首页> 外文期刊>Theoretical and Applied Genetics: International Journal of Breeding Research and Cell Genetics >Identification of quantitative trait loci in rye introgression lines carrying multiple donor chromosome segments
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Identification of quantitative trait loci in rye introgression lines carrying multiple donor chromosome segments

机译:携带多个供体染色体片段的黑麦基因渗入系中数量性状基因座的鉴定

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摘要

Introgression libraries can be used to make favorable genetic variation of exotic donor genotypes available in the genetic background of elite breeding material. Our objective was to employ a combination of the Dunnett test and a linear model analysis to identify favorable donor alleles in introgression lines (ILs) that carry long or multiple donor chromosome segments (DCS). We reanalyzed a dataset of two rye introgression libraries that consisted of ILs carrying on average about four donor segments. After identifying ILs that had a significantly better per se or testcross performance than the recipient line with the Dunnett test, the linear model analysis was in most instances able to clearly identify the donor regions that were responsible for the superior performance. The precise localization of the favorable DCS allowed a detailed analysis of pleiotropic effects and the study of the consistency of effects for per se and testcross performance. We conclude that in many cases the linear model analysis allows the assignment of donor effects to individual DCS even for ILs with long or multiple donor segments. This may considerably increase the efficiency of producing sub-ILs, because only such segments need to be isolated that are known to have a significant effect on the phenotype.
机译:渗入文库可用于使优良育种材料的遗传背景中可利用的外来供体基因型发生有利的遗传变异。我们的目标是利用Dunnett检验和线性模型分析的组合来鉴定渗入系(ILs)中携带较长或多个供体染色体区段(DCS)的有利供体等位基因。我们重新分析了两个黑麦渐渗文库的数据集,这些文库由平均携带约四个供体区段的IL组成。在通过Dunnett检验识别出具有比接受品系显着更好的本质或测试交叉性能的IL后,线性模型分析在大多数情况下都能够清楚地识别出负责卓越性能的供体区域。有利的DCS的精确定位可以对多效性效应进行详细分析,并可以研究其本身和testcross性能的一致性。我们得出的结论是,在许多情况下,线性模型分析允许将供体效应分配给单个DCS,即使对于具有长或多个供体区段的IL也是如此。这可以大大提高产生亚IL的效率,因为仅需要分离已知对表型有显着影响的这些片段。

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