ArticleInternational journal of molecular sciences2024
Joint-GWAS, Linkage Mapping, and Transcriptome Analysis to Reveal the Genetic Basis of Plant Architecture-Related Traits in Maize.
Article in International journal of molecular sciences, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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6 citing papers in PubMed, 5 citations in OpenAlex.
- Genome-Wide Association Study of Plant and Ear Height in Maize (Plants (Basel, Switzerland) · 2026Article
- A genome-wide association study unveils the genetic architecture of morphological and biomass partitioning traits in maize under iron-deficient stress.Scientific reports · 2026Article
- Article
- GWAS combined with transcriptomics revealed key regulatory genes for inflorescence traits and fruit set rate in Litchi (Litchi chinensis Sonn.).BMC genomics · 2025Article
- Mining candidate genes for maize plant height based on a GWAS, Meta-QTL, and WGCNA.Frontiers in plant science · 2025Article
- Genome-wide association study identifies novel genes for plant architecture and yield traits in cassava (Frontiers in plant science · 2025Article
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11 authors at 1 institution in 1 country.
Funding
Abstract
Plant architecture is one of the key factors affecting maize yield formation and can be divided into secondary traits, such as plant height (PH), ear height (EH), and leaf number (LN). It is a viable approach for exploiting genetic resources to improve plant density. In this study, one natural panel of 226 inbred lines and 150 family lines derived from the offspring of T32 crossed with Qi319 were genotyped by using the MaizeSNP50 chip and the genotyping by sequence (GBS) method and phenotyped under three different environments. Based on the results, a genome-wide association study (GWAS) and linkage mapping were analyzed by using the MLM and ICIM models, respectively. The results showed that 120 QTNs (quantitative trait nucleotides) and 32 QTL (quantitative trait loci) related to plant architecture were identified, including four QTL and 40 QTNs of PH, eight QTL and 41 QTNs of EH, and 20 QTL and 39 QTNs of LN. One dominant QTL, qLN7-2, was identified in the Zhangye environment. Six QTNs were commonly identified to be related to PH, EH, and LN in different environments. The candidate gene analysis revealed that
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