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随机回归测试日模型描述首次泌乳瓦隆荷斯坦奶牛的产奶量和脂肪酸性状。

Random regression test-day models to describe milk production and fatty acid traits in first lactation Walloon Holstein cows.

机构信息

Department of Animal Sciences, Universidade Federal de Viçosa, Viçosa, Brazil.

Gembloux Agro-Bio Tech, TERRA Teaching and Research Centre, University of Liège, Gembloux, Belgium.

出版信息

J Anim Breed Genet. 2022 Jul;139(4):398-413. doi: 10.1111/jbg.12673. Epub 2022 Feb 24.

Abstract

We investigated the use of different Legendre polynomial orders to estimate genetic parameters for milk production and fatty acid (FA) traits in the first lactation Walloon Holstein cows. The data set comprised 302,684 test-day records of milk yield, fat and protein contents, and FAs generated by mid-infrared (MIR) spectroscopy, C16:0 (palmitic acid), C18:1 cis-9 (oleic acid), LCFAs (long-chain FAs), SFAs (saturated FAs) and UFAs (unsaturated FAs) were studied. The models included random regression coefficients for herd-year of calving (h), additive genetic (a) and permanent environment (p) effects. The selection of the best random regression model (RRM) was based on the deviance information criterion (DIC), and genetic parameters were estimated via a Bayesian approach. For all analysed random effects, DIC values decreased as the order of the Legendre polynomials increased. Best-fit models had fifth-order (degree 4) for the p effect and ranged from second- to fifth-order (degree 1-4) for the a and h effects (LEGhap: LEG555 for milk yield and protein content; LEG335 for fat content and SFA; LEG545 for C16:0 and UFA; and LEG535 for C18:1 cis-9 and LCFA). Based on the best-fit models, an effect of overcorrection was observed in early lactation (5-35 days in milk [DIM]). On the contrary, third-order (LEG333; degree 2) models showed flat residual trajectories throughout lactation. In general, the estimates of genetic variance tended to increase over DIM, for all traits. Heritabilities for milk production traits ranged from 0.11 to 0.58. Milk FA heritabilities ranged from low-to-high magnitude (0.03-0.56). High Spearman correlations (>0.90 for all bulls and >0.97 for top 100) were found among breeding values for 155 and 305 DIM between the best RRM and LEG333 model. Therefore, third-order Legendre polynomials seem to be most parsimonious and sufficient to describe milk production and FA traits in Walloon Holstein cows.

摘要

我们研究了使用不同的勒让德多项式阶数来估计瓦隆荷斯坦奶牛初乳期产奶和脂肪酸(FA)性状的遗传参数。数据集包含了 302684 个产奶量、脂肪和蛋白质含量以及中红外(MIR)光谱分析的 FA 记录,研究了 C16:0(棕榈酸)、C18:1 cis-9(油酸)、LCFAs(长链 FA)、SFAs(饱和 FA)和 UFAs(不饱和 FA)。模型包括 herd-year of calving(h)、加性遗传(a)和永久环境(p)效应的随机回归系数。最佳随机回归模型(RRM)的选择基于偏差信息准则(DIC),遗传参数通过贝叶斯方法进行估计。对于所有分析的随机效应,随着勒让德多项式阶数的增加,DIC 值降低。最佳拟合模型对于 p 效应具有五阶(度 4),对于 a 和 h 效应的阶数范围为二阶至五阶(度 1-4)(LEGhap:LEG555 用于产奶量和蛋白质含量;LEG335 用于脂肪含量和 SFA;LEG545 用于 C16:0 和 UFA;LEG535 用于 C18:1 cis-9 和 LCFA)。基于最佳拟合模型,在早期泌乳期(5-35 天泌乳期[DIM])观察到过度校正的效应。相反,三阶(LEG333;度 2)模型在整个泌乳期表现出平坦的残差轨迹。总体而言,所有性状的遗传方差估计值随着 DIM 的增加而增加。产奶性状的遗传力范围为 0.11 至 0.58。牛奶 FA 的遗传力范围从低到高(0.03-0.56)。在最佳 RRM 和 LEG333 模型之间,155 和 305 DIM 之间的所有公牛和前 100 名公牛的育种值之间发现了高 Spearman 相关性(>0.90 和>0.97)。因此,三阶勒让德多项式似乎是最简约和足够的,以描述瓦隆荷斯坦奶牛的产奶和 FA 性状。

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