Genetic Evaluation of Longevity in Australian Angus cattle Using Random Regression Models

IF 2.9 2区 农林科学 Q1 AGRICULTURE, DAIRY & ANIMAL SCIENCE Journal of animal science Pub Date : 2025-02-08 DOI:10.1093/jas/skaf035
Hassan Aliloo, Julius H J van der Werf, Samuel A Clark
{"title":"Genetic Evaluation of Longevity in Australian Angus cattle Using Random Regression Models","authors":"Hassan Aliloo, Julius H J van der Werf, Samuel A Clark","doi":"10.1093/jas/skaf035","DOIUrl":null,"url":null,"abstract":"Cow longevity is an economically important trait for beef breeders directly impacting profitability and sustainability of beef cattle production systems. Despite its great importance, early selection for longevity is complex because the true longevity of a cow is not known until the end of her life. In this study we aimed to estimate variance components and genetic parameters for two binary measures of cow longevity in Australian Angus cattle population. Traditional longevity (TL) represented the cow’s ability to avoid culling after the first calving while functional longevity (FL) also accounted for calving events while the cow was present in the herd. Five datasets consisting of animals culled because of different reasons were created and evaluated separately to compare the estimates of variance components and genetic parameters. We also investigated the impact of censored data on estimated breeding values of bulls with different proportions of active daughters. A single-trait random regression model using a Bayesian Gibbs sampler was applied to both longevity traits and all 5 culling reason groups between age 2 to 11 yr. The heritabilites were generally low and ranged between 0.02 to 0.19 for TL and between 0.02 to 0.20 for FL traits. The peak of heritabilites were found between ages 4 to 6 yr for both longevity measures. The low estimates of genetic correlations between ages at the beginning and end of the trajectory in all culling reason groups indicated that longevity evaluated at early and late stages of life are not genetically the same traits. The estimated breeding values of sires with active daughters were underestimated when the censored data was excluded from the analysis. The negative impact of censoring was larger for younger sires who had larger proportion of active daughters. Our results indicate the additive genetic component has a sizeable contribution to the variability of longevity in Australian Angus cattle and therefore, the genetic improvement of longevity can be achieved if longevity is considered as a long-term breeding objective.","PeriodicalId":14895,"journal":{"name":"Journal of animal science","volume":"12 1","pages":""},"PeriodicalIF":2.9000,"publicationDate":"2025-02-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of animal science","FirstCategoryId":"97","ListUrlMain":"https://doi.org/10.1093/jas/skaf035","RegionNum":2,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"AGRICULTURE, DAIRY & ANIMAL SCIENCE","Score":null,"Total":0}
引用次数: 0

Abstract

Cow longevity is an economically important trait for beef breeders directly impacting profitability and sustainability of beef cattle production systems. Despite its great importance, early selection for longevity is complex because the true longevity of a cow is not known until the end of her life. In this study we aimed to estimate variance components and genetic parameters for two binary measures of cow longevity in Australian Angus cattle population. Traditional longevity (TL) represented the cow’s ability to avoid culling after the first calving while functional longevity (FL) also accounted for calving events while the cow was present in the herd. Five datasets consisting of animals culled because of different reasons were created and evaluated separately to compare the estimates of variance components and genetic parameters. We also investigated the impact of censored data on estimated breeding values of bulls with different proportions of active daughters. A single-trait random regression model using a Bayesian Gibbs sampler was applied to both longevity traits and all 5 culling reason groups between age 2 to 11 yr. The heritabilites were generally low and ranged between 0.02 to 0.19 for TL and between 0.02 to 0.20 for FL traits. The peak of heritabilites were found between ages 4 to 6 yr for both longevity measures. The low estimates of genetic correlations between ages at the beginning and end of the trajectory in all culling reason groups indicated that longevity evaluated at early and late stages of life are not genetically the same traits. The estimated breeding values of sires with active daughters were underestimated when the censored data was excluded from the analysis. The negative impact of censoring was larger for younger sires who had larger proportion of active daughters. Our results indicate the additive genetic component has a sizeable contribution to the variability of longevity in Australian Angus cattle and therefore, the genetic improvement of longevity can be achieved if longevity is considered as a long-term breeding objective.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
随机回归模型对澳大利亚安格斯牛寿命的遗传评价
对肉牛养殖者来说,牛的寿命是一个重要的经济性状,直接影响肉牛生产系统的盈利能力和可持续性。尽管它非常重要,但早期选择长寿是复杂的,因为奶牛的真正寿命直到生命结束时才知道。在这项研究中,我们旨在估计澳大利亚安格斯牛种群中奶牛寿命的两个二元测量的方差成分和遗传参数。传统寿命(TL)代表了奶牛在第一次产犊后避免被淘汰的能力,而功能性寿命(FL)也说明了奶牛在牛群中产犊时的产犊事件。由因不同原因而被淘汰的动物组成的5个数据集被创建并分别评估,以比较方差成分和遗传参数的估计。我们还研究了审查数据对不同比例的活跃雌性公牛的估计繁殖值的影响。使用贝叶斯吉布斯采样器建立单性状随机回归模型,对2 ~ 11岁的长寿性状和5个筛选原因组进行分析。遗传率普遍较低,TL性状的遗传率在0.02 ~ 0.19之间,FL性状的遗传率在0.02 ~ 0.20之间。在4岁到6岁之间发现了两种寿命测量的遗传力峰值。在所有选择原因组中,对轨迹开始和结束年龄之间遗传相关性的估计较低,这表明在生命早期和晚期评估的寿命在遗传上并不是相同的特征。当从分析中排除审查数据时,具有活跃子代的母系的估计育种值被低估了。审查的负面影响对年轻的父亲来说更大,因为他们有更多的活跃的女儿。我们的研究结果表明,加性遗传成分对澳大利亚安格斯牛的寿命变异性有相当大的贡献,因此,如果长寿被认为是一个长期的育种目标,那么长寿的遗传改进是可以实现的。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
Journal of animal science
Journal of animal science 农林科学-奶制品与动物科学
CiteScore
4.80
自引率
12.10%
发文量
1589
审稿时长
3 months
期刊介绍: The Journal of Animal Science (JAS) is the premier journal for animal science and serves as the leading source of new knowledge and perspective in this area. JAS publishes more than 500 fully reviewed research articles, invited reviews, technical notes, and letters to the editor each year. Articles published in JAS encompass a broad range of research topics in animal production and fundamental aspects of genetics, nutrition, physiology, and preparation and utilization of animal products. Articles typically report research with beef cattle, companion animals, goats, horses, pigs, and sheep; however, studies involving other farm animals, aquatic and wildlife species, and laboratory animal species that address fundamental questions related to livestock and companion animal biology will be considered for publication.
期刊最新文献
Long non-coding RNA MLST Promotes Milk Fat Synthesis in Bovine Mammary Epithelial Cells by Sponging miR-7 to Activate the mTOR Signal Pathway. Using predictivity to estimate heritabilities and genetic correlations over time for growth traits in a large genotyped Angus cattle population. An integrated in vitro antioxidant/in vivo metabolomics approach unravels the synergistic effects between oregano essential oil and vitamin C as a nutritional strategy for alleviating heat stress in rabbits. Genetic parameter estimation and genome-wide association study of fiber characteristics for cashmere goats in the United States. Multiomics analysis reveals an association of ASIP with the gray coat color pattern in donkeys
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1