ArticleBMC plant biology2021
Genome-wide association analysis reveals quantitative trait loci and candidate genes involved in yield components under multiple field environments in cotton (Gossypium hirsutum).
Article in BMC plant biology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.
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17 citing papers in PubMed, 24 citations in OpenAlex.
- Functional Characterization ofPlants (Basel, Switzerland) · 2026Article
- Fine mapping and functional analysis of the candidate gene OFP17, regulating both seed and fruit sizes in cotton.The plant genome · 2026Article
- Development of a Liquid-Phased Probe Array for Upland Cotton and Its Application in Cultivar Identification.Genes · 2025Article
- The National Plant Germplasm System cotton collection-a review of germplasm resources, phenotypic characterization, and genomic variation.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2025Review
- Identification of QTLs associated with grain yield-related traits of spring barley.BMC plant biology · 2025Article
- Article
- Unraveling key genes and pathways involved in Verticillium wilt resistance by integrative GWAS and transcriptomic approaches in Upland cotton.Functional & integrative genomics · 2025Article
- Identification of QTNs and Their Candidate Genes for Boll Number and Boll Weight in Upland Cotton.Genes · 2024Article
- Quantitative genomics-enabled selection for simultaneous improvement of lint yield and seed traits in cotton (Gossypium hirsutum L.).TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2024Article
- Article
- Lint percentage and boll weight QTLs in three excellent upland cotton (Gossypium hirsutum): ZR014121, CCRI60, and EZ60.BMC plant biology · 2023Article
- Genome-wide association study of fiber yield-related traits uncovers the novel genomic regions and candidate genes in Indian upland cotton (Frontiers in plant science · 2023Article
- SSR-based genome-wide association study in turkish durum wheat germplasms revealed novel QTL of accumulated platinum.Molecular biology reports · 2022Article
- Genome-wide association study identifies candidate genes and favorable haplotypes for seed yield inMolecular breeding : new strategies in plant improvement · 2022Article
- Status and prospects of genome-wide association studies in cotton.Frontiers in plant science · 2022Review
- Detection of Stable Elite Haplotypes and Potential Candidate Genes of Boll Weight Across Multiple Environments via GWAS in Upland Cotton.Frontiers in plant science · 2022Article
- Inheritance, QTLs, and Candidate Genes of Lint Percentage in Upland Cotton.Frontiers in genetics · 2022Review
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7 authors at 2 institutions in 1 country.
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No grant is acknowledged in the PubMed record.
Abstract
backgroundNumerous quantitative trait loci (QTLs) and candidate genes associated with yield-related traits have been identified in cotton by genome-wide association study (GWAS) analysis. However, most of the phenotypic data were from a single or few environments, and the stable loci remained to be validated under multiple field environments.
resultsHere, 242 upland cotton accessions collected from different origins were continuously investigated for phenotypic data of four main yield components, including boll weight (BW) and lint percentage (LP) under 13 field environments, and boll number per plant (BN) and seed index (SI) under 11 environments. Correlation analysis revealed a positive correlation between BN and LP, BW and SI, while SI had a negative correlation with LP and BN. Genetic analysis indicated that LP had the highest heritability estimates of 94.97%, followed by 92.08% for SI, 86.09% for BW, and 72.92% for BN, indicating LP and SI were more suitable traits for genetic improvement. Based on 56,010 high-quality single nucleotide polymorphisms (SNPs) and GWAS analysis, a total of 95 non-redundant QTLs were identified, including 12 of BN, 23 of BW, 45 of LP, and 33 of SI, respectively. Of them, 10 pairs of homologous QTLs were detected between A and D sub-genomes. We also found that 15 co-located QTLs with more than two traits and 12 high-confidence QTLs were detected under more than six environments, respectively. Further, two NET genes (GH_A08G0716 and GH_A08G0783), located in a novel QTL hotspot (qtl24, qtl25 and qlt26) were predominately expressed in early fiber development stages, exhibited significant correlation with LP and SI. The GH_A07G1389 in the stable qtl19 region encoded a tetratricopeptide repeat (TPR)-like superfamily protein and was a homologous gene involved in short fiber mutant ligon lintless-y (Li
conclusionsThe present study provides a foundation for understanding the regulatory mechanisms of yield components and may enhance yield improvement through molecular breeding in cotton.
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