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DOI | 10.3168/jds.2023-23668 |
A comprehensive meta-analysis of genetic parameters for resilience and productivity indicator traits in Holstein cattle | |
Maskal, Jacob M.; Pedrosa, Victor B.; de Oliveira, Hinayah Rojas; Brito, Luiz F. | |
发表日期 | 2024 |
ISSN | 0022-0302 |
EISSN | 1525-3198 |
起始页码 | 107 |
结束页码 | 5 |
卷号 | 107期号:5 |
英文摘要 | Selection for resilience indicator (RIND) traits in Holstein cattle is becoming an important breeding objective as the worldwide population is expected to be exposed to increased environmental stressors due to both climate change and changing industry standards. However, genetic correlations between RIND and productivity indicator (PIND) traits, which are already being selected for and have the most economic value, are often unfavorable. As a result, it is necessary to fully understand these genetic relationships when incorporating novel traits into selection indices, so that informed decisions can be made to fully optimize selection for both groups of traits. In the past 2 decades, there have been many estimates of RIND traits published in the literature, albeit in small populations. To provide valuable pooled summary estimates, a randomeffects meta -analysis was conducted for heritability and genetic correlation estimates for PIND and RIND traits in worldwide Holstein cattle. In total, 926 heritability estimates for 9 PIND and 27 RIND traits, along with 362 estimates of genetic correlation (PIND x RIND traits) were collected. Resilience indicator traits were grouped into the following subgroups: Metabolic Diseases, Hoof Health, Udder Health, Fertility, Heat Tolerance, Longevity, and Other. Pooled estimates of heritability for PIND traits ranged from 0.201 +/- 0.05 (energy -corrected milk) to 0.377 +/- 0.06 (protein content), while pooled estimates of heritability for RIND traits ranged from 0.032 +/- 0.02 (incidence of lameness, incidence of milk fever) to 0.497 +/- 0.05 (measures of body weight). Pooled estimates of genetic correlations ranged from -0.360 +/- 0.25 (protein content vs. milk acetone concentration) to 0.535 +/- 0.72 (measures of fat -to -protein ratio vs. milk acetone concentration). Additionally, out of 243 potential genetic correlations between PIND and RIND traits that could have been reported, only 40 had enough published estimates to implement the meta -analysis model. Our results confirmed that the interactions between PIND and RIND traits are complex, and all relationships should be evaluated when incorporating novel traits into selection indices. This study provides a valuable reference for breeders looking to incorporate RIND traits for Holstein cattle into selection indices. |
英文关键词 | dairy cattle; genetic correlation; heritability; Holstein-Friesian; pooled estimates |
语种 | 英语 |
WOS研究方向 | Agriculture ; Food Science & Technology |
WOS类目 | Agriculture, Dairy & Animal Science ; Food Science & Technology |
WOS记录号 | WOS:001231127000001 |
来源期刊 | JOURNAL OF DAIRY SCIENCE
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文献类型 | 期刊论文 |
条目标识符 | http://gcip.llas.ac.cn/handle/2XKMVOVA/305352 |
作者单位 | Purdue University System; Purdue University |
推荐引用方式 GB/T 7714 | Maskal, Jacob M.,Pedrosa, Victor B.,de Oliveira, Hinayah Rojas,et al. A comprehensive meta-analysis of genetic parameters for resilience and productivity indicator traits in Holstein cattle[J],2024,107(5). |
APA | Maskal, Jacob M.,Pedrosa, Victor B.,de Oliveira, Hinayah Rojas,&Brito, Luiz F..(2024).A comprehensive meta-analysis of genetic parameters for resilience and productivity indicator traits in Holstein cattle.JOURNAL OF DAIRY SCIENCE,107(5). |
MLA | Maskal, Jacob M.,et al."A comprehensive meta-analysis of genetic parameters for resilience and productivity indicator traits in Holstein cattle".JOURNAL OF DAIRY SCIENCE 107.5(2024). |
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