Suppr超能文献

澳大利亚荷斯坦奶牛更新的饲料节省育种值评估。

Evaluation of updated Feed Saved breeding values developed in Australian Holstein dairy cattle.

作者信息

Bolormaa S, MacLeod I M, Khansefid M, Marett L C, Wales W J, Nieuwhof G J, Baes C F, Schenkel F S, Goddard M E, Pryce J E

机构信息

Agriculture Victoria Research, Agribio, 5 Ring Road, Bundoora, VIC, 3083 Australia.

Agriculture Victoria Research, Ellinbank Centre, Ellinbank, Gippsland, VIC, 3821 Australia.

出版信息

JDS Commun. 2022 Jan 10;3(2):114-119. doi: 10.3168/jdsc.2021-0150. eCollection 2022 Mar.

Abstract

Although selection for increased milk production traits has led to a genetic increase in body weight (BW), the genetic gain in milk production has exceeded the gain in BW, so gross feed efficiency has improved. Nonetheless, greater gains may be possible by directly selecting for a measure of feed efficiency. Australia first introduced Feed Saved (FS) estimated breeding value (EBV) in 2015. Feed Saved combines residual feed intake (RFI) genomic EBV and maintenance requirements calculated from mature BW EBV. The FS EBV was designed to enable the selection of cows for reduced energy requirements with similar milk production. In this study, we used a reference population of 3,711 animals in a multivariate analysis including Australian heifers (AUSh), Australian cows (AUSc), and overseas cows (OVEc) to update the Australian EBV for lifetime RFI (i.e., a breeding value that incorporated RFI in growing and lactating cows) and to recalculate the FS EBV in Australian Holstein bulls (AUSb). The estimates of genomic heritabilities using univariate (only AUSc or AUSh) to trivariate (including the OVEc) analyses were similar. Genomic heritabilities for RFI were estimated as 0.18 for AUSc, 0.27 for OVEc, and 0.36 for AUSh. The genomic correlation for RFI between AUSc and AUSh was 0.47 and that between AUSc and OVEc was 0.94, but these estimates were associated with large standard errors (range: 0.18-0.28). The reliability of lifetime RFI (a component of FS) in the trivariate analysis (i.e., including OVEc) increased from 11% to 20% compared with the 2015 model and was greater, by 12%, than in a bivariate analysis in which the reference population included only AUSc and AUSh. By applying the prediction equation of the 2020 model, the average reliability of the FS EBV in 20,816 AUSb that were born between 2010 and 2020 improved from 33% to 43%. Previous selection strategies-that is, using the predecessor of the Balanced Performance Index (Australian Profit Ranking index) that did not include FS-have resulted in an unfavorable genetic trend in FS. However, this unfavorable trend has stabilized since 2015, when FS was included in the Balanced Performance Index, and is expected to move in a favorable direction with selection on Balanced Performance Index or the Health Weighted Index. Doubling the reference population, particularly by incorporating international data for feed efficiency, has improved the reliability of the FS EBV. This could lead to increased genetic gain for feed efficiency in the Australian industry.

摘要

尽管对提高产奶量性状的选择已导致体重(BW)的遗传增加,但产奶量的遗传增益已超过体重增益,因此总饲料效率有所提高。尽管如此,通过直接选择饲料效率指标可能会获得更大的增益。澳大利亚于2015年首次引入节省饲料(FS)估计育种值(EBV)。节省饲料结合了残余采食量(RFI)基因组EBV和根据成熟体重EBV计算的维持需求。FS EBV旨在能够选择产奶量相似但能量需求降低的奶牛。在本研究中,我们在多变量分析中使用了3711头动物的参考群体,包括澳大利亚小母牛(AUSh)、澳大利亚母牛(AUSc)和海外母牛(OVEc),以更新澳大利亚终身RFI的EBV(即一个将生长和泌乳母牛的RFI纳入其中的育种值),并重新计算澳大利亚荷斯坦公牛(AUSb)的FS EBV。使用单变量(仅AUSc或AUSh)到三变量(包括OVEc)分析的基因组遗传力估计值相似。AUSc的RFI基因组遗传力估计为0.18,OVEc为0.27,AUSh为0.36。AUSc和AUSh之间RFI的基因组相关性为0.47,AUSc和OVEc之间为0.94,但这些估计值的标准误差较大(范围:0.18 - 0.28)。与2015年模型相比,三变量分析(即包括OVEc)中终身RFI(FS的一个组成部分)的可靠性从11%提高到了20%,并且比参考群体仅包括AUSc和AUSh的双变量分析高12%。通过应用2020年模型的预测方程,2010年至2020年出生的20816头AUSb中FS EBV的平均可靠性从33%提高到了43%。以前的选择策略,即使用不包括FS的平衡性能指数(澳大利亚利润排名指数)的前身,导致了FS的不利遗传趋势。然而,自2015年FS被纳入平衡性能指数以来,这种不利趋势已经稳定下来,并且预计随着对平衡性能指数或健康加权指数的选择,将朝着有利方向发展。将参考群体翻倍,特别是通过纳入国际饲料效率数据,提高了FS EBV的可靠性。这可能会导致澳大利亚行业饲料效率的遗传增益增加。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/378d/9623723/4095782195c3/fx1.jpg

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验