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Yang H, Yang L, Qian J, Xu L, Lin L, Su G. Information of Growth Traits Is Helpful for Genetic Evaluation of Litter Size in Pigs. Animals (Basel) 2024; 14:2669. [PMID: 39335257 PMCID: PMC11428315 DOI: 10.3390/ani14182669] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/20/2024] [Revised: 09/06/2024] [Accepted: 09/11/2024] [Indexed: 09/30/2024] Open
Abstract
Litter size is an important trait in pig production. But selection accuracy for this trait is relatively low, compared with production traits. This study, for the first time, investigated the improvement of genetic evaluation of reproduction traits such as litter size in pigs using data of production traits as an additional information source. The data of number of piglets born alive per litter (NBA), age at 100 kg of body weight (Age100), and lean meet percentage (LMP) in a Yorkshire population were analyzed, using either a single-trait model or the multitrait model that allows us to account for environmental correlation between reproduction and production traits in the situation that one individual has only one record for a production trait while multiple records for a reproduction trait. Accuracy of genetic evaluation using single-trait and multitrait models were assessed by model-based accuracy (Rm) and validation accuracy (Rv). Two validation scenarios were considered. One scenario (Valid_r1) was that the individuals did not have a record of NBA, but Age100 and LMP. The other (Valid_r2) was that the individuals did not have a record for all the three traits. The estimate of heritability was 0.279 for Age100, 0.371 for LMP, and 0.076 for NBA. Genetic correlation was 0.308 between Age100 and LMP, 0.369 between Age100 and NBA, and 0.022 between LMP and NBA. Compared with the single-trait model, the multitrait model including Age100 increased prediction accuracy for NBA by 3.6 percentage points in Rm and 5.9 percentage points in Rv for the scenario of Valid_r1. The increase was 1.8 percentage points in Rm and 3.8 percentage points in Rv for the scenario of Valid_r2. Age100 also gained in the multitrait model but was smaller than NBA. However, LMP did not benefit from a multitrait model and did not have a positive contribution to genetic evaluation for NBA. In addition, the multitrait model, in general, slightly reduced level bias but not dispersion bias of genetic evaluation. According to these results, it is recommended to predict breeding values using a multitrait model including growth and reproduction traits.
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Affiliation(s)
- Hui Yang
- Department of Animal Science, Fujian Vocational College of Agriculture, Fuzhou 350007, China
| | - Lei Yang
- Suzhou Aspire Agritech Consulting Co., Ltd., Suzhou 215000, China
| | - Jinhua Qian
- College of Animal Science and Technology, Yangzhou University, Yangzhou 225009, China
| | - Lei Xu
- Department of Animal Science, Fujian Vocational College of Agriculture, Fuzhou 350007, China
| | - Li Lin
- Department of Animal Science, Fujian Vocational College of Agriculture, Fuzhou 350007, China
| | - Guosheng Su
- Center for Quantitative Genetics, Aarhus University, 8000 Aarhus, Denmark
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Ogawa S, Takahashi H, Satoh M. Genetic parameter estimation for pork production and litter performance traits of Landrace, Large White, and Duroc pigs in Japan. J Anim Breed Genet 2023; 140:607-623. [PMID: 37340733 DOI: 10.1111/jbg.12814] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/19/2022] [Revised: 05/14/2023] [Accepted: 06/09/2023] [Indexed: 06/22/2023]
Abstract
We estimated genetic parameters for two pork production and six litter performance traits of Landrace, Large White, and Duroc pigs reared in Japan. Pork production traits were average daily gain from birth to end of performance testing and backfat thickness at end of testing (46,042 records for Landrace, 40,467 records for Large White, and 42,920 records for Duroc). Litter performance traits were number born alive, litter size at weaning (LSW), number of piglets dead during suckling (ND), survival rate of piglets during suckling (SV), total piglet weight at weaning (TWW), and average piglet weight at weaning (AWW) (27,410, 26,716, and 12,430 records for Landrace, Large White, and Duroc, respectively). ND was calculated as the difference between LSW and litter size at start of suckling (LSS). SV was calculated as LSW/LSS. AWW was calculated as TWW/LSW. Pedigree data for Landrace, Large White, and Duroc breeds contained 50,193, 44,077, and 45,336 pigs, respectively. Trait heritability was estimated via single-trait analysis and genetic correlation between two traits was estimated via two-trait analysis. When considering the linear covariate of LSS in the statistical model for LSW and TWW, for all breeds, the heritability was estimated to be 0.4-0.5 for pork production traits and below 0.2 for litter performance traits. Estimated genetic correlation between average daily gain and backfat thickness was small, ranging from 0.057 to 0.112, and those between pork production traits and litter performance traits were negligible to moderate, ranging from -0.493 to 0.487. A wide range of genetic correlation values among the litter performance traits was estimated, while that between LSW and ND could not be obtained. The results of genetic parameter estimation were affected by whether the linear covariate of LSS was included in the statistical model for LSW and TWW or not. This finding implies the necessity of carefully interpreting the results according to the choice of statistical model. Our results could give fundamental information on simultaneously improving productivity and female reproductivity for pigs.
