Mapping of the quantitative trait loci (QTL) for bread making quality and agronomic traits in spring wheat under heat stress


General Information

12-BIO2675-02

Mapping of the quantitative trait loci (QTL) for bread making quality and agronomic traits in spring wheat under heat stress

Biotechnology

Bioinformatics

Heat is a major abiotic stress factor that affects wheat (Triticum aestivum L.) production in many regions of the world. Heat stress caused by increased temperature is an agricultural problem in Saudi Arabia that significantly affects wheat quality and yield components. The bread making quality of wheat and its yield components depend on a complex set of traits influenced by a number of environmental, genetic, and biochemical factors. Improving yield components and bread making quality, especially under heat stress, is difficult because they are complex traits controlled by many genes and are significantly influenced by environmental factors. However, with the advent of molecular markers, a new approach to dissecting complex traits using quantitative trait locus (QTL) analysis has become available. Identifying QTLs that control important traits such as quality and yield components in spring wheat under heat stress may help develop cultivars that are improved for those traits. Our main objective is to identify QTLs affecting quality and agronomic traits under heat stress. Two doubled haploid (DH) populations (Yecora Rojo X Ksu106 and Klasic X Ksu105) will be used in this study. The populations were derived from crosses between high- quality, heat-sensitive wheat cultivars (Yecora Rojo and Klasic) and two adapted Saudi wheat lines (KSU106 and KSU105) having poor bread making quality, high heat tolerance and high yield potential. Field experiments for agronomic and quality traits evaluation will be conducted in two locations. The first location is at the Experimental Research Station, Food and Agriculture Sciences, King Saud University, Riyadh, Saudi Arabia. The second location is at the Experimental Research Station, Faculty of Agriculture and Veterinary Medicine, Al-Qassim University, Saudi Arabia. Microsatellite (SSR) and single nucleotide polymorphism (SNP) methods will be used to determine the number of QTLs controlling the important agronomic and quality traits under heat stress and map them to their genomic positions. In addition, QTL analysis will be conducted to determine the location and size of QTLs and their stability across environments.

1. QTL mapping for agronomic traits 2. QTL mapping for quality traits 3. Correlations among agronomic and quality traits 4. Determination of the location and size of QTL and their stability across environments

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