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首页> 外文期刊>Journal of Animal Science and Technology >Genetic Aspects of the Growth Curve Parameters in Hanwoo Cows
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Genetic Aspects of the Growth Curve Parameters in Hanwoo Cows

机译:Hanwoo奶牛生长曲线参数的遗传方面

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The objective of this study was to estimate genetic variances of growth curve parameters in Hanwoo cows. The data used in this study were records from 1,083 Hanwoo cows raised at Hanwoo Experiment Station, National Livestock Research Institute (NLRI).First evaluation model (Model I) fit year-season of birth and age of dam as fixed effects and second model (Model II) added age at the final weight as a linear covariate to Model I. Heritability estimates of A, b and k from Gompertz model were 0.22, 0.11 and 0.07 using model I and 0.28, 0.11 and 0.12 using model EL Those from Von Bertalanffy model were 0.22, 0.11 and 0.07 using model I , 0.28, 0.11 and 0.12 using model EL Heritability estimates of A, b and k from Logistic model were 0.14, 0.07 and 0.05using model I , 0.18, 0.07 and 0.12 using model EL Heritability estimates of A from Gompertz model were higher than those from Von Bertalanffy model or Logistic model in both model I and model D. Heritability estimates of b from Logistic model were higher thail those from Gompertz model or Von Bertalanffy model in both model I and model El. Heritability estimates of birth weight, weaning weight, 3 month weight, 6 month weight, 9 month weight, 12 month weight, 18 month weight, 24 month weight, 36 monthweight were after linear age adjustment 0.27, 0.11, 0.19, 0.14, 0.16, 0.23, 0.52 and 0.32, respectively. Heritability estimates of birth weight, weaning weight, 3 month weight, 6 month weight, 9 month weight and 24 month weight fit by Gompertz model werelarger than those estimated from linearly adjusted data. Heritability estimates of 12 month weight, 18 month weight and 36 month weight fit by Von Bertalanffy model were larger than those estimated from linearly adjusted data. In the multitrait analysesfor parameters from Gompertz model, genetic and phenotypic correlations between A and k parameters were -0.47 and -0.67 using model I and -0.56 and -0.63 using model El. Those between the A and b parameters were 0.69 and 0.34 using model I and 0.72 and0.37 using model EL Those between the b and k parameters were -0.26 and 0.01 using model I and -0.30 and 0.01 using model EL In the multitrait analyses for parameters from Von Bertalanffy model, genetic and phenotypic correlations between A and k parameters were -0.49 and -0.67 suing model I and -0.57 and -0.70 using model El. Those between the A and b parameters were 0.61 and 0.33 using model I and 0.60 and 0.30 using model EL Those between the b and k parameters were -0.20 and 0.02 using model I and 0.16 and 0.00 using model El. In the multitrait analyses for parameters from Logistic model, genetic and phenotypic correlations between A and k parameters were -0.43 and -0.67 using model I and -0.50 and -0.63 using model EL Those between the A and b parameters were 0.47 and 0.22 using model I and 0.38 and 0.24 using model EL Those between the b and k parameters were-0.09 and 0.02 using model I and -0.02 and 0.13 using model EL.
机译:这项研究的目的是估计Hanwoo奶牛生长曲线参数的遗传方差。本研究使用的数据来自国家畜牧研究所(NLRI)Hanwoo实验站饲养的1,083头Hanwoo奶牛的记录。第一个评估模型(I型)适合大坝出生和年龄的年限作为固定效应,第二个评估模型(I型)适合大坝的出生年份和年龄。模型II)将最终体重增加的年龄作为模型I的线性协变量。使用Gompertz模型得出的A,b和k的遗传力估计值使用模型I得出,分别为0.22、0.11和0.07,使用模型EL得出的遗传力估计值分别为0.28、0.11和0.12(来自冯·贝塔兰菲使用模型I的模型分别为0.22、0.11和0.07,使用模型EL的模型分别为0.28、0.11和0.12,从Logistic模型获得的A,b和k的遗传力估计为0.14、0.07和0.05,使用模型I的模型为0.18、0.07和0.12模型I和模型D中Gompertz模型的A均高于冯·贝塔朗菲模型或Logistic模型。模型I和模型El中,逻辑模型b的遗传力估计均高于Gompertz模型或冯·贝塔兰菲模型。在线性年龄调整后,出生体重,断奶体重,3个月体重,6个月体重,9个月体重,12个月体重,18个月体重,24个月体重,36个月体重的遗传力估算值分别为线性调整后的0.27、0.11、0.19、0.14、0.16,分别为0.23、0.52和0.32。 Gompertz模型对出生体重,断奶体重,3个月体重,6个月体重,9个月体重和24个月体重拟合的遗传力估计值比线性调整数据估计的遗传力估计值大。 Von Bertalanffy模型对12个月体重,18个月体重和36个月体重拟合的遗传力估计值大于根据线性调整数据得出的估计值。在Gompertz模型的参数多特征分析中,使用模型I的A和k参数之间的遗传和表型相关性分别为使用模型I的-0.47和-0.67以及使用模型El的-0.56和-0.63。使用模型I时A和b参数之间的参数分别为0.69和0.34,使用模型EL时b和k参数之间的参数分别为-0.26和0.01,使用模型I时分别为-0.30和0.01,使用模型EL中Von Bertalanffy模型的两个参数,A和k参数之间的遗传和表型相关性,使用模型I分别为-0.49和-0.67,使用模型El分别为-0.57和-0.70。使用模型I,A和b参数之间的参数分别为0.61和0.33;使用模型EL,A和b参数之间的参数分别为-0.20和0.02;使用模型I,b和k参数之间的参数分别为-0.20和0.02,使用模型El分别为0.16和0.00。在Logistic模型参数的多特征分析中,使用模型I时A和k参数之间的遗传和表型相关性使用模型I时分别为-0.43和-0.67,使用模型EL时A和k参数之间的遗传相关性和表型相关性分别使用模型A和b参数之间的遗传和表型相关性分别为0.47和0.22 I和使用模型EL的0.38和0.24在b和k参数之间使用模型I分别为-0.09和0.02,使用模型EL分别为-0.02和0.13。

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