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Affiliation(s)
- Shinichiro Ogawa
- Institute of Livestock and Grassland Science, NARO, Tsukuba, Ibaraki, Japan
| | | | - Masahiro Satoh
- Graduate School of Agricultural Science, Tohoku University, Sendai, Miyagi, Japan
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3
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Yang Y, Gan M, Yang X, Zhu P, Luo Y, Liu B, Zhu K, Cheng W, Chen L, Zhao Y, Niu L, Wang Y, Zhang H, Wang J, Shen L, Zhu L. Estimation of genetic parameters of pig reproductive traits. Front Vet Sci 2023; 10:1172287. [PMID: 37415962 PMCID: PMC10321596 DOI: 10.3389/fvets.2023.1172287] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/23/2023] [Accepted: 06/01/2023] [Indexed: 07/08/2023] Open
Abstract
Introduction In this study, we aimed to estimate the genetic parameters of the reproductive traits in three popular commercial pig breeds: Duroc, Landrace, and Yorkshire. Additionally, we evaluated the factors that influence these traits. Method We collected data from a large number of litters, including 1,887 Duroc, 21,787 Landrace, and 74,796 Yorkshire litters. Using the ASReml-R software to analyze 11 traits, which included: total number of pigs born (TNB); number of piglets born alive (NBA); number of piglets born healthy (NBH); number of piglets born weak (NBW); number of new stillborn piglets (NS); number of old stillborn piglets (OS); number of piglets born with malformation (NBM); number of mummified piglets (NM); total litter birthweight (LBW); litter average weight (LAW); duration of gestational period (GP). We investigated the effects of 4 fixed factors on the genetic parameters of these traits. Results Among the 11 reproductive-related traits, the gestational period belonged to the medium heritability traits (0.251-0.430), while remaining traits showed low heritability, ranging from 0.005 to 0.159. TNB, NBA, NBH, LBW had positive genetic correlation (0.737 ~ 0.981) and phenotype correlation (0.711 ~ 0.951). There was a negative genetic correlation between NBW and LAW (-0.452 ~ -0.978) and phenotypic correlation (-0.380 ~ -0.873). LBW was considered one of the most reasonable reproductive traits that could be used for breeding improvement. Repeatability of the three varieties was within the range of 0.000-0.097. In addition, the fixed effect selected in this study had a significant effect on Landrace and Yorkshire (p < 0.05). Discussion We found a positive correlation between LBW and TNB, NBA, and NBH, suggesting the potential for multi-trait association breeding. Factors such as farm, farrowing year, breeding season, and parity should be taken into consideration in practical production, as they may impact the reproductive performance of breeding pigs.
