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两个独立奶牛群体(荷兰和美国)中采食量相关性状与体型之间的遗传参数

Genetic parameters between feed-intake-related traits and conformation in 2 separate dairy populations--the Netherlands and United States.

作者信息

Manzanilla-Pech C I V, Veerkamp R F, Tempelman R J, van Pelt M L, Weigel K A, VandeHaar M, Lawlor T J, Spurlock D M, Armentano L E, Staples C R, Hanigan M, De Haas Y

机构信息

Animal Breeding and Genomics Centre, Wageningen UR Livestock Research, PO Box 338, 6700 AH Wageningen, the Netherlands; Animal Breeding and Genomics Centre, Wageningen University, PO Box 338, 6700 AH Wageningen, the Netherlands; Mococha Research Station, National Institute of Forestry, Agriculture and Livestock Research, 97454 Mococha, Yucatan, Mexico.

Animal Breeding and Genomics Centre, Wageningen UR Livestock Research, PO Box 338, 6700 AH Wageningen, the Netherlands; Animal Breeding and Genomics Centre, Wageningen University, PO Box 338, 6700 AH Wageningen, the Netherlands.

出版信息

J Dairy Sci. 2016 Jan;99(1):443-57. doi: 10.3168/jds.2015-9727. Epub 2015 Nov 5.

Abstract

To include feed-intake-related traits in the breeding goal, accurate estimates of genetic parameters of feed intake, and its correlations with other related traits (i.e., production, conformation) are required to compare different options. However, the correlations between feed intake and conformation traits can vary depending on the population. Therefore, the objective was to estimate genetic correlations between 6 feed-intake-related traits and 7 conformation traits within dairy cattle from 2 countries, the Netherlands (NL) and the United States (US). The feed-intake-related traits were dry matter intake (DMI), residual feed intake (RFI), milk energy output (MilkE), milk yield (MY), body weight (BW), and metabolic body weight (MBW). The conformation traits were stature (ST), chest width (CW), body depth (BD), angularity (ANG), rump angle (RA), rump width (RW), and body condition score (BCS). Feed intake data were available for 1,665 cows in NL and for 1,920 cows in US, from 83 nutritional experiments (48 in NL and 35 in US) conducted between 1991 and 2011 in NL and between 2007 and 2013 in US. Additional conformation records from relatives of the animals with DMI records were added to the database, giving a total of 37,241 cows in NL and 28,809 in US with conformation trait information. Genetic parameters were estimated using bivariate animal model analyses. The model included the following fixed effects for feed-intake-related traits: location by experiment-ration, age of cow at calving modeled with a second order polynomial by parity class, location by year-season, and days in milk, and these fixed effects for the conformation traits: herd by classification date, age of cow at classification, and lactation stage at classification. Both models included additive genetic and residual random effects. The highest estimated genetic correlations involving DMI were with CW in both countries (NL=0.45 and US=0.61), followed by ST (NL=0.33 and US=0.57), BD (NL=0.26 and US=0.49), and BCS (NL=0.24 and US=0.46). The MilkE and MY were moderately correlated with ANG in both countries (0.33 and 0.47 in NL, and 0.36 and 0.48 in US). Finally, BW was highly correlated with CW (0.77 in NL and 0.84 in US) and with BCS (0.83 in NL and 0.85 in US). Feed-intake-related traits were moderately to highly genetically correlated with conformation traits (ST, CW, BD, and BCS) in both countries, making them potentially useful as predictors of DMI.

摘要

为了将与采食量相关的性状纳入育种目标,需要准确估计采食量的遗传参数及其与其他相关性状(即生产性能、体型结构)的相关性,以便比较不同的选择方案。然而,采食量与体型结构性状之间的相关性可能因群体而异。因此,本研究的目的是估计来自荷兰(NL)和美国(US)这两个国家的奶牛群体中6个与采食量相关的性状和7个体型结构性状之间的遗传相关性。与采食量相关的性状包括干物质采食量(DMI)、剩余采食量(RFI)、牛奶能量产出(MilkE)、产奶量(MY)、体重(BW)和代谢体重(MBW)。体型结构性状包括体高(ST)、胸宽(CW)、体深(BD)、棱角度(ANG)、臀角(RA)、臀宽(RW)和体况评分(BCS)。在荷兰,1991年至2011年期间进行了83项营养实验(荷兰48项,美国35项),有1665头奶牛的采食量数据;在美国,2007年至2013年期间进行了相关实验,有1920头奶牛的采食量数据。将具有DMI记录的动物亲属的额外体型结构记录添加到数据库中,荷兰共有37241头奶牛、美国共有28809头奶牛有体型结构性状信息。使用二元动物模型分析估计遗传参数。该模型对与采食量相关的性状包括以下固定效应:实验-日粮的地点、按胎次类别用二阶多项式建模的产犊时母牛年龄、年份-季节的地点以及产奶天数;对体型结构性状包括以下固定效应:分类日期的牛群、分类时母牛年龄以及分类时的泌乳阶段。两个模型都包括加性遗传和残差随机效应。在两个国家中,涉及DMI的最高估计遗传相关性均与CW相关(荷兰=0.45,美国=0.61),其次是ST(荷兰=0.33,美国=0.57)、BD(荷兰=0.26,美国=0.49)和BCS(荷兰=0.24,美国=0.46)。在两个国家中,MilkE和MY与ANG的相关性中等(荷兰为0.33和0.47,美国为0.36和0.48)。最后,BW与CW高度相关(荷兰为0.77,美国为0.84),与BCS也高度相关(荷兰为0.83,美国为0.85)。在两个国家中,与采食量相关的性状与体型结构性状(ST、CW、BD和BCS)之间存在中度到高度的遗传相关性,这使得它们有可能作为DMI的预测指标。

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