Estimates of Variance Components and Heritability Using Random Regression Models for Semen Traits in Boars
It has been proven that the random regression model has a great advantage over the repeatability model in longitudinal data analysis. At present, the random regression model has been used as a standard analysis method in longitudinal data analysis. The aim of this study was to estimate the variance...
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Frontiers Media S.A.
2022-02-01
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| Series: | Frontiers in Genetics |
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| Online Access: | https://www.frontiersin.org/articles/10.3389/fgene.2022.805651/full |
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| author | Yifeng Hong Yifeng Hong Limin Yan Xiaoyan He Xiaoyan He Dan Wu Dan Wu Jian Ye Jian Ye Gengyuan Cai Gengyuan Cai Dewu Liu Zhenfang Wu Zhenfang Wu Cheng Tan Cheng Tan |
| author_facet | Yifeng Hong Yifeng Hong Limin Yan Xiaoyan He Xiaoyan He Dan Wu Dan Wu Jian Ye Jian Ye Gengyuan Cai Gengyuan Cai Dewu Liu Zhenfang Wu Zhenfang Wu Cheng Tan Cheng Tan |
| author_sort | Yifeng Hong |
| collection | DOAJ |
| description | It has been proven that the random regression model has a great advantage over the repeatability model in longitudinal data analysis. At present, the random regression model has been used as a standard analysis method in longitudinal data analysis. The aim of this study was to estimate the variance components and heritability of semen traits over the reproductive lifetime of boars. The study data, including 124,941 records from 3,366 boars, were collected from seven boar AI centers in South China between 2010 and 2019. To evaluate alternative models, we compared different polynomial orders of fixed, additive, and permanent environment effects in total 216 models using Bayesian Information Criterions. The result indicated that the best model always has higher-order polynomials of permanent environment effect and lower-order polynomials of fixed effect and additive effect regression. In Landrace boars, the heritabilities ranged from 0.18 to 0.28, 0.06 to 0.43, 0.03 to 0.14, and 0.05 to 0.24 for semen volume, sperm motility, sperm concentration, and abnormal sperm percentage, respectively. In Large White boars, the heritabilities ranged from 0.20 to 0.26, 0.07 to 0.15, 0.10 to 0.23, and 0.06 to 0.34 for semen volume, sperm motility, sperm concentration, and abnormal sperm percentage, respectively. |
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| language | English |
| last_indexed | 2024-04-11T18:00:09Z |
| publishDate | 2022-02-01 |
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| series | Frontiers in Genetics |
| spelling | doaj.art-c6dfa78f624742389f47af019a1fd0d72022-12-22T04:10:32ZengFrontiers Media S.A.Frontiers in Genetics1664-80212022-02-011310.3389/fgene.2022.805651805651Estimates of Variance Components and Heritability Using Random Regression Models for Semen Traits in BoarsYifeng Hong0Yifeng Hong1Limin Yan2Xiaoyan He3Xiaoyan He4Dan Wu5Dan Wu6Jian Ye7Jian Ye8Gengyuan Cai9Gengyuan Cai10Dewu Liu11Zhenfang Wu12Zhenfang Wu13Cheng Tan14Cheng Tan15College of Animal Science and National Engineering Research Center for Breeding Swine Industry, South China Agricultural University, Guangzhou, ChinaNational Engineering Research Center for Breeding Swine Industry, WENS Foodstuff Group Co., Ltd., Yunfu, ChinaCollege of Animal Science and National Engineering Research Center for Breeding Swine Industry, South China Agricultural University, Guangzhou, ChinaCollege of Animal Science and National Engineering Research Center for Breeding Swine Industry, South China Agricultural University, Guangzhou, ChinaNational Engineering Research Center for Breeding Swine Industry, WENS Foodstuff Group Co., Ltd., Yunfu, ChinaCollege of Animal Science and National Engineering Research Center for Breeding Swine Industry, South China Agricultural University, Guangzhou, ChinaNational Engineering