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Affiliation(s)
- Yiting Yang
- Farm Animal Genetic Resources Exploration and Innovation Key Laboratory of Sichuan Province, Sichuan Agricultural University, Chengdu, China
- Key Laboratory of Livestock and Poultry Multi-Omics, Ministry of Agriculture and Rural Affairs, College of Animal and Technology, Sichuan Agricultural University, Chengdu, China
| | - Mailin Gan
- Farm Animal Genetic Resources Exploration and Innovation Key Laboratory of Sichuan Province, Sichuan Agricultural University, Chengdu, China
- Key Laboratory of Livestock and Poultry Multi-Omics, Ministry of Agriculture and Rural Affairs, College of Animal and Technology, Sichuan Agricultural University, Chengdu, China
| | - Xidi Yang
- Farm Animal Genetic Resources Exploration and Innovation Key Laboratory of Sichuan Province, Sichuan Agricultural University, Chengdu, China
- Key Laboratory of Livestock and Poultry Multi-Omics, Ministry of Agriculture and Rural Affairs, College of Animal and Technology, Sichuan Agricultural University, Chengdu, China
| | - Peng Zhu
- Farm Animal Genetic Resources Exploration and Innovation Key Laboratory of Sichuan Province, Sichuan Agricultural University, Chengdu, China
- Key Laboratory of Livestock and Poultry Multi-Omics, Ministry of Agriculture and Rural Affairs, College of Animal and Technology, Sichuan Agricultural University, Chengdu, China
| | - Yi Luo
- Sichuan Dekon Livestock Foodstuff Group, Chengdu, China
| | - Bin Liu
- Sichuan Dekon Livestock Foodstuff Group, Chengdu, China
| | - Kangping Zhu
- Sichuan Dekon Livestock Foodstuff Group, Chengdu, China
| | | | - Lei Chen
- Farm Animal Genetic Resources Exploration and Innovation Key Laboratory of Sichuan Province, Sichuan Agricultural University, Chengdu, China
- Key Laboratory of Livestock and Poultry Multi-Omics, Ministry of Agriculture and Rural Affairs, College of Animal and Technology, Sichuan Agricultural University, Chengdu, China
| | - Ye Zhao
- Farm Animal Genetic Resources Exploration and Innovation Key Laboratory of Sichuan Province, Sichuan Agricultural University, Chengdu, China
- Key Laboratory of Livestock and Poultry Multi-Omics, Ministry of Agriculture and Rural Affairs, College of Animal and Technology, Sichuan Agricultural University, Chengdu, China
| | - Lili Niu
- Farm Animal Genetic Resources Exploration and Innovation Key Laboratory of Sichuan Province, Sichuan Agricultural University, Chengdu, China
- Key Laboratory of Livestock and Poultry Multi-Omics, Ministry of Agriculture and Rural Affairs, College of Animal and Technology, Sichuan Agricultural University, Chengdu, China
| | - Yan Wang
- Farm Animal Genetic Resources Exploration and Innovation Key Laboratory of Sichuan Province, Sichuan Agricultural University, Chengdu, China
- Key Laboratory of Livestock and Poultry Multi-Omics, Ministry of Agriculture and Rural Affairs, College of Animal and Technology, Sichuan Agricultural University, Chengdu, China
| | - Hui Zhang
- Sichuan Center for Animal Disease Control, Chengdu, China
| | - Jingyong Wang
- Chongqing Academy of Animal Science, Chongqing, China
| | - Linyuan Shen
- Farm Animal Genetic Resources Exploration and Innovation Key Laboratory of Sichuan Province, Sichuan Agricultural University, Chengdu, China
- Key Laboratory of Livestock and Poultry Multi-Omics, Ministry of Agriculture and Rural Affairs, College of Animal and Technology, Sichuan Agricultural University, Chengdu, China
| | - Li Zhu
- Farm Animal Genetic Resources Exploration and Innovation Key Laboratory of Sichuan Province, Sichuan Agricultural University, Chengdu, China
- Key Laboratory of Livestock and Poultry Multi-Omics, Ministry of Agriculture and Rural Affairs, College of Animal and Technology, Sichuan Agricultural University, Chengdu, China
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Lan Q, Deng Q, Qi S, Zhang Y, Li Z, Yin S, Li Y, Tan H, Wu M, Yin Y, He J, Liu M. Genome-Wide Association Analysis Identified Variants Associated with Body Measurement and Reproduction Traits in Shaziling Pigs. Genes (Basel) 2023; 14:522. [PMID: 36833449 PMCID: PMC9957351 DOI: 10.3390/genes14020522] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/14/2023] [Revised: 02/09/2023] [Accepted: 02/16/2023] [Indexed: 02/22/2023] Open
Abstract
