Mining the stable quantitative trait loci for agronomic traits in wheat (Triticum aestivum L.) based on an introgression line population

Mining the stable quantitative trait loci for agronomic traits in wheat (Triticum aestivum L.) based on an introgression line population

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Abstract Background Human demand for wheat will continue to increase together with the continuous global population growth.Agronomic traits in wheat are susceptible to environmental conditions.Therefore, in breeding practice, priority is given to QTLs of agronomic traits that can be stably detected across multiple environments and over many years.Results In this study, QTL analysis was conducted for eight agronomic traits using an introgression line population across eight environments (drought stressed and well-watered) for 5 years.

In total, 44 additive Sneakers for Men - Grey - Canvas Mesh Athletic Running Shoes QTLs for the above agronomic traits were detected on 15 chromosomes.Among these, qPH-6A, qHD-1A, qSL-2A, qHD-2D and qSL-6A were detected across seven, six, five, five and four environments, respectively.The means in the phenotypic variation explained by these five QTLs were 12.26, 9.

51, 7.77, 7.23, and 8.49%, respectively.

Conclusions We identified five stable QTLs, which includes read more qPH-6A, qHD-1A, qSL-2A, qHD-2D and qSL-6A.They play a critical role in wheat agronomic traits.One of the dwarf genes Rht14, Rht16, Rht18 and Rht25 on chromosome 6A might be the candidate gene for qPH-6A.The qHD-1A and qHD-2D were novel stable QTLs for heading date and they differed from known vernalization genes, photoperiod genes and earliness per se genes.