The effects of different farm environments on the performance of Texel sheep.

The effects of different farm environments on the performance of Texel sheep.
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不同农场环境对特克塞尔羊生产性能的影响。

DOI:
10.1017/s1751731115001123
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发表时间:
2015
期刊:
an international journal of animal bioscience
影响因子:
--
通讯作者:
McLaren A
McLaren A
中科院分区:
--
文献类型:
--
作者:
McLaren A

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为了通过环境相互作用(G×E)和绵羊养殖场系统的环境敏感性来评估基因型的程度,必须确定和量化环境因素,然后才能研究与感兴趣性状的关系。本研究的目的是开发一个农场环境(FE)量表,使用典型相关分析,然后可以用于线性反应范数模型。从英国39个特塞尔鸡群样本中收集的精细农场调查数据与国家一级的现有信息相结合。农场调查数据包括畜群规模和精料饲料使用信息。国家数据包括21周龄体重(21WT)的平均鸡群性能,超声背膘(UFD)和肌肉(UMD)深度,以及区域气候数据。然后将开发的FE量表与1990年至2011年间494个不同Texel羊群中出生的羔羊的181 555 (21WT), 175 399 (UMD)和175 279 (UFD)记录相结合,以预测种群中使用的羔羊的反应标准。通过FE量表估计的一系列遗传敏感性证实了遗传变异的存在,因为观察到“可塑性”和“健壮性”基因型。遗传率估计的变化也被观察到,表明遗传进展的速度取决于环境。总的来说,本研究中使用的技术和方法已被证明在确定绵羊FEs方面是有用的。利用反应规范模型对21WT、UMD和UFD的观察结果表明,为了提高遗传增益和群体效率,考虑G×E的观察结果将有利于未来的遗传评价。
In order to assess the extent of genotype by environment interactions (G×E) and environmental sensitivity in sheep farm systems, environmental factors must be identified and quantified, after which the relationship with the traits(s) of interest can be investigated. The objectives of this study were to develop a farm environment (FE) scale, using a canonical correlation analysis, which could then be used in linear reaction norm models. Fine-scale farm survey data, collected from a sample of 39 Texel flocks across the United Kingdom, was combined with information available at the national level. The farm survey data included information on flock size and concentrate feed use. National data included flock performance averages for 21-week-old weight (21WT), ultrasound back-fat (UFD) and muscle (UMD) depths, as well as regional climatic data. The FE scale developed was then combined with 181 555 (21WT), 175 399 (UMD) and 175 279 (UFD) records from lambs born between 1990 and 2011, on 494 different Texel flocks, to predict reaction norms for sires used within the population. A range of sire sensitivities estimated across the FE scale confirmed the presence of genetic variability as both ‘plastic’ and ‘robust’ genotypes were observed. Variations in heritability estimates were also observed indicating that the rate genetic progress was dependent on the environment. Overall, the techniques and approaches used in this study have proven to be useful in defining sheep FEs. The results observed for 21WT, UMD and UFD, using the reaction norm models, indicate that in order to improve genetic gain and flock efficiency, future genetic evaluations would benefit by accounting for the G×E observed.
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