Genomic-based genetic parameters for resilience across lactations in North American Holstein cattle based on variability in daily milk yield records
ABSTRACT: Considering the increasing challenges imposed by climate change and the need to improve animal welfare, breeding more resilient animals capable of better coping with environmental disturbances is of paramount importance. In dairy cattle, resilience can be evaluated by measuring the longitu...
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| Format: | Article |
| Language: | English |
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Elsevier
2023-06-01
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| Series: | Journal of Dairy Science |
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| Online Access: | http://www.sciencedirect.com/science/article/pii/S0022030223001984 |
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| author | Shi-Yi Chen Jacquelyn P. Boerman Leonardo S. Gloria Victor B. Pedrosa Jarrod Doucette Luiz F. Brito |
| author_facet | Shi-Yi Chen Jacquelyn P. Boerman Leonardo S. Gloria Victor B. Pedrosa Jarrod Doucette Luiz F. Brito |
| author_sort | Shi-Yi Chen |
| collection | DOAJ |
| description | ABSTRACT: Considering the increasing challenges imposed by climate change and the need to improve animal welfare, breeding more resilient animals capable of better coping with environmental disturbances is of paramount importance. In dairy cattle, resilience can be evaluated by measuring the longitudinal occurrences of abnormal daily milk yield throughout lactation. Aiming to estimate genetic parameters for dairy cattle resilience, we collected 5,643,193 daily milk yield records on automatic milking systems (milking robots) and milking parlors across 21,350 lactations 1 to 3 of 11,787 North American Holstein cows. All cows were genotyped with 62,029 SNPs. After determining the best fitting models for each of the 3 lactations, daily milk yield residuals were used to derive 4 resilience indicators: weighted occurrence frequency of yield perturbations (wfPert), accumulated milk losses of yield perturbations (dPert), and log-transformed variance (LnVar) and lag-1 autocorrelation (rauto) of daily yield residuals. The indicator LnVar presented the highest heritability estimates (±standard error), ranging from 0.13 ± 0.01 in lactation 1 to 0.15 ± 0.02 in lactation 2; the other 3 indicators had relatively lower heritabilities across the 3 lactations (0.01–0.06). Based on bivariate analyses of each resilience indicator across lactations, stronger genetic correlations were observed between lactations 2 and 3 (0.88–0.96) than between lactations 1 and 2 or 3 (0.34–0.88) for dPert, LnVar, and rauto. For the pairwise comparisons of different resilience indicators within each lactation, dPert had the strongest genetic correlations with wfPert (0.64) and rauto (0.53) in lactation 1, whereas the correlations in lactations 2 and 3 were more variable and showed relatively high standard errors. The genetic correlation results indicated that different resilience indicators across lactations might capture additional biological mechanisms and should be considered as different traits in genetic evaluations. We also observed favorable genetic correlations of these resilience indicators with longevity and Net Merit index, but further biological validation of these resilience indicators is needed. In conclusion, this study provided genetic parameter estimates for different resilience indicators derived from daily milk yields across the first 3 lactations in Holstein cattle, which will be useful when potentially incorporating these traits in dairy cattle breeding schemes. |
| first_indexed | 2024-03-13T09:07:24Z |
| format | Article |
| id | doaj.art-fa1937c4f3214c15bd56f5823ec2399b |
| institution | Directory Open Access Journal |
| issn | 0022-0302 |
| language | English |
| last_indexed | 2024-03-13T09:07:24Z |
| publishDate | 2023-06-01 |
| publisher | Elsevier |
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| series | Journal of Dairy Science |
