Savegnago
- Departamento de Ciências Exatas, Faculdade de Ciências Agrárias e Veterinárias, Universidade Estadual Paulista ‘Júlio de Mesquita Filho’, Jaboticabal, Brazil
- Instituto de Zootecnia, Centro de Pesquisa em Bovinos de Corte, Sertãozinho, Brazil
| | - Natalia Vinhal Grupioni
- Departamento de Ciências Exatas, Faculdade de Ciências Agrárias e Veterinárias, Universidade Estadual Paulista ‘Júlio de Mesquita Filho’, Jaboticabal, Brazil
| | | | - Nedenia Bonvino Stafuzza
- Departamento de Ciências Exatas, Faculdade de Ciências Agrárias e Veterinárias, Universidade Estadual Paulista ‘Júlio de Mesquita Filho’, Jaboticabal, Brazil
| | | | | | | | - Danisio Prado Munari
- Departamento de Ciências Exatas, Faculdade de Ciências Agrárias e Veterinárias, Universidade Estadual Paulista ‘Júlio de Mesquita Filho’, Jaboticabal, Brazil
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Wolc A, Jankowski T, Arango J, Settar P, Fulton JE, O'Sullivan NP, Dekkers JCM. Investigating the genetic determination of clutch traits in laying hens. Poult Sci 2019; 98:39-45. [PMID: 30101314 DOI: 10.3382/ps/pey354] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/12/2018] [Accepted: 08/02/2018] [Indexed: 11/20/2022] Open
Abstract
Clutch traits were proposed as a more detailed description of egg-laying patterns than simple total egg production. In this study, egg production of 23,809 Rhode Island Red (RIR) and 22,210 White Leghorn (WL) hens was described in terms of number of clutches, average and maximum clutch size, age at first egg, total saleable egg production, and percentage of egg defects. Genetic parameters were estimated using a six-trait animal model. Of the phenotyped birds, 1433 RIR hens and 1515 WL hens were genotyped with line specific 50K Affymetrix Axiom single nucleotide polymorphism chips to perform genome-wide association analyses. Moderate heritabilities were estimated for clutch traits of 0.20 to 0.42 in the RIR line and 0.29 to 0.41 in the WL line. Average and maximum clutch size was positively genetically correlated with total saleable egg number in both lines. Genome-wide association analysis identified seven regions that were associated with egg production in the RIR line and 12 regions in the WL line. The regions identified were line and trait specific, except for one region on chromosome 6 from 28 to 29 Mb that influenced number of clutches and maximum and average clutch size in WL hens. Regions associated with egg production identified here overlapped with 260 genes, with some strong positional candidates based on gene ontology including WASH1, which is involved in oocyte maturation, NPVF, involved in regulation of follicle-stimulating hormone secretion, and FOXO3, involved in oocyte maturation and ovulation from the ovarian follicle. Confirmation of the role of these genes in regulation of egg production pattern will require further studies.
