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Evaluation of egg production in layers using random regression models

机译：使用随机回归模型评估蛋的产蛋量

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The objectives of this study were to estimate genetic parameters for egg production over the age trajectory in 3 layer lines, which represent different biotypes for egg production, and to validate the use of breeding values for slope as a measure of persistency to be used in the selection program. Egg production of more than 26,000 layers per line from 6 consecutive generations were analyzed with a random regression model with a within-hatch-nested fifth-order fixed-regression polynomial and linear polynomials for random additive genetic and permanent environmental effects. Daily records were cumulated into biweekly periods. In all lines, a nonzero genetic variance for mean and slope and a positive genetic correlation between mean and slope were estimated. Genetic variance of egg production by 2-wk period was low at the beginning of lay and increased as the birds aged for all 3 lines, which resulted in heritability estimates increasing with age. Breeding values for slope reflected the shape of the egg production curve well and can be used to directly select for persistency of egg production.
机译：这项研究的目的是在3层线中评估年龄轨迹上产蛋的遗传参数，这些参数代表产卵的不同生物类型，并验证使用育种值作为坡度的持久性度量。选择程序。使用随机孵化模型分析了连续连续6代每行超过26,000层蛋的产蛋量，该模型具有孵化内嵌套的五阶固定回归多项式和线性多项式，可用于随机累加的遗传和永久环境影响。每日记录累计为每两周一次。在所有品系中，均值和斜率的非零遗传方差以及均值和斜率之间的正遗传相关性被估计。产蛋开始到两周期间的产蛋遗传变异性较低，并且随着所有3个品系的鸡龄的增长而增加，这导致遗传力估计值随年龄增加而增加。斜率的育种值很好地反映了产蛋曲线的形状，可用于直接选择产蛋的持久性。

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