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首页> 外文期刊>Czech Journal of Animal Science >Bayesian Inference of Genetic Parameters for Reproductive and Performance Traits in White Leghorn Hens
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Bayesian Inference of Genetic Parameters for Reproductive and Performance Traits in White Leghorn Hens

机译:白勒科恩母鸡生殖与性能性状的贝叶斯遗传参数推断

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摘要

This study estimated the genetic parameters for reproductive and performance traits and determined which ones can be used as selection criteria for egg production in laying hens using the Bayesian inference. The data of 1894 animals from three generations of White Leghorn laying hens were analyzed for fertility (FERT), hatchability (HATC), and birth rate measurements at 60 weeks of age (BIRTH), body weight at 16 and 60 weeks of age (BW16 and BW60), age at sexual maturity (ASM), egg height/width ratio, weight, and density at 28, 36, and 40 weeks of age (RHW28, RHW36, RHW40, WEGG28, WEGG36, WEGG40, DENS28, DENS36, and DENS40, respectively) traits. The genetic parameters were estimated by the Bayesian inference method of multi-trait animal model. The model included the additive and residual genetic random effects and the fixed effects of generation. The a posteriori mean distributions of the heritability estimates for reproductive traits ranged from 0.14 +/- 0.003 (HATC) to 0.22 +/- 0.005 (FERT) and performance from 0.07 +/- 0.001 (RHW28) to 0.42 +/- 0.001 (WEGG40). The a posteriori mean distributions of the genetic correlation between reproductive traits ranged from 0.18 +/- 0.026 (FERT and HACT) to 0.79 +/- 0.007 (FERT and BIRTH) and those related to performance ranged from -0.49 +/- 0.001 (WEGG36 and DENS36) to 0.75 +/- 0.003 (DENS28 and DENS36). Reproductive and performance traits showed enough additive genetic variability to respond to selection, except for RHW28. This trait alone would have little impact on the genetic gain because environmental factors would have a higher impact compared to those from the additive genetic factors. Based on the results of this study, the selection applied on the BIRTH trait can be indicated to improve FERT and HATC of eggs. Furthermore, the use of the WEGG40 could improve egg quality in this population.
机译:本研究估计生殖和性能性状遗传参数和确定哪些可以在使用贝叶斯推断蛋鸡被用作选择标准产蛋量。 1894年动物从白来航的三代蛋鸡的数据进行了分析生育率(叔),孵化率(HATC),以及出生率的测量在16 60周的年龄(出生),体重和60周龄(BW16和BW60),年龄在性成熟(ASM),鸡蛋高/宽比,重量和密度在28,36和40周龄(RHW28,RHW36,RHW40,WEGG28,WEGG36,WEGG40,DENS28,DENS36,和DENS40,分别)的特点。遗传参数是通过多性状的动物模型的贝叶斯推理法估计。该模型包括所述添加剂和残余遗传随机效应而产生的固定效果。遗传估计生殖性状的后验均值分布从0.14 +/- 0.003(HATC)介于0.22 +/- 0.005(叔)和性能从0.07 +/- 0.001(RHW28)0.42 +/- 0.001(WEGG40 )。生殖性状的遗传相关的后验均值分布从0.18 +/- 0.026(叔和HACT)介于0.79 +/- 0.007(叔和出生)和相关的那些性能从-0.49 +/- 0.001(范围WEGG36和DENS36)至0.75 +/- 0.003(DENS28和DENS36)。生殖和性能特征表现出了足够的添加剂遗传变异以应对选择,除了RHW28。仅此特质会对遗传增益的影响不大,因为环境因素会比那些从添加剂遗传因素有更大的影响。在此基础上研究的结果,对应用的诞生性状的选择可以表明,以提高化肥和鸡蛋HATC。此外,使用WEGG40的能提高在这个人口卵子的质量。

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