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Affiliation(s)
- A Wolc
- Department of Animal Science, Iowa State University, Ames, IA 50011-3150, USA.,Hy-Line International, Dallas Center, IA 50063, USA
| | | | - J Arango
- Hy-Line International, Dallas Center, IA 50063, USA
| | - P Settar
- Hy-Line International, Dallas Center, IA 50063, USA
| | - J E Fulton
- Hy-Line International, Dallas Center, IA 50063, USA
| | | | - J C M Dekkers
- Department of Animal Science, Iowa State University, Ames, IA 50011-3150, USA
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Tongsiri S, Jeyaruban GM, Hermesch S, van der Werf JHJ, Li L, Chormai T. Genetic parameters and inbreeding effects for production traits of Thai native chickens. ASIAN-AUSTRALASIAN JOURNAL OF ANIMAL SCIENCES 2019; 32:930-938. [PMID: 30744369 PMCID: PMC6601067 DOI: 10.5713/ajas.18.0690] [Citation(s) in RCA: 26] [Impact Index Per Article: 5.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 09/12/2018] [Accepted: 11/29/2018] [Indexed: 11/27/2022]
Abstract
Objective Estimate genetic parameters, the rate of inbreeding, and the effect of inbreeding on growth and egg production traits of a Thai native chicken breed Lueng Hang Kao Kabinburi housed under intensive management under a tropical climate. Methods Genetic parameters were estimated for weight measured at four weekly intervals from body weight at day 1 (BW1D) to body weight at 24 weeks (BW24) of age, as well as weight at first egg, age at first egg (AFE), egg weight at first egg, and total number of eggs (EN) produced during the first 17 weeks of lay using restricted maximum likelihood. Inbreeding depression was estimated using a linear regression of individual phenotype on inbreeding coefficient. Results Direct additive genetic effect was significant for all traits. Maternal genetic effect and permanent environmental hen effects were significant for all early growth traits, expect for BW24. For BW24, maternal genetic effect was also significant. Permanent environmental hen effect was significant for AFE. Direct heritabilities ranged from 0.10 to 0.47 for growth traits and ranged from 0.15 to 0.16 for egg production traits. Early growth traits had high genetic correlations between them. The EN was lowly negatively correlated with other traits. The average rate of inbreeding for the population was 0.09% per year. Overall, the inbreeding had no effect on body weight traits, except for BW1D. An increase in inbreeding coefficient by 1% reduced BWID by 0.09 g (0.29% of the mean). Conclusion Improvement in body weight gain can be achieved by selecting for early growth traits. Selection for higher body weight traits is expected to increase the weight of first egg. Due to low but unfavorable correlations with body weight traits, selection on EN needs to be combined with other traits via multi-trait index selection to improve body weight and EN simultaneously.
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Affiliation(s)
- Siriporn Tongsiri
- Animal Genetics and Breeding Unit, University of New England, Armidale, NSW 2351, Australia.,Kabinburi Livestock Research and Breeding Center, Bureau of Animal Husbandry and Genetic Improvement, Department of Livestock Development, Prachin Buri 25110, Thailand
| | - Gilbert M Jeyaruban
- Animal Genetics and Breeding Unit, University of New England, Armidale, NSW 2351, Australia
| | - Susanne Hermesch
- Animal Genetics and Breeding Unit, University of New England, Armidale, NSW 2351, Australia
| | - Julius H J van der Werf
- School of Environmental and Rural Science, University of New England, Armidale, NSW 2351, Australia
| | - Li Li
- Animal Genetics and Breeding Unit, University of New England, Armidale, NSW 2351, Australia
| | - Theerachai Chormai
- Kabinburi Livestock Research and Breeding Center, Bureau of Animal Husbandry and Genetic Improvement, Department of Livestock Development, Prachin Buri 25110, Thailand
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Chu TT, Bastiaansen JW, Norberg E, Berg P. On farm observations to increase genetic gain in breeding schemes for village poultry production – A simulation study. ACTA AGR SCAND A-AN 2018. [DOI: 10.1080/09064702.2018.1543444] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/27/2022]
Affiliation(s)
- Thinh Tuan Chu
- Center for Quantitative Genetics and Genomics, Department of Molecular Biology and Genetics, Aarhus University Tjele, Denmark
- Wageningen University & Research, Animal Breeding and Genomics, Wageningen, The Netherlands
| | - John W.M. Bastiaansen
- Wageningen University & Research, Animal Breeding and Genomics, Wageningen, The Netherlands
| | - Elise Norberg
- Center for Quantitative Genetics and Genomics, Department of Molecular Biology and Genetics, Aarhus University Tjele, Denmark
- Department of Animal and Aquacultural Sciences, Norwegian University of Life Sciences, Ås, Norway
| | - Peer Berg
- Center for Quantitative Genetics and Genomics, Department of Molecular Biology and Genetics, Aarhus University Tjele, Denmark
- Department of Animal and Aquacultural Sciences, Norwegian University of Life Sciences, Ås, Norway
