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Utility Assessment of Published Microsatellite Markers for Fiber Length and Bundle Strength QTL in a Cotton Breeding Program

机译:棉花育种计划中已发布的微卫星标记的纤维长度和束强度QTL的效用评估

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Numerous DNA markers associated with quantitative trait loci (QTL) for cotton (Gossypium spp.) fiber quality traits have been identified in the literature, but there are still significant challenges regarding the use of these QTL in marker-assisted selection. While one of the primary limitations to the application of marker-assisted selection for fiber quality traits has been the inconsistency of markera€“trait associations, more recent studies have reported numerous markera€“trait associations and colocating of QTL in different genetic backgrounds and environments. The objectives of this study were to assess the published microsatellite markers linked to upper-half mean fiber length (UHML) and fiber bundle strength (Str) QTL in different genetic backgrounds and to characterize the utility of stable markera€“trait associations in selection for improved fiber quality within the context of an applied breeding program. Using the results of 32 published QTL mapping studies, six stable markera€“trait associations each for UHML and Str were detected. For each trait, the mean of F3:4 progeny rows that were grouped based on the six marker genotypes was compared with the mean of F3:4 progeny rows that were grouped based on phenotype. In all but one case, the mean UHML and Str of F3:4 progeny rows with the majority of alleles (i.e., four to six alleles) in the desirable state was similar to the mean of F3:4 progeny rows derived from F3 plants in the top 20% for UHML and Str. Our results indicate that, after proper validation, published QTL for UHML and Str could be utilized in selection for improved fiber quality.
机译:文献中已经鉴定出许多与棉花(棉)纤维质量性状的数量性状基因座(QTL)相关的DNA标记,但是在标记辅助选择中使用这些QTL仍然存在重大挑战。虽然标记辅助选择对纤维品质性状的应用的主要限制之一是标记性状关联的不一致性,但最近的研究报道了许多标记性状关联和不同遗传背景和环境中的QTL定位。这项研究的目的是评估在不同遗传背景下与上半平均纤维长度(UHML)和纤维束强度(Str)QTL相关的已发表的微卫星标记,并表征稳定的标记性状关联在选择中的实用性。在应用的育种程序范围内改善了纤维质量。利用32项已发表的QTL作图研究的结果,检测到UHML和Str各自具有六个稳定的标记性状关联。对于每个性状,将根据六个标记基因型分组的F3:4后代行的平均值与根据表型分组的F3:4子行行的平均值进行比较。在除一种情况外的所有情况下,大多数等位基因(即4至6个等位基因)处于期望状态的F3:4后代行的平均UHML和Str与来自F3植物的F3:4后代行的平均值相似UHML和Str排名前20%。我们的结果表明,经过适当的验证,可以使用已发布的U​​HML和StrQ QTL进行选择,以提高纤维质量。

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