With the increasing popularity of genomic sequencing, breeders pay more attention to identifying the crucial molecular markers and quantitative trait loci for improving the body size and reproduction traits that could affect the production efficiency of pig-breeding enterprises. Nevertheless, for the Shaziling pig, a well-known indigenous breed in China, the relationship between phenotypes and their corresponding genetic architecture remains largely unknown. Herein, in the Shaziling population, a total of 190 samples were genotyped using the Geneseek Porcine 50K SNP Chip, obtaining 41857 SNPs for further analysis. For phenotypes, two body measurement traits and four reproduction traits in the first parity from the 190 Shaziling sows were measured and recorded, respectively. Subsequently, a genome-wide association study (GWAS) between the SNPs and the six phenotypes was performed. The correlation between body size and reproduction phenotypes was not statistically significant. A total of 31 SNPs were found to be associated with body length (BL), chest circumference (CC), number of healthy births (NHB), and number of stillborns (NSB). Gene annotation for those candidate SNPs identified 18 functional genes, such as GLP1R, NFYA, NANOG, COX7A2, BMPR1B, FOXP1, SLC29A1, CNTNAP4, and KIT, which exert important roles in skeletal morphogenesis, chondrogenesis, obesity, and embryonic and fetal development. These findings are helpful to better understand the genetic mechanism for body size and reproduction phenotypes, while the phenotype-associated SNPs could be used as the molecular markers for the pig breeding programs.
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Affiliation(s)
- Qun Lan
- College of Animal Science and Technology, Hunan Agricultural University, Changsha 410128, China
| | - Qiuchun Deng
- College of Animal Science and Technology, Hunan Agricultural University, Changsha 410128, China
| | - Shijin Qi
- College of Animal Science and Technology, Hunan Agricultural University, Changsha 410128, China
| | - Yuebo Zhang
- College of Animal Science and Technology, Hunan Agricultural University, Changsha 410128, China
| | - Zhi Li
- College of Animal Science and Technology, Hunan Agricultural University, Changsha 410128, China
| | - Shishu Yin
- College of Animal Science and Technology, Hunan Agricultural University, Changsha 410128, China
| | - Yulian Li
- Xiang Dong Experiment Station, Hunan Provincial Pig Industrial Technology System, Xiangtan 411100, China
| | - Hong Tan
- Xiang Dong Experiment Station, Hunan Provincial Pig Industrial Technology System, Xiangtan 411100, China
| | - Maisheng Wu
- Xiang Dong Experiment Station, Hunan Provincial Pig Industrial Technology System, Xiangtan 411100, China
| | - Yulong Yin
- College of Animal Science and Technology, Hunan Agricultural University, Changsha 410128, China
- Key Laboratory of Agro-Ecological Processes in Subtropical Region, Institute of Subtropical Agriculture, Chinese Academy of Sciences; Hunan Provincial Engineering Research Center for Healthy Livestock and Poultry Production; Scientific Observing and Experimental Station of Animal Nutrition and Feed Science in South-Central, Ministry of Agriculture, Changsha 410125, China
| | - Jun He
- College of Animal Science and Technology, Hunan Agricultural University, Changsha 410128, China
| | - Mei Liu
- College of Animal Science and Technology, Hunan Agricultural University, Changsha 410128, China
- Kunpeng Institute of Modern Agriculture at Foshan, Foshan 528226, China
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5
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Su P, Luo Y, Huang Y, Akhatayeva Z, Xin D, Guo Z, Pan C, Zhang Q, Xu H, Lan X. Short variation of the sheep PDGFD gene is correlated with litter size. Gene X 2022; 844:146797. [PMID: 35985413 DOI: 10.1016/j.gene.2022.146797] [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: 03/10/2022] [Revised: 08/02/2022] [Accepted: 08/05/2022] [Indexed: 11/24/2022] Open
Abstract
Platelet-derived growth factor (PDGF) family, exert plays a key role in embryonic development, cell proliferation, cell migration, angiogenesis and reproduction. Related studies about GWAS analyses have found that PDGFD significantly affected deposition of tail fat in sheep, but there are no studies on reproduction in animals. In this study, three breed of sheep were used to find insertion/deletion (indel) fragment polymorphism of PDGFD which including Australian white (AUW) sheep (Meat type, n = 932), Guiqian semi-fine wool (GSFW) sheep (wool type, n = 60) and East Friensian milk (EFM) sheep (dairy type, n = 60). Only a 18-bp variation was polymorphic in the study AUW sheep population and the genotypes of different sheep breed are also specific. Moreover, the association analysis indicated that this variant was associated with litter size of AUW sheep in the first parity (p < 0.05). The litter size of II genotype was significantly lower than other genotypes in the first parity (p < 0.05). We also revealed that the PDGFD gene was relatively conservative in eight species, PDGFD mRNA expression in 832 sheep samples implying this gene was related to reproduction traits. Hence, these finding demonstrated the one-cause multipotency of PDGFD gene. Collectively, these results suggest that this indel can be used as an effective marker for sheep breeding.