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Feng P, Zhao W, Xie Q, Zeng T, Lu L, Yang L. Polymorphisms of melatonin receptor genes and their associations with egg production traits in Shaoxing duck. ASIAN-AUSTRALASIAN JOURNAL OF ANIMAL SCIENCES 2018; 31:1535-1541. [PMID: 29642678 PMCID: PMC6127595 DOI: 10.5713/ajas.17.0828] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 11/10/2017] [Revised: 01/23/2018] [Accepted: 03/14/2018] [Indexed: 12/21/2022]
Abstract
OBJECTIVE In birds, three types of melatonin receptors (MTNR1A, MTNR1B, and MTNR1C) have been cloned. Previous researches have showed that three melatonin receptors played an essential role in reproduction and ovarian physiology. However, the association of polymorphisms of the three receptors with duck reproduction traits and egg quality traits is still unknown. In this test, we chose MTNR1A, MTNR1B, and MTNR1C as candidate genes to detect novel sequence polymorphism and analyze their association with egg production traits in Shaoxing duck, and detected their mRNA expression level in ovaries. METHODS In this study, a total of 785 duck blood samples were collected to investigate the association of melatonin receptor genes with egg production traits and egg quality traits using a direct sequencing method. And 6 ducks representing two groups (3 of each) according to the age at first eggs (at 128 days of age or after 150 days of age) were carefully selected for quantitative real-time polymerase chain reaction. RESULTS Seven novel polymorphisms (MTNR1A: g. 268C>T, MTNR1B: g. 41C>T, and g. 161T>C, MTNR1C: g. 10C>T, g. 24A>G, g. 108C>T, g. 363 T>C) were detected. The single nucleotide polymorphism (SNP) of MTNR1A (g. 268C>T) was significantly linked with the age at first egg (p<0.05). And a statistically significant association (p<0.05) was found between MTNR1C g.108 C>T and egg production traits: total egg numbers at 34 weeks old of age and age at first egg. In addition, the mRNA expression level of MTNR1A in ovary was significantly higher in late-mature group than in early-mature group, while MTNR1C showed a contrary tendency (p<0.05). CONCLUSION These results suggest that identified SNPs in MTNR1A and MTNR1C may influence the age at first egg and could be considered as the candidate molecular marker for identify early maturely traits in duck selection and improvement.
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Affiliation(s)
- Peishi Feng
- College of Animal Science, South China Agricultural University, Guangzhou 510642, China
| | - Wanqiu Zhao
- Institute of Animal Husbandry and Veterinary Medicine, Zhejiang Academy of Agricultural Sciences, Hangzhou 310021, China
- College of Animal Science, Zhejiang University, Hangzhou 310058, China
| | - Qiang Xie
- College of Animal Science, South China Agricultural University, Guangzhou 510642, China
| | - Tao Zeng
- Institute of Animal Husbandry and Veterinary Medicine, Zhejiang Academy of Agricultural Sciences, Hangzhou 310021, China
| | - Lizhi Lu
- Institute of Animal Husbandry and Veterinary Medicine, Zhejiang Academy of Agricultural Sciences, Hangzhou 310021, China
| | - Lin Yang
- College of Animal Science, South China Agricultural University, Guangzhou 510642, China
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Manjula P, Park HB, Seo D, Choi N, Jin S, Ahn SJ, Heo KN, Kang BS, Lee JH. Estimation of heritability and genetic correlation of body weight gain and growth curve parameters in Korean native chicken. ASIAN-AUSTRALASIAN JOURNAL OF ANIMAL SCIENCES 2017; 31:26-31. [PMID: 28728369 PMCID: PMC5756919 DOI: 10.5713/ajas.17.0179] [Citation(s) in RCA: 21] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Received: 03/08/2017] [Revised: 05/03/2017] [Accepted: 06/07/2017] [Indexed: 11/27/2022]
Abstract
Objective This study estimated the genetic parameters for body weight gain and growth curve parameter traits in Korean native chicken (KNC). Methods A total of 585 F1 chickens were used along with 88 of their F0 birds. Body weights were measured every 2 weeks from hatching to 20 weeks of age to measure weight gain at 2-week intervals. For each individual, a logistic growth curve model was fitted to the longitudinal growth dataset to obtain three growth curve parameters (α, asymptotic final body weight; β, inflection point; and γ, constant scale that was proportional to the overall growth rate). Genetic parameters were estimated based on the linear-mixed model using a restricted maximum likelihood method. Results Heritability estimates of body weight gain traits were low to high (0.057 to 0.458). Heritability estimates for α, β, and γ were 0.211±0.08, 0.249±0.09, and 0.095±0.06, respectively. Both genetic and phenotypic correlations between weight gain traits ranged from −0.527 to 0.993. Genetic and phenotypic correlation between the growth curve parameters and weight gain traits ranged from −0.968 to 0.987. Conclusion Based on the results of this study population, we suggest that the KNC could be used for selective breeding between 6 and 8 weeks of age to enhance the overall genetic improvement of growth traits. After validation of these results in independent studies, these findings will be useful for further optimization of breeding programs for KNC.
