ArticleFrontiers in genetics2023
QTL mapping: insights into genomic regions governing component traits of yield under combined heat and drought stress in wheat.
Article in Frontiers in genetics, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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9 citing papers in PubMed.
- Genomics, Multi-Omics, and Emerging Artificial Intelligence for Combined Drought-Heat Stress Resilience in Plants: A Structured Narrative Review.Plants (Basel, Switzerland) · 2026Review
- Review
- 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
- Selection of heat stress tolerant wheat genotypes for desert environments.Scientific reports · 2025Article
- Integration of multi-omics data and deep phenotyping provides insights into responses to single and combined abiotic stress in potato.Plant physiology · 2025Article
- Enhancing wheat resilience: biotechnological advances in combating heat stress and environmental challenges.Plant molecular biology · 2025Review
- Identification of candidate genes for drought tolerance in soybean through QTL mapping and gene expression analysis.Frontiers in genetics · 2025Article
- Genome-wide association study for seedling heat tolerance under two temperature conditions in bread wheat (Triticum aestivum L.).BMC plant biology · 2024Article
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Authors and funding
11 authors.
Funding
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Abstract
Drought and heat frequently co-occur during crop growth leading to devastating yield loss. The knowledge of the genetic loci governing component traits of yield under combined drought and heat stress is essential for enhancing the climate resilience. The present study employed a mapping population of 180 recombinant inbred lines (RILs) derived from a cross between GW322 and KAUZ to identify quantitative trait loci (QTLs) governing the component traits of yield under heat and combined stress conditions. Phenotypic evaluation was conducted across two consecutive crop seasons (2021-2022 and 2022-2023) under late sown irrigation (LSIR) and late sown restricted irrigation (LSRI) conditions at the Indian Council of Agricultural Research Institute-Indian Agricultural Research Institute (ICAR-IARI), New Delhi. Various physiological and agronomic traits of importance were measured. Genotyping was carried out with 35K SNP Axiom breeder's genotyping array. The linkage map spanned a length of 6769.45 cM, ranging from 2.28 cM/marker in 1A to 14.21 cM/marker in 5D. A total of 35 QTLs were identified across 14 chromosomes with 6B containing the highest (seven) number of QTLs. Out of 35 QTLs, 16 were major QTLs explaining the phenotypic variance greater than 10%. The study identified eight stable QTLs along with two hotspots on chromosomes 6B and 5B. Five QTLs associated with traits thousand-grain weight (TGW), normalized difference vegetation index (NDVI), and plant height (PH) were successfully validated. Candidate genes encoding antioxidant enzymes, transcription factors, and growth-related proteins were identified in the QTL regions.
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