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Affiliation(s)
- Peng Su
- Key Laboratory of Animal Genetics Breeding and Reproduction of Shanxi Province, College Animal Science and Technology, Northwest A&F University, Yangling, Shanxi 712100, China; Tianjin Aoqun Animal Husbandry Co.Ltd., Tianjin 301607, China.
| | - Yunyun Luo
- Key Laboratory of Animal Genetics Breeding and Reproduction of Shanxi Province, College Animal Science and Technology, Northwest A&F University, Yangling, Shanxi 712100, China.
| | - Yangming Huang
- Key Laboratory of Animal Genetics Breeding and Reproduction of Shanxi Province, College Animal Science and Technology, Northwest A&F University, Yangling, Shanxi 712100, China; Tianjin Aoqun Animal Husbandry Co.Ltd., Tianjin 301607, China.
| | - Zhanerke Akhatayeva
- Key Laboratory of Animal Genetics Breeding and Reproduction of Shanxi Province, College Animal Science and Technology, Northwest A&F University, Yangling, Shanxi 712100, China.
| | - Dongyun Xin
- Key Laboratory of Animal Genetics Breeding and Reproduction of Shanxi Province, College Animal Science and Technology, Northwest A&F University, Yangling, Shanxi 712100, China.
| | - Zhengang Guo
- Key Laboratory of Animal Genetics Breeding and Reproduction of Shanxi Province, College Animal Science and Technology, Northwest A&F University, Yangling, Shanxi 712100, China.
| | - Chuanying Pan
- Key Laboratory of Animal Genetics Breeding and Reproduction of Shanxi Province, College Animal Science and Technology, Northwest A&F University, Yangling, Shanxi 712100, China.
| | - Qingfeng Zhang
- Tianjin Aoqun Sheep Industry Academy Company, Tianjin 300000, China; Tianjin Aoqun Animal Husbandry Co.Ltd., Tianjin 301607, China.
| | - Hongwei Xu
- College of Life Science and Engineering, Northwest Minzu University, Lanzhou 730030, China.
| | - Xianyong Lan
- Key Laboratory of Animal Genetics Breeding and Reproduction of Shanxi Province, College Animal Science and Technology, Northwest A&F University, Yangling, Shanxi 712100, China.
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Zoda A, Kagawa R, Obinata R, Urakawa M, Oono Y, Ogawa S, Uemoto Y, Satoh M. Genetic relationship between superovulatory response traits and carcass traits in Japanese Black cattle. Anim Sci J 2022; 93:e13731. [PMID: 35537852 DOI: 10.1111/asj.13731] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/04/2022] [Revised: 03/30/2022] [Accepted: 04/07/2022] [Indexed: 11/30/2022]
Abstract
We estimated the genetic correlations between superovulatory response traits and carcass traits in Japanese Black cattle. As regards the superovulatory response traits in cows, we analyzed the phenotypic records of the total number of embryos and oocytes (TNE) and the number of good embryos (NGE) collected from 1532 donors between 2008 and 2018. As regards the carcass traits in fattened animals, we analyzed the phenotypic records for cold carcass weight, rib eye area, rib thickness, subcutaneous fat thickness, estimated yield percent, and marbling score for 1448 progenies derived from 596 donors and slaughtered between 2004 and 2020. Variance components were estimated using single-trait and two-trait animal models and the restricted maximum likelihood approach. The estimated genetic correlations with the carcass traits ranged from -0.05 to 0.04 for TNE and from -0.14 to 0.04 for NGE, and their standard errors ranged from 0.10 to 0.14. These results imply that the genetic relationship between the superovulatory response traits in Japanese Black donor cows and the carcass traits in their fattened progenies was weak to negligible. Therefore, we concluded that selecting donors with superior genetic ability for superovulatory responses would not have antagonistic effects on carcass performance in their fattened progenies.
