Genomic Selection for Milk Production Traits in Xinjiang Brown Cattle
One-step genomic selection is a method for improving the reliability of the breeding value estimation. This study aimed to compare the reliability of pedigree-based best linear unbiased prediction (PBLUP) and single-step genomic best linear unbiased prediction (ssGBLUP), single-trait and multitrait...
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MDPI AG
2022-01-01
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| Series: | Animals |
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| Online Access: | https://www.mdpi.com/2076-2615/12/2/136 |
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| author | Menghua Zhang Hanpeng Luo Lei Xu Yuangang Shi Jinghang Zhou Dan Wang Xiaoxue Zhang Xixia Huang Yachun Wang |
| author_facet | Menghua Zhang Hanpeng Luo Lei Xu Yuangang Shi Jinghang Zhou Dan Wang Xiaoxue Zhang Xixia Huang Yachun Wang |
| author_sort | Menghua Zhang |
| collection | DOAJ |
| description | One-step genomic selection is a method for improving the reliability of the breeding value estimation. This study aimed to compare the reliability of pedigree-based best linear unbiased prediction (PBLUP) and single-step genomic best linear unbiased prediction (ssGBLUP), single-trait and multitrait models, and the restricted maximum likelihood (REML) and Bayesian methods. Data were collected from the production performance records of 2207 Xinjiang Brown cattle in Xinjiang from 1983 to 2018. A cross test was designed to calculate the genetic parameters and reliability of the breeding value of 305 daily milk yield (305 dMY), milk fat yield (MFY), milk protein yield (MPY), and somatic cell score (SCS) of Xinjiang Brown cattle. The heritability of 305 dMY, MFY, MPY, and SCS estimated using the REML and Bayesian multitrait models was approximately 0.39 (0.02), 0.40 (0.03), 0.49 (0.02), and 0.07 (0.02), respectively. The heritability and estimated breeding value (EBV) and the reliability of milk production traits of these cattle calculated based on PBLUP and ssGBLUP using the multitrait model REML and Bayesian methods were higher than those of the single-trait model REML method; the ssGBLUP method was significantly better than the PBLUP method. The reliability of the estimated breeding value can be improved from 0.9% to 3.6%, and the reliability of the genomic estimated breeding value (GEBV) for the genotyped population can reach 83%. Therefore, the genetic evaluation of the multitrait model is better than that of the single-trait model. Thus, genomic selection can be applied to small population varieties such as Xinjiang Brown cattle, in improving the reliability of the genomic estimated breeding value. |
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| language | English |
| last_indexed | 2024-03-10T03:04:02Z |
| publishDate | 2022-01-01 |
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| series | Animals |
| spelling | doaj.art-c62d1a92fb8d4bd19a724c313a60f7962023-11-23T12:41:02ZengMDPI AGAnimals2076-26152022-01-0112213610.3390/ani12020136Genomic Selection for Milk Production Traits in Xinjiang Brown CattleMenghua Zhang0Hanpeng Luo1Lei Xu2Yuangang Shi3Jinghang Zhou4Dan Wang5Xiaoxue Zhang6Xixia Huang7Yachun Wang8College of Animal Science, Xinjiang Agricultural University, Urumqi 830052, ChinaLaboratory of Animal Genetics, Breeding and Reproduction, Ministry of Agriculture of China, National Engineering Laboratory of Animal Breeding, College of Animal Science and Technology, China Agricultural University, Beijing 100193, ChinaCollege of Animal Science, Xinjiang Agricultural University, Urumqi 830052, ChinaSchool of Agriculture, Ningxia University, Yinchuan 750021, ChinaSchool of Agriculture, Ningxia University, Yinchuan 750021, ChinaCollege of Animal Science, Xinjiang Agricultural University, Urumqi 830052, ChinaCollege of Animal Science, Xinjiang Agricultural University, Urumqi 830052, ChinaCollege of Animal Science, Xinjiang Agricultural University, Urumqi 830052, ChinaLaboratory of Animal Genetics, Breeding and Reproduction, Ministry of Agriculture of China, National Engineering Laboratory of Animal Breeding, College of Animal Science and Technology, China Agricultural University, Beijing 100193, ChinaOne-step genomic selection is a method for improving the reliability of the breeding value estimation. This study aimed to compare the reliability of pedigree-based best linear unbiased prediction (PBLUP) and single-step genomic best linear unbiased prediction (ssGBLUP), single-trait and multitrait models, and the restricted maximum likelihood (REML) and Bayesian methods. Data were collected from the production performance records of 2207 Xinjiang Brown cattle in Xinjiang from 1983 to 2018. A cross test was designed to calculate the genetic parameters and reliability of the breeding value of 305 daily milk yield (305 dMY), milk fat yield (MFY), milk protein yield (MPY), and somatic cell score (SCS) of Xinjiang Brown cattle. The heritability of 305 dMY, MFY, MPY, and SCS estimated using the REML and Bayesian multitrait models was approximately 0.39 (0.02), 0.40 (0.03), 0.49 (0.02), and 0.07 (0.02), respectively. The heritability and estimated breeding value (EBV) and the reliability of milk production traits of these cattle calculated based on PBLUP and ssGBLUP using the multitrait model REML and Bayesian methods were higher than those of the single-trait model REML method; the ssGBLUP method was significantly better than the PBLUP method. The reliability of the estimated breeding value can be improved from 0.9% to 3.6%, and the reliability of the genomic estimated breeding value (GEBV) for the genotyped population can reach 83%. Therefore, the genetic evaluation of the multitrait model is better than that of the single-trait model. Thus, genomic selection can be applied to small population varieties such as Xinjiang Brown cattle, in improving the reliability of the genomic estimated breeding value.https://www.mdpi.com/2076-2615/12/2/136Xinjiang Brown cattlemilkSCSREMLBayessingle-step GBLUP |
| spellingShingle | Menghua Zhang Hanpeng Luo Lei Xu Yuangang Shi Jinghang Zhou Dan Wang Xiaoxue Zhang Xixia Huang Yachun Wang Genomic Selection for Milk Production Traits in Xinjiang Brown Cattle Animals Xinjiang Brown cattle milk SCS REML Bayes single-step GBLUP |
| title | Genomic Selection for Milk Production Traits in Xinjiang Brown Cattle |
| title_full | Genomic Selection for Milk Production Traits in Xinjiang Brown Cattle |
| title_fullStr | Genomic Selection for Milk Production Traits in Xinjiang Brown Cattle |
| title_full_unstemmed | Genomic Selection for Milk Production Traits in Xinjiang Brown Cattle |
| title_short | Genomic Selection for Milk Production Traits in Xinjiang Brown Cattle |
| title_sort | genomic selection for milk production traits in xinjiang brown cattle |
| topic | Xinjiang Brown cattle milk SCS REML Bayes single-step GBLUP |
| url | https://www.mdpi.com/2076-2615/12/2/136 |
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