ArticleFrontiers in plant science2023
Identification of novel candidate loci and genes for seed vigor-related traits in upland cotton (
Article in Frontiers in plant science, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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Who cites it
7 citing papers in PubMed.
- Integrated phylogenomic and transcriptomic analyses reveal GhTZP3 as a key gene regulating flowering time and undergoing artificial selection in upland cotton (Gossypium hirsutum).Functional & integrative genomics · 2026Article
- Genome-wide association study identifies key loci and candidate genes for seed vigor in upland cotton (Frontiers in plant science · 2026Article
- Genome-wide association study reveals novel SNP loci and candidate genes linked to flowering time in upland cotton.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2025Article
- Genome-wide association study reveals significant loci and candidate genes for fruit branch length in upland cotton.The plant genome · 2025Article
- Identification of QTLs for early maturity-related traits based on RIL population of two elite cotton cultivars.BMC plant biology · 2024Article
- Association of GhGeBP genes with fiber quality and early maturity related traits in upland cotton.BMC genomics · 2024Article
- Genome-wide identification and mining elite allele variation of the Monoacylglycerol lipase (MAGL) gene family in upland cotton (Gossypium hirsutum L.).BMC plant biology · 2024Article
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12 authors.
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Abstract
Seed vigor (SV) is a crucial trait determining the quality of crop seeds. Currently, over 80% of China's cotton-planting area is in Xinjiang Province, where a fully mechanized planting model is adopted, accounting for more than 90% of the total fiber production. Therefore, identifying SV-related loci and genes is crucial for improving cotton yield in Xinjiang. In this study, three seed vigor-related traits, including germination potential, germination rate, and germination index, were investigated across three environments in a panel of 355 diverse accessions based on 2,261,854 high-quality single-nucleotide polymorphisms (SNPs). A total of 26 significant SNPs were detected and divided into six quantitative trait locus regions, including 121 predicted candidate genes. By combining gene expression, gene annotation, and haplotype analysis, two novel candidate genes (
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