QTL mapping of terminal heat tolerance in hexaploid wheat (T. aestivum L.)
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High temperature (>30 °C) at the time of grain filling is one of the major causes of yield reduction in wheat in many parts of the world, especially in tropical countries. To identify quantitative trait loci (QTL) for heat tolerance under terminal heat stress, a set of 148 recombinant inbred lines was developed by crossing a heat-tolerant hexaploid wheat (Triticum aestivum L.) cultivar (NW1014) and a heat-susceptible (HUW468) cultivar. The F5, F6, and F7 generations were evaluated in two different sowing dates under field conditions for 2 years. Using the trait values from controlled and stressed trials, four different traits (1) heat susceptibility index (HSI) of thousand grain weight (HSITGW); (2) HSI of grain fill duration (HSIGFD); (3) HSI of grain yield (HSIYLD); and (4) canopy temperature depression (CTD) were used to determine heat tolerance. Days to maturity was also investigated. A linkage map comprising 160 simple sequence repeat markers was prepared covering the whole genome of wheat. Using composite interval mapping, significant genomic regions on 2B, 7B and 7D were found to be associated with heat tolerance. Of these, two (2B and 7B) were co-localized QTL and explained more than 15 % phenotypic variation for HSITGW, HSIGFD and CTD. In pooled analysis over three trials, QTL explained phenotypic variation ranging from 9.78 to 20.34 %. No QTL × trial interaction was detected for the identified QTL. The three major QTL obtained can be used in marker-assisted selection for heat stress in wheat.
KeywordsQuantitative Trait Locus Heat Stress Quantitative Trait Locus Analysis Heat Tolerance Quantitative Trait Locus Region
Molecular mapping part of this research was supported by the DAAD Leibniz (German Academic Exchange Service) fellowship granted to R. Paliwal. We gratefully acknowledge the off-season facility provided by IARI Regional Station, Wellington, Tamil Nadu, India. The authors are thankful to Munna Lal, Anette Heber, and Sonja Allner for their excellent technical assistance. Help rendered by Dr. B. Arun, Banaras Hindu University, in field experimentation and R.R. Mir, ICRISAT (Hyderabad, India) in the analysis of data is gratefully acknowledged. We thank three anonymous reviewers for making useful suggestions that improved the quality of the article.
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