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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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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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Homma C, Hirose K, Ito T, Kamikawa M, Toma S, Nikaido S, Satoh M, Uemoto Y. Estimation of genetic parameter for feed efficiency and resilience traits in three pig breeds. Animal 2021; 15:100384. [PMID: 34757251 DOI: 10.1016/j.animal.2021.100384] [Citation(s) in RCA: 20] [Impact Index Per Article: 6.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/16/2021] [Revised: 09/13/2021] [Accepted: 09/17/2021] [Indexed: 11/16/2022] Open
Abstract
Recently, automatic feeders have become popular for collecting daily feed intake data in the pig industry, making it possible to evaluate genetic effects on feed efficiency and resilience traits, expressed as day-to-day fluctuations in feeding records. This study aimed to understand the influence of genetic factors on feed efficiency traits, including residual intake and BW gain (RIG), and resilience traits, as well as to compare the differences in genetic parameter estimates among three purebred pig breeds. A total of 6 103 pigs from three breeds (Large White: 1 193 pigs, Landrace: 3 010 pigs, and Duroc: 1 900 pigs) were raised in a specific pathogen-free environment. The growth and feed intake records during the testing period were obtained using automatic feeders, and the average daily gain (ADG) and average feed intake (AFI) were calculated. Feed conversion ratio (FCR), residual feed intake (RFI), residual gain, and RIG were calculated as feed efficiency traits, and the log-transformed variance of deviation for the daily feed intake (LnVar_FI), daily occupation time (LnVar_OC), and the daily number of visits to the feeder (LnVar_VT) was calculated as resilience traits. After estimating the genetic parameters for each breed, a meta-analysis was performed to obtain the weighted mean of heritability estimates (hm2) and genetic correlation estimates (GCm) for the three breeds. The hm2 were moderate and ranged from 0.31 to 0.39 for feed efficiency traits and 0.31 to 0.40 for resilience traits, and there were no significant differences in heritability estimates among the three breeds except for AFI, RFI, and RIG. For feed efficiency traits, the FCR and RIG showed favourably moderate GCm with AFI (0.29 and -0.33, respectively) and ADG (-0.39 and 0.31, respectively). For resilience traits, the LnVar_FI and LnVar_VT showed favourably low to moderate GCm with FCR (0.33 and 0.28, respectively) and RIG (-0.37 and 0.28, respectively), and there were no genetic relationships of LnVar_OC with FCR and RIG (the absolute value of GCm was 0.01). There was no significant difference in the genetic correlation estimates among the three breeds for feed efficiency and resilience traits. Our results suggest that feed efficiency and resilience traits were heritable, and resilience traits showed favourable or no genetic correlation with feed efficiency traits. In addition, the influence of genetic factors on feed efficiency and resilience traits could be the same among breeds.
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Affiliation(s)
- C Homma
- Graduate School of Agricultural Science, Tohoku University, Sendai, Miyagi 980-8572, Japan
| | - K Hirose
- Central Research Institute for Feed and Livestock, ZEN-NOH (National Federation of Agricultural Cooperative Associations), Kamishihoro, Hokkaido 080-1406, Japan
| | - T Ito
- Central Research Institute for Feed and Livestock, ZEN-NOH (National Federation of Agricultural Cooperative Associations), Kamishihoro, Hokkaido 080-1406, Japan
| | - M Kamikawa
- Central Research Institute for Feed and Livestock, ZEN-NOH (National Federation of Agricultural Cooperative Associations), Kamishihoro, Hokkaido 080-1406, Japan
| | - S Toma
- Central Research Institute for Feed and Livestock, ZEN-NOH (National Federation of Agricultural Cooperative Associations), Kamishihoro, Hokkaido 080-1406, Japan
| | - S Nikaido
- ZEN-NOH LIVESTOCK CO., LTD, 11-17, Fuyuki, Koto-ku, Tokyo 135-0041, Japan
| | - M Satoh
- Graduate School of Agricultural Science, Tohoku University, Sendai, Miyagi 980-8572, Japan
| | - Y Uemoto
- Graduate School of Agricultural Science, Tohoku University, Sendai, Miyagi 980-8572, Japan.
