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肉牛生长曲线参数的遗传和环境因素

Genetic and environmental aspects of the growth curve parameters in beef cows.

作者信息

DeNise R S, Brinks J S

出版信息

J Anim Sci. 1985 Dec;61(6):1431-40. doi: 10.2527/jas1985.6161431x.

Abstract

Brody's growth curve, a three-parameter function, and Richards' function, a four-parameter function, were fit to data from 233 inbred and linecross cows to study the genetic and environmental aspects of the growth curve parameters and to compare the two functions. Fitting Brody's curve was faster and less costly to compute than Richards' function, but Richards' function had smaller sums of squares and a better fit to actual data points. Year of birth had an effect on the A (P less than .05), b (P less than .01) and k (P less than .01) parameters of Brody's curve. Parameter estimates from data of the youngest cows were at the extremes. The b parameter was the largest when estimated from data with no recorded birth weights. Year of birth was also an important effect for the b (P less than .01), k (P less than .05) and m (P less than .01) parameters of Richards' function, but year effects were less interpretable. Mating system affected (P less than .01) the A parameter of both functions; inbreds were lighter than linecrosses at maturity. Line of sire was an important source of variation (P less than .01) for the A parameter of both functions. The heritability estimate of the A parameter from both functions was .44 +/- .27; apparently the same trait in both curves. The estimate for the b parameter from Brody's curve was .39 +/- .27, comparable with literature estimates of birth weight. The heritability estimate for k from Brody's curve was .20 +/- .26. The heritability estimates for b, k and m parameters from Richards' function were .24 +/- .26, .32 +/- .27 and .21 +/- .26, respectively. The genetic correlations between the A and k parameters in both curves indicated that cows with lighter mature weights reached that weight at younger ages.

摘要

将布罗迪生长曲线(一种三参数函数)和理查兹函数(一种四参数函数)拟合到233头近交和杂交奶牛的数据上,以研究生长曲线参数的遗传和环境方面,并比较这两种函数。拟合布罗迪曲线比理查兹函数计算速度更快且成本更低,但理查兹函数的平方和更小,对实际数据点的拟合更好。出生年份对布罗迪曲线的A参数(P<0.05)、b参数(P<0.01)和k参数(P<0.01)有影响。最年轻奶牛数据的参数估计值处于极端情况。当从没有记录出生体重的数据中估计时,b参数最大。出生年份对理查兹函数的b参数(P<0.01)、k参数(P<0.05)和m参数(P<0.01)也是一个重要影响因素,但年份效应较难解释。交配系统对两种函数的A参数都有影响(P<0.01);近交奶牛成熟时比杂交奶牛轻。父系品系是两种函数A参数变异的一个重要来源(P<0.01)。两种函数A参数的遗传力估计值为0.44±0.27;显然两条曲线中的是同一性状。布罗迪曲线b参数的估计值为0.39±0.27,与出生体重的文献估计值相当。布罗迪曲线k参数的遗传力估计值为0.20±0.26。理查兹函数b、k和m参数的遗传力估计值分别为0.24±0.26、0.32±0.27和0.21±0.26。两条曲线中A和k参数之间的遗传相关性表明,成熟体重较轻的奶牛达到该体重的年龄更小。

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