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Affiliation(s)
- Atsushi Zoda
- Research and Development Group, Zen-noh Embryo Transfer Center, Kamishihoro, Hokkaido, Japan.,Graduate School of Agricultural Science, Tohoku University, Sendai, Miyagi, Japan
| | - Rino Kagawa
- Research and Development Group, Zen-noh Embryo Transfer Center, Kamishihoro, Hokkaido, Japan
| | - Rui Obinata
- Research and Development Group, Zen-noh Embryo Transfer Center, Kamishihoro, Hokkaido, Japan
| | - Manami Urakawa
- Research and Development Group, Zen-noh Embryo Transfer Center, Kamishihoro, Hokkaido, Japan
| | - Yoshio Oono
- Research and Development Group, Zen-noh Embryo Transfer Center, Kamishihoro, Hokkaido, Japan
| | - Shinichiro Ogawa
- Graduate School of Agricultural Science, Tohoku University, Sendai, Miyagi, Japan.,Division of Meat Animal and Poultry Research, Institute of Livestock and Grassland Science, NARO, Tsukuba, Ibaraki, Japan
| | - Yoshinobu Uemoto
- Graduate School of Agricultural Science, Tohoku University, Sendai, Miyagi, Japan
| | - Masahiro Satoh
- Graduate School of Agricultural Science, Tohoku University, Sendai, Miyagi, Japan
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7
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Ogawa S, Kimata M, Tomiyama M, Satoh M. Heritability and genetic correlation estimates of semen production traits with litter traits and pork production traits in purebred Duroc pigs. J Anim Sci 2022; 100:6535633. [PMID: 35201314 PMCID: PMC9030147 DOI: 10.1093/jas/skac055] [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: 01/13/2022] [Accepted: 02/23/2022] [Indexed: 11/30/2022] Open
Abstract
We estimated heritabilities of semen production traits and their genetic correlations with litter traits and pork production traits in purebred Duroc pigs. Semen production traits were semen volume, sperm concentration, proportion of morphologically normal sperms, total number of sperm, and total number of morphologically normal sperm. Litter traits at farrowing were total number born, number born alive, number stillborn, total litter weight at birth, mean litter weight at birth, and piglet survival rate at birth. Litter traits at weaning were litter size at weaning, total litter weight at weaning, mean litter weight at weaning, and piglet survival rate from birth to weaning. Pork production traits were average daily gain, backfat thickness, and loin muscle area. We analyzed 45,913 semen collection records of 896 boars, 6,950 farrowing performance records of 1,400 sows, 2,237 weaning performance records of 586 sows, and individual growth performance records of 9,550 animals measured at approximately 5 mo of age. Heritabilities were estimated using a single-trait animal model. Genetic correlations were estimated using a 2-trait animal model. Estimated heritabilities of semen production traits ranged from 0.20 for sperm concentration to 0.29 for semen volume and were equal to or higher than those of litter traits, ranging from 0.06 for number stillborn and piglet survival rate at birth to 0.25 for mean litter weight at birth, but lower than those of pork production traits, ranging from 0.50 for average daily gain to 0.63 for backfat thickness. In many cases, the absolute values of estimated genetic correlations between semen production traits and other traits were smaller than 0.3. These estimated genetic parameters provide useful information for establishing a comprehensive pig breeding scheme. Genetic parameters of 5 semen production traits, 10 litter traits, and 3 pork production traits in purebred Duroc pigs was estimated. Heritabilities of semen production traits ranged from 0.20 for sperm concentration to 0.29 for semen volume and were equal to or higher than those of litter traits, ranging from 0.06 for number stillborn and piglet survival rate at birth to 0.25 for mean litter weight at birth, but lower than those of pork production traits, ranging from 0.50 for average daily gain to 0.63 for backfat thickness. In many cases, the absolute values of genetic correlations between semen production traits and other traits were smaller than 0.3. These estimated genetic parameters provide useful information for establishing a comprehensive pig breeding scheme.