| spelling | doaj.art-fa1937c4f3214c15bd56f5823ec2399b2023-05-28T04:08:32ZengElsevierJournal of Dairy Science0022-03022023-06-01106641334146Genomic-based genetic parameters for resilience across lactations in North American Holstein cattle based on variability in daily milk yield recordsShi-Yi Chen0Jacquelyn P. Boerman1Leonardo S. Gloria2Victor B. Pedrosa3Jarrod Doucette4Luiz F. Brito5Department of Animal Sciences, Purdue University, West Lafayette, IN 47907; Farm Animal Genetic Resources Exploration and Innovation Key Laboratory of Sichuan Province, Sichuan Agricultural University, Chengdu, Sichuan, 611130, ChinaDepartment of Animal Sciences, Purdue University, West Lafayette, IN 47907Department of Animal Sciences, Purdue University, West Lafayette, IN 47907Department of Animal Sciences, Purdue University, West Lafayette, IN 47907Agriculture Information Technology (AgIT), Purdue University, West Lafayette, IN 47907Department of Animal Sciences, Purdue University, West Lafayette, IN 47907; Corresponding authorABSTRACT: Considering the increasing challenges imposed by climate change and the need to improve animal welfare, breeding more resilient animals capable of better coping with environmental disturbances is of paramount importance. In dairy cattle, resilience can be evaluated by measuring the longitudinal occurrences of abnormal daily milk yield throughout lactation. Aiming to estimate genetic parameters for dairy cattle resilience, we collected 5,643,193 daily milk yield records on automatic milking systems (milking robots) and milking parlors across 21,350 lactations 1 to 3 of 11,787 North American Holstein cows. All cows were genotyped with 62,029 SNPs. After determining the best fitting models for each of the 3 lactations, daily milk yield residuals were used to derive 4 resilience indicators: weighted occurrence frequency of yield perturbations (wfPert), accumulated milk losses of yield perturbations (dPert), and log-transformed variance (LnVar) and lag-1 autocorrelation (rauto) of daily yield residuals. The indicator LnVar presented the highest heritability estimates (±standard error), ranging from 0.13 ± 0.01 in lactation 1 to 0.15 ± 0.02 in lactation 2; the other 3 indicators had relatively lower heritabilities across the 3 lactations (0.01–0.06). Based on bivariate analyses of each resilience indicator across lactations, stronger genetic correlations were observed between lactations 2 and 3 (0.88–0.96) than between lactations 1 and 2 or 3 (0.34–0.88) for dPert, LnVar, and rauto. For the pairwise comparisons of different resilience indicators within each lactation, dPert had the strongest genetic correlations with wfPert (0.64) and rauto (0.53) in lactation 1, whereas the correlations in lactations 2 and 3 were more variable and showed relatively high standard errors. The genetic correlation results indicated that different resilience indicators across lactations might capture additional biological mechanisms and should be considered as different traits in genetic evaluations. We also observed favorable genetic correlations of these resilience indicators with longevity and Net Merit index, but further biological validation of these resilience indicators is needed. In conclusion, this study provided genetic parameter estimates for different resilience indicators derived from daily milk yields across the first 3 lactations in Holstein cattle, which will be useful when potentially incorporating these traits in dairy cattle breeding schemes.http://www.sciencedirect.com/science/article/pii/S0022030223001984animal resiliencedairy cattlegenetic parameterlongitudinal variabilitymilking robot |
| spellingShingle | Shi-Yi Chen Jacquelyn P. Boerman Leonardo S. Gloria Victor B. Pedrosa Jarrod Doucette Luiz F. Brito Genomic-based genetic parameters for resilience across lactations in North American Holstein cattle based on variability in daily milk yield records Journal of Dairy Science animal resilience dairy cattle genetic parameter longitudinal variability milking robot |
| title | Genomic-based genetic parameters for resilience across lactations in North American Holstein cattle based on variability in daily milk yield records |
| title_full | Genomic-based genetic parameters for resilience across lactations in North American Holstein cattle based on variability in daily milk yield records |
| title_fullStr | Genomic-based genetic parameters for resilience across lactations in North American Holstein cattle based on variability in daily milk yield records |
| title_full_unstemmed | Genomic-based genetic parameters for resilience across lactations in North American Holstein cattle based on variability in daily milk yield records |
| title_short | Genomic-based genetic parameters for resilience across lactations in North American Holstein cattle based on variability in daily milk yield records |
| title_sort | genomic based genetic parameters for resilience across lactations in north american holstein cattle based on variability in daily milk yield records |
| topic | animal resilience dairy cattle genetic parameter longitudinal variability milking robot |
| url | http://www.sciencedirect.com/science/article/pii/S0022030223001984 |
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