ArticleFrontiers in plant science2022
Dynamic Quantitative Trait Loci Mapping for Plant Height in Recombinant Inbred Line Population of Upland Cotton.
Article in Frontiers in plant science, 2022. 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, 12 citations in OpenAlex.
- Integrated Differential Expression Analysis and WGCNA Identify Hub Genes Underlying Cotton Plant Height Development.International journal of molecular sciences · 2026Article
- Dynamic QTL mapping reveals the genetic architecture of stem diameter across developmental stages in foxtail millet.Planta · 2025Article
- Cotton BOP1 mediates SUMOylation of GhBES1 to regulate fibre development and plant architecture.Plant biotechnology journal · 2024Article
- QTL mapping and candidate gene mining of seed size and seed weight in castor plant (Ricinus communis L.).BMC plant biology · 2024Article
- Fine-mapping of a major QTL controlling plant height by BSA-seq and transcriptome sequencing in cotton.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2024Article
- Mapping of dynamic quantitative trait loci for plant height in a RIL population of foxtail millet (Frontiers in plant science · 2024Article
- Dynamic QTL mapping revealed primarily the genetic structure of photosynthetic traits in castor (Ricinus communis L.).Scientific reports · 2023Article
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Authors and funding
15 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Plant height (PH) is a key plant architecture trait for improving the biological productivity of cotton. Ideal PH of cotton is conducive to lodging resistance and mechanized harvesting. To detect quantitative trait loci (QTL) and candidate genes of PH in cotton, a genetic map was constructed with a recombinant inbred line (RIL) population of upland cotton. PH phenotype data under nine environments and three best linear unbiased predictions (BLUPs) were used for QTL analyses. Based on restriction-site-associated DNA sequence (RAD-seq), the genetic map contained 5,850 single-nucleotide polymorphism (SNP) markers, covering 2,747.12 cM with an average genetic distance of 0.47 cM. Thirty-seven unconditional QTL explaining 1.03-12.50% of phenotypic variance, including four major QTL and seven stable QTL, were identified. Twenty-eight conditional QTL explaining 3.27-28.87% of phenotypic variance, including 1 major QTL, were identified. Importantly, five QTL, including 4 stable QTL, were both unconditional and conditional QTL. Among the 60 PH QTL (including 39 newly identified), none of them were involved in the whole period of PH growth, indicating that QTL related to cotton PH development have dynamic expression characteristics. Based on the functional annotation of
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