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首页> 外文期刊>Poultry Science >Estimates of genetic parameters, and cluster and principal components analyses of breeding values related to egg production traits in a White Leghorn population
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Estimates of genetic parameters, and cluster and principal components analyses of breeding values related to egg production traits in a White Leghorn population

机译：白来亨鸡种群遗传参数估计值以及与产卵性状有关的育种值的聚类和主成分分析

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The objectives of this paper were to identify the phenotypic egg-laying patterns in a White Leghorn line mainly selected for egg production, to estimate genetic parameters of traits related to egg production and to evaluate the genetic association between these by principal components analysis to identify trait(s) that could be used as selection criteria to improve egg production. Records of 54 wk of egg production from a White Leghorn population were used. The data set contained records of the length: width ratio of eggs at 32, 37, and 40 wk of age; egg weight at 32, 37, and 40 wk of age; BW at 54 and 62 wk of age; age at first egg; early partial egg production rate from 17 to 30 wk and from 17 to 40 wk of age; late partial egg production rate from 30 to 70 wk and from 40 to 70 wk of age; and total egg production rate (TEP). The estimates of genetic parameters between these traits were estimated by the restricted maximum likelihood method. Multivariate analyses were performed: a hierarchical cluster analysis, a nonhierarchical clustering analysis by the k-means method of weekly egg production rate to describe the egg-laying patterns of hens, and a principal components analysis using the breeding values of all traits. The highest heritability estimates were obtained for BW at 54 wk of age (0.68 +/- 0.07) and age at first egg (0.53 +/- 0.07). It is recommended that a preliminary clustering analysis be performed to obtain the population structure that takes into account the pattern of egg production, rather than the TEP, because hens may have the same final egg production with different patterns of egg laying. Early partial production periods were not good indicators for use in improving total egg production because these traits presented an overestimated genetic correlation with TEP because of the part-whole genetic correlation component. Egg production might be improved by selecting individuals based on TEP.
机译：本文的目的是在主要用于产蛋的白色来亨鸡品系中鉴定表型产卵模式，估计与产蛋相关性状的遗传参数，并通过主成分分析鉴定性状来评估它们之间的遗传关联。 （s）可以用作提高产蛋量的选择标准。使用了来自白色来亨鸡种群的54周产卵的记录。数据集包含年龄在32、37和40周龄的卵的长宽比记录;在32、37和40周龄时的蛋重;体重分别为54岁和62周;初熟年龄17至30周和17至40周龄的早期部分产蛋率; 30-70 wk和40至70 wk年龄的晚期部分产蛋率;和总产蛋率（TEP）。这些特征之间的遗传参数的估计是通过限制最大似然法估计的。进行了多变量分析：层次聚类分析，通过每周产蛋率的k-means方法进行非层次聚类分析以描述母鸡的产蛋模式，并使用所有性状的育种值进行主成分分析。对于BW，在54周龄（0.68 +/- 0.07）和第一个卵龄（0.53 +/- 0.07）时获得了最高的遗传力估计值。建议进行初步的聚类分析，以获得考虑到产蛋模式而不是TEP的种群结构，因为母鸡的最终产蛋量可能相同，但产蛋模式不同。早期的部分生产时期不是用于提高总蛋产量的良好指标，因为由于部分-全部遗传相关性，这些性状与TEP的遗传相关性被高估了。通过基于TEP选择个体可以提高产蛋量。

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