Research Center for Breeding Swine Industry, WENS Foodstuff Group Co., Ltd., Yunfu, ChinaCollege of Animal Science and National Engineering Research Center for Breeding Swine Industry, South China Agricultural University, Guangzhou, ChinaNational Engineering Research Center for Breeding Swine Industry, WENS Foodstuff Group Co., Ltd., Yunfu, ChinaCollege of Animal Science and National Engineering Research Center for Breeding Swine Industry, South China Agricultural University, Guangzhou, ChinaNational Engineering Research Center for Breeding Swine Industry, WENS Foodstuff Group Co., Ltd., Yunfu, ChinaNational Engineering Research Center for Breeding Swine Industry, WENS Foodstuff Group Co., Ltd., Yunfu, ChinaCollege of Animal Science and National Engineering Research Center for Breeding Swine Industry, South China Agricultural University, Guangzhou, ChinaNational Engineering Research Center for Breeding Swine Industry, WENS Foodstuff Group Co., Ltd., Yunfu, ChinaCollege of Animal Science and National Engineering Research Center for Breeding Swine Industry, South China Agricultural University, Guangzhou, ChinaNational Engineering Research Center for Breeding Swine Industry, WENS Foodstuff Group Co., Ltd., Yunfu, ChinaIt has been proven that the random regression model has a great advantage over the repeatability model in longitudinal data analysis. At present, the random regression model has been used as a standard analysis method in longitudinal data analysis. The aim of this study was to estimate the variance components and heritability of semen traits over the reproductive lifetime of boars. The study data, including 124,941 records from 3,366 boars, were collected from seven boar AI centers in South China between 2010 and 2019. To evaluate alternative models, we compared different polynomial orders of fixed, additive, and permanent environment effects in total 216 models using Bayesian Information Criterions. The result indicated that the best model always has higher-order polynomials of permanent environment effect and lower-order polynomials of fixed effect and additive effect regression. In Landrace boars, the heritabilities ranged from 0.18 to 0.28, 0.06 to 0.43, 0.03 to 0.14, and 0.05 to 0.24 for semen volume, sperm motility, sperm concentration, and abnormal sperm percentage, respectively. In Large White boars, the heritabilities ranged from 0.20 to 0.26, 0.07 to 0.15, 0.10 to 0.23, and 0.06 to 0.34 for semen volume, sperm motility, sperm concentration, and abnormal sperm percentage, respectively.https://www.frontiersin.org/articles/10.3389/fgene.2022.805651/fullsemen traitrandom regression modelvariance componentsheritabilityboars |
| spellingShingle | Yifeng Hong Yifeng Hong Limin Yan Xiaoyan He Xiaoyan He Dan Wu Dan Wu Jian Ye Jian Ye Gengyuan Cai Gengyuan Cai Dewu Liu Zhenfang Wu Zhenfang Wu Cheng Tan Cheng Tan Estimates of Variance Components and Heritability Using Random Regression Models for Semen Traits in Boars Frontiers in Genetics semen trait random regression model variance components heritability boars |
| title | Estimates of Variance Components and Heritability Using Random Regression Models for Semen Traits in Boars |
| title_full | Estimates of Variance Components and Heritability Using Random Regression Models for Semen Traits in Boars |
| title_fullStr | Estimates of Variance Components and Heritability Using Random Regression Models for Semen Traits in Boars |
| title_full_unstemmed | Estimates of Variance Components and Heritability Using Random Regression Models for Semen Traits in Boars |
| title_short | Estimates of Variance Components and Heritability Using Random Regression Models for Semen Traits in Boars |
| title_sort | estimates of variance components and heritability using random regression models for semen traits in boars |
| topic | semen trait random regression model variance components heritability boars |
| url | https://www.frontiersin.org/articles/10.3389/fgene.2022.805651/full |
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