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Alam M, Chang HK, Lee SS, Choi TJ. Genetic Analysis of Major Production and Reproduction Traits of Korean Duroc, Landrace and Yorkshire Pigs. Animals (Basel) 2021; 11:1321. [PMID: 34063090 PMCID: PMC8147943 DOI: 10.3390/ani11051321] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/15/2021] [Revised: 04/28/2021] [Accepted: 04/30/2021] [Indexed: 12/04/2022] Open
Abstract
The study aimed to investigate the genetic parameters of the production and reproduction traits of Korean Duroc, Landrace, and Yorkshire pigs. Three production traits, namely average daily gain (ADG), age at 105 kg body weight (DAYS105) and backfat thickness (BFT), and three reproduction traits, namely age at first farrowing (AFF), total number of piglets born (TNB) and number of piglets born alive (NBA), were analyzed. The reproduction dataset was based on first-parity gilts only. However, the production dataset comprised pigs of both sexes. Genetic parameters were estimated from individual datasets using a multiple-trait animal model in AIREMLF90 software. The heritability values of ADG, DAYS105 and BFT were 0.34-0.36, 0.41-0.44 and 0.38-0.48, respectively, across breeds. Heritability values for AFF, TNB and NBA were 0.07-0.14, 0.09-0.11 and 0.09-0.10, respectively. Strong genetic correlations existed between ADG and DAYS105 (-0.97) and between TNB and NBA (0.90 to 0.96). In line with breeding goals, all productive traits in Duroc pigs, and all reproduction traits except AFF in Landrace and Yorkshire pigs, also showed noticeable improvements in recent years. In conclusion, we believe that our findings on economic traits would greatly assist future pig breeding decisions in Korea.
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Affiliation(s)
| | - Hyuk-Kee Chang
- Correspondence: (H.-K.C.); (T.-J.C.); Tel.: +82-580-3353 (H.-K.C.); +82-580-3362 (T.-J.C.)
| | | | - Tae-Jeong Choi
- Animal Breeding and Genetics Division, National Institute of Animal Science, Cheonan-si 31000, Korea; (M.A.); (S.-S.L.)
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Ogawa S, Yazaki N, Ohnishi C, Ishii K, Uemoto Y, Satoh M. Maternal effect on body measurement and meat production traits in purebred Duroc pigs. J Anim Breed Genet 2020; 138:237-245. [PMID: 32949477 DOI: 10.1111/jbg.12505] [Citation(s) in RCA: 13] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/12/2020] [Revised: 08/06/2020] [Accepted: 08/18/2020] [Indexed: 11/29/2022]
Abstract
We investigated maternal effect on nine body measurement traits (body height, body length, front width (FW), chest width (CW), hind width (HW), chest depth, chest girth (CHG), front cannon circumference (FCC) and rear cannon circumference (RCC)) measured at the end of performance testing and five meat production traits (ages at the start and end of performance testing (D30 and D105), average daily gain (ADG), backfat thickness and loin muscle area) in purebred Duroc pigs. Genetic parameters for each trait were estimated by using six single-trait models with and without common litter environmental effect, maternal genetic effect and direct-maternal genetic correlation. The value of Akaike's information criterion was lowest with the model including direct additive genetic and common litter environmental effects for 10 traits. The estimated proportion of common litter environmental variance to phenotypic variance was approximately ≥0.1 for D30, D105, ADG, FW, CW, HW, CHG, FCC and RCC. Using a model without common litter environmental effect would overestimate the direct heritability of most traits. Standard errors of estimated genetic parameters tended to be larger in models including maternal genetic effect. The results indicate that a compromise could be made for accurate genetic parameter estimation for body measurement traits, as well as meat production traits, in pigs by considering common litter environmental effect.
