ArticlePloS one2017
Mapping QTLs for grain yield components in wheat under heat stress.
Article in PloS one, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 41 papers, 1 of them a synthesis that pooled it.
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Who cites it
41 citing papers in PubMed, 1 synthesis or guideline pooled it, 134 citations in OpenAlex.
- Identification of quantitative trait loci (QTL) and meta-QTL analysis for kernel size-related traits in wheat (Triticum aestivum L.).BMC plant biology · 2022Pooled it
- Harnessing genomics approaches for heat stress resilience in wheat: from discovery to deployment.Journal of experimental botany · 2026Review
- Article
- Investigations into genetic control of six spike traits with a focus on breeding for terminal heat stress tolerance in common wheat.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2026Article
- Uncovering yield-related traits loci in Chinese wheat landraces using GWAS.Frontiers in plant science · 2026Article
- MAGIC population-based genetic dissection of yield-related traits under heat stress in wheat (Frontiers in plant science · 2026Article
- Mapping QTLs for yield and related traits in bread wheat under terminal heat stress.The plant genome · 2025Article
- Selection of heat stress tolerant wheat genotypes for desert environments.Scientific reports · 2025Article
- The Genetics and Breeding of Heat Stress Tolerance in Wheat: Advances and Prospects.Plants (Basel, Switzerland) · 2025Review
- Physical map of QTL for eleven agronomic traits across fifteen environments, identification of related candidate genes, and development of KASP markers with emphasis on terminal heat stress tolerance in common wheat.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2024Article
- Identification and validation of two major QTL for grain number per spike on chromosomes 2B and 2D in bread wheat (Triticum aestivum L.).TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2024Article
- Genome-wide association study for seedling heat tolerance under two temperature conditions in bread wheat (Triticum aestivum L.).BMC plant biology · 2024Article
- Genetic insights into superior grain number traits: a QTL analysis of wheat-Agropyron cristatum derivative pubing3228.BMC plant biology · 2024Article
- Heat Stress-Tolerant Quantitative Trait Loci Identified Using Backcrossed Recombinant Inbred Lines Derived from Intra-Specifically DiversePlants (Basel, Switzerland) · 2024Article
- Mapping heat tolerance QTLs inFrontiers in plant science · 2024Article
- Genome-wide association mapping in elite winter wheat breeding for yield improvement.Journal of applied genetics · 2023Article
- Dataset of phenotyping recombinant inbred lines population of wheat under heat stress conditions.Data in brief · 2023Article
- QTL mapping: insights into genomic regions governing component traits of yield under combined heat and drought stress in wheat.Frontiers in genetics · 2023Article
- Reproductive-Stage Heat Stress in Cereals: Impact, Plant Responses and Strategies for Tolerance Improvement.International journal of molecular sciences · 2022Review
- A multi-environment framework to evaluate the adaptation of wheat (Triticum aestivum) to heat stress.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2022Article
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Authors and funding
4 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The current perspective of increasing global temperature makes heat stress as a major threat to wheat production worldwide. In order to identify quantitative trait loci (QTLs) associated with heat tolerance, 251 recombinant inbred lines (RILs) derived from a cross between HD2808 (heat tolerant) and HUW510 (heat susceptible) were evaluated under timely sown (normal) and late sown (heat stress) conditions for two consecutive crop seasons; 2013-14 and 2014-15. Grain yield (GY) and its components namely, grain weight/spike (GWS), grain number/spike (GNS), thousand grain weight (TGW), grain filling rate (GFR) and grain filling duration (GFD) were recorded for both conditions and years. The data collected for both timely and late sown conditions and heat susceptibility index (HSI) of these traits were used as phenotypic data for QTL identification. The frequency distribution of HSI for all the studied traits was continuous during both the years and also included transgressive segregants. Composite interval mapping identified total 24 QTLs viz., 9 (timely sown traits), 6 (late sown traits) and 9 (HSI of traits) mapped on linkage groups 2A, 2B, and 6D during both the crop seasons 2013-14 and 2014-15. The QTLs were detected for GWS (6), GNS (6), GFR (4), TGW (3), GY (3) and GFD (2). The LOD score of identified QTLs varied from 3.03 (Qtgns.iiwbr-6D) to 21.01 (Qhsitgw.iiwbr-2A) during 2014-15, explaining 11.2 and 30.6% phenotypic variance, respectively. Maximum no of QTLs were detected in chromosome 2A followed by 6D and 2B. All the QTL detected under late sown and HSI traits were identified on chromosome 2A except for QTLs associated with GFD. Fifteen out of 17 QTL detected on chromosome 2A were clustered within the marker interval between gwm448 and wmc296 and showed tight linkage with gwm122 and these were localized in 49-52 cM region of Somers consensus map of chromosome 2A i.e. within 18-59.56 cM region of chromosome 2A where no QTL related to heat stress were reported earlier. Besides, three consistent QTLs, Qgws.iiwbr-2A, Qgns.iiwbr-2A and Qgns.iiwbr-2A were also detected in all the environments in this region. The nearest QTL detected in earlier studies, QFv/Fm.cgb-2A was approximately 6cM below the presently identified QTLs region, respectively Additionally, QTLs for physiological and phenological traits and plant height under late sown and HSI of these traits were also detected on chromosome 2A. QTL for HSI of plant height and physiological maturity were located in the same genomic region of chromosome 2Awhereas QTLs for physiological and phonological traits under late sown were located 8cM and 33.5 cM below the genomic location associated with grain traits, respectively in consensus map of Somers. This QTL hot-spot region with consistent QTLs could be used to improve heat tolerance after validation.
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