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首页> 外文期刊>Genetics, selection, evolution >Genetic analysis of production, physiological, and egg quality traits in heat-challenged commercial white egg-laying hens using 600k SNP array data
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Genetic analysis of production, physiological, and egg quality traits in heat-challenged commercial white egg-laying hens using 600k SNP array data

机译:采用600K SNP阵列数据的热挑战商用白蛋母鸡母鸡生产,生理学和鸡蛋质量特征的遗传分析

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摘要

Heat stress negatively affects the welfare and production of chickens. High ambient temperature is considered one of the most ubiquitous abiotic environmental challenges to laying hens around the world. In this study, we recorded several production traits, feed intake, body weight, digestibility, and egg quality of 400 commercial white egg-laying hens before and during a 4-week heat treatment. For the phenotypes that had estimated heritabilities (using 600k SNP chip data) higher than 0, SNP associations were tested using the same 600k genotype data. Seventeen phenotypes had heritability estimates higher than 0, including measurements at various time points for feed intake, feed efficiency, body weight, albumen weight, egg quality expressed in Haugh units, egg mass, and also for change in egg mass from prior to heat exposure to various time points during the 4-week heat treatment. Quantitative trait loci (QTL) were identified for 10 of these 17 phenotypes. Some of the phenotypes shared QTL including Haugh units before heat exposure and after 4 weeks of heat treatment. Estimated heritabilities differed from 0 for 17 traits, which indicates that they are under genetic control and that there is potential for improving these traits through selective breeding. The association of different QTL with the same phenotypes before heat exposure and during heat treatment indicates that genomic control of traits under heat stress is distinct from that under thermoneutral conditions. This study contributes to the knowledge on the genomic control of response to heat stress in laying hens.
机译:热应力对鸡的福利和生产产生负面压力。高环境温度被认为是在世界各地铺设母鸡的最无处不在的非生物环境挑战之一。在这项研究中,我们记录了几个生产性状,采食量,体重,消化率和前4周的热处理过程中,400个商业白蛋鸡鸡蛋品质。对于具有高于0的估计遗传性(使用600K SNP芯片数据)的表型,使用相同的600K基因型数据测试SNP关联。十七种表型具有高于0的遗传性估计,包括在进料摄入的各种时间点,饲料效率,体重,蛋白重量,以赫避单位,蛋质量表达的蛋质,以及在热暴露之前改变蛋质质的测量在4周热处理期间的各种时间点。将定量性状基因座(QTL)鉴定出这17种表型中的10个。一些表型共用QTL,包括在热暴露之前和在热处理4周后的Haugh单位。估计的遗传性与17个特征不同,这表明它们受到遗传控制,并且通过选择性育种有可能改善这些特征。在热暴露和热处理期间,不同QTL与相同表型的相关QTL的关联表明,在热应激下的性状下的基因组控制与热源条件下的特异性不同。本研究有助于了解母鸡饲料响应对热应激的响应基因组控制的知识。

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