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Affiliation(s)
- Prabuddha Manjula
- Division of animal and Dairy Science, Chungnam National University, Daejeon 34134, Korea
| | - Hee-Bok Park
- National Institute of Animal Science, Jeju 63242, Korea
| | - Dongwon Seo
- Division of animal and Dairy Science, Chungnam National University, Daejeon 34134, Korea
| | - Nuri Choi
- Division of animal and Dairy Science, Chungnam National University, Daejeon 34134, Korea
| | - Shil Jin
- Division of animal and Dairy Science, Chungnam National University, Daejeon 34134, Korea
| | - Sung Jin Ahn
- Department of Information Statistics, RINS, Gyeongsang National University, Jinju 52828, Korea
| | - Kang Nyeong Heo
- National Institute of Animal Science, Pyeongchang 25342, Korea
| | - Bo Seok Kang
- National Institute of Animal Science, Pyeongchang 25342, Korea
| | - Jun-Heon Lee
- Division of animal and Dairy Science, Chungnam National University, Daejeon 34134, Korea
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Graczyk M, Andres K, Kapkowska E, Szwaczkowski T. Genetic evaluation of laying performance in the Zatorska goose: contribution to the conservation programme. Br Poult Sci 2017; 58:366-372. [DOI: 10.1080/00071668.2017.1324943] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/19/2022]
Affiliation(s)
- M. Graczyk
- Department of Genetics and Animal Breeding, Poznan University of Life Sciences, Poznan, Poland
| | - K. Andres
- Department of Swine and Small Animal Breeding, Institute of Animal Science, University of Agriculture in Cracow, Cracow, Poland
| | - E. Kapkowska
- Department of Swine and Small Animal Breeding, Institute of Animal Science, University of Agriculture in Cracow, Cracow, Poland
| | - T. Szwaczkowski
- Department of Genetics and Animal Breeding, Poznan University of Life Sciences, Poznan, Poland
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47
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Jasouri M, Zamani P, Alijani S. Dominance genetic and maternal effects for genetic evaluation of egg production traits in dual-purpose chickens. Br Poult Sci 2017; 58:498-505. [PMID: 28556686 DOI: 10.1080/00071668.2017.1336748] [Citation(s) in RCA: 17] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/19/2022]
Abstract
1. A study was conducted to study direct dominance genetic and maternal effects on genetic evaluation of production traits in dual-purpose chickens. The data set consisted of records of body weight and egg production of 49 749 Mazandaran fowls from 19 consecutive generations. Based on combinations of different random effects, including direct additive and dominance genetic and maternal additive genetic and environmental effects, 8 different models were compared. 2. Inclusion of a maternal genetic effect in the models noticeably improved goodness of fit for all traits. Direct dominance genetic effect did not have noticeable effects on goodness of fit but simultaneous inclusion of both direct dominance and maternal additive genetic effects improved fitting criteria and accuracies of genetic parameter estimates for hatching body weight and egg production traits. 3. Estimates of heritability (h2) for body weights at hatch, 8 weeks and 12 weeks of age (BW0, BW8 and BW12, respectively), age at sexual maturity (ASM), average egg weights at 28-32 weeks of laying period (AEW), egg number (EN) and egg production intensity (EI) were 0.08, 0.21, 0.22, 0.22, 0.21, 0.09 and 0.10, respectively. For BW0, BW8, BW12, ASM, AEW, EN and EI, proportion of dominance genetic to total phenotypic variance (d2) were 0.06, 0.08, 0.01, 0.06, 0.06, 0.08 and 0.07 and maternal heritability estimates (m2) were 0.05, 0.04, 0.03, 0.13, 0.21, 0.07 and 0.03, respectively. Negligible coefficients of maternal environmental effect (c2) from 0.01 to 0.08 were estimated for all traits, other than BW0, which had an estimate of 0.30. 