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Affiliation(s)
- Shinichiro Ogawa
- Graduate School of Agricultural Science, Tohoku University, Sendai, Japan
| | - Natsumi Yazaki
- Graduate School of Agricultural Science, Tohoku University, Sendai, Japan
| | - Chika Ohnishi
- National Livestock Breeding Center, Miyazaki Station, Kobayashi, 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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Ito T, Fukawa K, Kamikawa M, Nikaidou S, Taniguchi M, Arakawa A, Tanaka G, Mikawa S, Furukawa T, Hirose K. Effects of correcting missing daily feed intake values on the genetic parameters and estimated breeding values for feeding traits in pigs. Anim Sci J 2017; 89:12-20. [PMID: 28856828 PMCID: PMC5811903 DOI: 10.1111/asj.12891] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/01/2016] [Accepted: 07/10/2017] [Indexed: 01/08/2023]
Abstract
Daily feed intake (DFI) is an important consideration for improving feed efficiency, but measurements using electronic feeder systems contain many missing and incorrect values. Therefore, we evaluated three methods for correcting missing DFI data (quadratic, orthogonal polynomial, and locally weighted (Loess) regression equations) and assessed the effects of these missing values on the genetic parameters and the estimated breeding values (EBV) for feeding traits. DFI records were obtained from 1622 Duroc pigs, comprising 902 individuals without missing DFI and 720 individuals with missing DFI. The Loess equation was the most suitable method for correcting the missing DFI values in 5–50% randomly deleted datasets among the three equations. Both variance components and heritability for the average DFI (ADFI) did not change because of the missing DFI proportion and Loess correction. In terms of rank correlation and information criteria, Loess correction improved the accuracy of EBV for ADFI compared to randomly deleted cases. These findings indicate that the Loess equation is useful for correcting missing DFI values for individual pigs and that the correction of missing DFI values could be effective for the estimation of breeding values and genetic improvement using EBV for feeding traits.
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Affiliation(s)
- Tetsuya Ito
- Central Research Institute for Feed and Livestock, ZEN-NOH (National Federation of Agricultural Cooperative Associations), Kamishihoro, Hokkaido, Japan.,Graduate School of Agriculture, Tokyo University of Agriculture, Atsugi, Kanagawa, Japan
| | - Kazuo Fukawa
- Central Research Institute for Feed and Livestock, ZEN-NOH (National Federation of Agricultural Cooperative Associations), Kamishihoro, Hokkaido, Japan
| | - Mai Kamikawa
- Central Research Institute for Feed and Livestock, ZEN-NOH (National Federation of Agricultural Cooperative Associations), Kamishihoro, Hokkaido, Japan
| | - Satoshi Nikaidou
- Technical Section, ZEN-NOH LIVESTOCK CO., LTD., Koto Ward, Tokyo, Japan
| | - Masaaki Taniguchi
- Institute of Livestock and Grassland Science, National Agriculture and Food Research Organization, Tsukuba, Ibaraki, Japan
| | - Aisaku Arakawa
- Institute of Livestock and Grassland Science, National Agriculture and Food Research Organization, Tsukuba, Ibaraki, Japan
| | - Genki Tanaka
- Central Research Institute for Feed and Livestock, ZEN-NOH (National Federation of Agricultural Cooperative Associations), Kamishihoro, Hokkaido, Japan
| | - Satoshi Mikawa
- Institute of Livestock and Grassland Science, National Agriculture and Food Research Organization, Tsukuba, Ibaraki, Japan
| | - Tsutomu Furukawa
- Faculty of Agriculture, Tokyo University of Agriculture, Atsugi, Kanagawa, Japan
| | - Kensuke Hirose
- East Japan GGP Farm, ZEN-NOH LIVESTOCK CO., LTD., Shizukuishi, Iwate, Japan
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