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Effect of pre-weaning selection on estimates of genetic parameters and breeding values for post-weaning growth rate of beef bulls on test

机译:断奶前选择对肉牛断奶后生长率遗传参数和育种值估算值的影响

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摘要

Data on South African Angus cattle consisting of 45 259 records on weaning weight (WWT), 4 360 records on average daily gain from on-farm test (ADG-D) and 1 118 from centralized test (ADG-C) were analyzed to evaluate the effect of pre-weaning selection on estimates of genetic parameters and subsequent estimated breeding values (EBV) for post-weaning average daily gain. (Co)variance components and genetic parameters for weaning weight (WWT), ADG-C and ADG-D were estimated by REML procedures fitting three different animal models. Model 1 was a univariate model of WWT, ADG-C or ADG-D and did not account for the effect of pre-weaning selection on post-weaning ADG. Model 2 was a two-trait model of WWT and either ADG-C or ADG-D. Model 3 was a multi-trait animal model including WWT, ADG-C and ADG-D. Estimates of heritability for ADG-C were 0.39 plus or minus 0.080, 0.42 plus or minus 0.060 and 0.44 plus or minus 0.010 from Model 1, 2 and 3 respectively. Corresponding estimates for ADG-D were 0.18 plus or minus 0.020, 0.19 plus or minus 0.020 and 0.21 plus or minus 0.020 respectively. Rank correlations based on EBVs for ADG-C for all bulls were 0.92, 0.83 and 0.94 for Model 1 vs. Model 2, Model 1 vs. Model 3, and Model 2 vs. Model 3, respectively and they indicated a possible re-ranking of bulls when including or excluding a correlated pre-weaning trait. Rank correlations for ADG-D also followed a similar trend. Inclusion of pre-weaning information in genetic analysis for post-weaning average daily gain is necessary to account for selection at weaning.
机译:对南非安格斯牛的数据进行了分析,包括45 259头断奶体重记录(WWT),4 360头断奶日均增重记录(ADG-D)和1 118头集中化增重记录(ADG-C)进行评估断奶前选择对遗传参数估计值的影响以及对断奶后平均日增重的后续估计育种值(EBV)的影响。断奶体重(WWT),ADG-C和ADG-D的(共)方差成分和遗传参数通过适合三种不同动物模型的REML程序估算。模型1是WWT,ADG-C或ADG-D的单变量模型,没有考虑断奶前选择对断奶后ADG的影响。模型2是WWT和ADG-C或ADG-D的两性模型。模型3是包括WWT,ADG-C和ADG-D的多特征动物模型。 ADG-C的遗传力估计分别来自模型1、2和3,分别为0.39(正负0.080),0.42(正负0.060)和0.44(正负0.010)。 ADG-D的相应估计分别为0.18正负0.020、0.19正负0.020和0.21正负0.020。模型1与模型2,模型1与模型3以及模型2与模型3的基于公牛EBV的所有公牛的排名相关性分别为0.92、0.83和0.94,它们表明可能重新排名。包括或排除相关的断奶前性状的公牛数量。 ADG-D的排名相关性也遵循类似的趋势。为了在断奶时进行选择,有必要将断奶前信息包括在遗传分析中以获取断奶后的平均日增重。

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