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Affiliation(s)
- S Ogawa
- Graduate School of Agricultural Science, Tohoku University, Sendai, Miyagi 980-8572, Japan
| | - M Kimata
- CIMCO Corporation, Koto-ku, Tokyo 136-0071, Japan
| | - M Tomiyama
- CIMCO Corporation, Koto-ku, Tokyo 136-0071, Japan
| | - M Satoh
- Graduate School of Agricultural Science, Tohoku University, Sendai, Miyagi 980-8572, Japan
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Ogawa S, Ohnishi C, Satoh M. Effect of ambient temperature on average daily gain of pigs evaluated using public weather data and a plateau-linear regression model. Anim Sci J 2022; 93:e13762. [PMID: 35946833 PMCID: PMC10078422 DOI: 10.1111/asj.13762] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/04/2022] [Revised: 06/12/2022] [Accepted: 07/11/2022] [Indexed: 11/28/2022]
Abstract
We performed a plateau-linear regression model analysis of the average daily gain (ADG) of pigs on daily average temperature at the end of performance testing (T). Records for performance testing between 30 kg and 105 kg of 2268 purebred Duroc pigs raised at the National Livestock Breeding Center Miyazaki Station were used. Off-farm ambient temperatures were measured at the nearest Automated Meteorological Data Acquisition System station at Kobayashi, Miyazaki (Kobayashi station). A plateau-linear regression equation was obtained in which ADG decreased by 12.6 g for every 1°C when T > 21.1°C. We calculated the expected age in day at the end of testing (D105) using the regression equation obtained and T observed at the Kobayashi station in 2020. The number of days that D105 was prolonged due to higher T was 125 days, corresponding to approximately one third of the year. These results could contribute to planning and management of stable pork production in response to heat in Japan.
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Affiliation(s)
- Shinichiro Ogawa
- Graduate School of Agricultural Science, Tohoku University, Sendai, Japan
| | - Chika Ohnishi
- National Livestock Breeding Center, Miyazaki Station, Kobayashi, Japan
| | - Masahiro Satoh
- Graduate School of Agricultural Science, Tohoku University, Sendai, Japan
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Hara H, Ogawa S, Ohnishi C, Ishii K, Uemoto Y, Satoh M. An attempt of using public ambient temperature data in swine genetic evaluation for litter-size traits at birth in Japan†. ANIMAL PRODUCTION SCIENCE 2022. [DOI: 10.1071/an21463] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/23/2022]
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10
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Ogawa S, Kimata M, Ishii K, Uemoto Y, Satoh M. Genetic analysis for sow stayability at different parities in purebred Landrace and Large White pigs. Anim Sci J 2021; 92:e13599. [PMID: 34309970 PMCID: PMC9285752 DOI: 10.1111/asj.13599] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/16/2021] [Revised: 06/06/2021] [Accepted: 06/24/2021] [Indexed: 01/19/2023]
Abstract
Genetic parameters for sow stayability were estimated from farrowing records of 10,295 Landrace sows and 8192 Large White sows. The record for sow stayability from parity k to parity k + 1 (k = 1, …, 6) was 0 when a sow had a farrowing record at parity k but not at parity k + 1, and 1 when a sow had both records. Heritability was estimated by using single‐trait linear and threshold animal models. Genetic correlations among parities were estimated by using two‐trait linear–linear and single‐trait random regression linear animal models. Genetic correlations with litter traits at birth were estimated by using a two‐trait linear–linear animal model. Heritability estimates by linear model analysis were low (0.065–0.119 in Landrace & 0.061–0.157 in Large White); those by threshold model analysis were higher (0.136–0.200 & 0.110–0.283). Genetic correlations among parities differed between breeds and models. Genetic correlation between sow stayability and number born alive was positive in many cases, implying that selection for number born alive does not reduce sow stayability. The results seem to be affected by decisions on culling made by farmers.
