ArticleBMC genomics2026
GWAS on yield-related traits of Pakistani wheat under post-anthesis heat stress.
Article in BMC genomics, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
9 authors.
Funding
Abstract
Heat stress is a major threat to spring wheat (Triticum aestivum) production in the Indo-Gangetic plains of South Asia, particularly in India and Pakistan. Breeding for heat-tolerant cultivars is an effective strategy to improve wheat productivity in stressed environments. To identify quantitative trait loci (QTL) for heat tolerance, we conducted a genome-wide association study (GWAS) to identify marker-trait associations (MTAs) using single-nucleotide polymorphism (SNP) markers generated via genotyping-by-sequencing (GBS). We evaluated a panel of 184 Pakistani spring wheat accessions for 13 yield-related agronomic traits under induced terminal heat stress. GWAS using the Bayesian information and linkage disequilibrium iteratively nested keyway (BLINK) model identified 295 significant MTAs on all 21 wheat chromosomes. Notably, two QTL intervals (QTL), on chromosomes 3D (5 SNPs) and 5B (3 SNPs), exhibited pleiotropic effects on grain weight (GW) and grain per spike (GPS). In addition, three QTL intervals comprising 9 SNPs on chromosome 7 A, 7 SNPs on 3B, and 4 SNPs on 5 A were significantly associated with the heat susceptibility index (HSI). Furthermore, clusters on chromosome 2B (5 SNPs) and 6B (4 SNPs) were linked to kernel weight reduction (KWR). The identified QTLs and candidate genes associated with HSI and KWR provide valuable genetic resources for fine-mapping and the development of breeder-friendly markers for selecting heat-tolerant wheat cultivars.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.