4. Breeding values (BVs) estimated for body weights at early ages (BW0 and BW8) were considerably affected by components of the models, but almost similar BVs were estimated by different models for higher age body weight (BW12) and egg production traits (ASM, AEW, EN and EI). Generally, it could be concluded that inclusion of maternal effects (both genetic and environmental) and, to a lesser extent, direct dominance genetic effect would improve the accuracy of genetic evaluation for early age body weights in dual-purpose chickens.
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Affiliation(s)
- M Jasouri
- a Department of Animal Science, Faculty of Agriculture , Bu-Ali Sina University , Hamedan , Iran
| | - P Zamani
- a Department of Animal Science, Faculty of Agriculture , Bu-Ali Sina University , Hamedan , Iran
| | - S Alijani
- b Department of Animal Science, Faculty of Agriculture , University of Tabriz , Tabriz , Iran
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A short insertion mutation disrupts genesis of miR-16 and causes increased body weight in domesticated chicken. Sci Rep 2016; 6:36433. [PMID: 27808177 PMCID: PMC5093740 DOI: 10.1038/srep36433] [Citation(s) in RCA: 26] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/27/2016] [Accepted: 10/17/2016] [Indexed: 11/26/2022] Open
Abstract
Body weight is one of the most important quantitative traits with high heritability in chicken. We previously mapped a quantitative trait locus (QTL) for body weight by genome-wide association study (GWAS) in an F2 chicken resource population. To identify the causal mutations linked to this QTL, expression profiles were determined on livers of high-weight and low-weight chicken lines by microarray. Combining the expression pattern with SNP effects by GWAS, miR-16 was identified as the most likely potential candidate with a 3.8-fold decrease in high-weight lines. Re-sequencing revealed that a 54-bp insertion mutation in the upstream region of miR-15a-16 displayed high allele frequencies in high-weight commercial broiler line. This mutation resulted in lower miR-16 expression by introducing three novel splicing sites instead of the missing 5′ terminal splicing of mature miR-16. Elevating miR-16 significantly inhibited DF-1 chicken embryo cell proliferation, consistent with a role in suppression of cellular growth. The 54-bp insertion was significantly associated with increased body weight, bone size and muscle mass. Also, the insertion mutation tended towards fixation in commercial broilers (Fst > 0.4). Our findings revealed a novel causative mutation for body weight regulation that aids our basic understanding of growth regulation in birds.
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Zamani P, Jasouri M, Moradi M. Comparison of different models for genetic evaluation of egg weight in Mazandaran fowl. Br Poult Sci 2016; 56:631-8. [DOI: 10.1080/00071668.2015.1113504] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/22/2022]
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Tongsiri S, Jeyaruban M, Van Der Werf J. Genetic parameters for egg production traits in purebred and hybrid chicken in a tropical environment. Br Poult Sci 2015; 56:613-20. [DOI: 10.1080/00071668.2015.1099614] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/23/2022]
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