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Affiliation(s)
- Shinichiro Ogawa
- Graduate School of Agricultural Science, Tohoku University, Sendai, Japan
| | | | - Kazuo Ishii
- Division of Animal Breeding and Reproduction, Institute of Livestock and Grassland Science, NARO, Tsukuba, Japan
| | - Yoshinobu Uemoto
- Graduate School of Agricultural Science, Tohoku University, Sendai, Japan
| | - Masahiro Satoh
- Graduate School of Agricultural Science, Tohoku University, Sendai, Japan
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Lu X, Abdalla IM, Nazar M, Fan Y, Zhang Z, Wu X, Xu T, Yang Z. Genome-Wide Association Study on Reproduction-Related Body-Shape Traits of Chinese Holstein Cows. Animals (Basel) 2021; 11:1927. [PMID: 34203505 PMCID: PMC8300307 DOI: 10.3390/ani11071927] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/12/2021] [Revised: 06/21/2021] [Accepted: 06/25/2021] [Indexed: 12/24/2022] Open
Abstract
Reproduction is an important production activity for dairy cows, and their reproductive performance can directly affect the level of farmers' income. To better understand the genomic regions and biological pathways of reproduction-related traits of dairy cows, in the present study, three body shape traits-Loin Strength (LS), Rump Angle (RA), and Pin Width (PW)-were selected as indicators of the reproductive ability of cows, and we conducted genome-wide association analyses on them. The heritability of these three traits was medium, ranging from 0.20 to 0.38. A total of 11 significant single-nucleotide polymorphisms (SNPs) were detected associated with these three traits. Bioinformatics analysis was performed on genes close to the significant SNPs (within 200 Kb) of LS, RA, and PW, and we found that these genes were totally enriched in 20 gene ontology terms and six KEGG signaling pathways. Finally, the five genes CDH12, TARP, PCDH9, DTHD1, and ARAP2 were selected as candidate genes that might affect LS. The six genes LOC781835, FSTL4, ATG4C, SH3BP4, DMP1, and DSPP were selected as candidate genes that might affect RA. The five genes USP6NL, CNTN3, LOC101907665, UPF2, and ECHDC3 were selected as candidate genes that might affect the PW of Chinese Holstein cows. Our results could provide useful biological information for the improvement of body shape traits and contribute to the genomic selection of Chinese Holstein cows.
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Affiliation(s)
- Xubin Lu
- College of Animal Science and Technology, Yangzhou University, Yangzhou 225002, China; (X.L.); (I.M.A.); (M.N.); (Y.F.); (Z.Z.); (X.W.)
| | - Ismail Mohamed Abdalla
- College of Animal Science and Technology, Yangzhou University, Yangzhou 225002, China; (X.L.); (I.M.A.); (M.N.); (Y.F.); (Z.Z.); (X.W.)
| | - Mudasir Nazar
- College of Animal Science and Technology, Yangzhou University, Yangzhou 225002, China; (X.L.); (I.M.A.); (M.N.); (Y.F.); (Z.Z.); (X.W.)
| | - Yongliang Fan
- College of Animal Science and Technology, Yangzhou University, Yangzhou 225002, China; (X.L.); (I.M.A.); (M.N.); (Y.F.); (Z.Z.); (X.W.)
| | - Zhipeng Zhang
- College of Animal Science and Technology, Yangzhou University, Yangzhou 225002, China; (X.L.); (I.M.A.); (M.N.); (Y.F.); (Z.Z.); (X.W.)
| | - Xinyue Wu
- College of Animal Science and Technology, Yangzhou University, Yangzhou 225002, China; (X.L.); (I.M.A.); (M.N.); (Y.F.); (Z.Z.); (X.W.)
| | - Tianle Xu
- Joint International Research Laboratory of Agriculture and Agri-Product Safety, Yangzhou University, Yangzhou 225009, China;
| | - Zhangping Yang
- College of Animal Science and Technology, Yangzhou University, Yangzhou 225002, China; (X.L.); (I.M.A.); (M.N.); (Y.F.); (Z.Z.); (X.W.)
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