ArticleFrontiers in plant science2025
Mining candidate genes for maize plant height based on a GWAS, Meta-QTL, and WGCNA.
Article in Frontiers in plant science, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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1 citing paper in PubMed.
- Full-length transcriptome analysis identifiesFrontiers in plant science · 2026Article
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5 authors.
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Abstract
Introduction: In maize, plant height (PH) is one of the most important agronomic traits that directly influences planting density and yield. Therefore, identifying candidate genes related to PH will help manipulate maize yield indirectly. Methods: The present research carried out a genome-wide association study (GWAS) of PH using a natural population of 580 maize inbred lines. Further, after collecting the published transcriptome data of maize B73, tissue-specific gene co-expression modules related to PH were generated using weighted gene co-expression network analysis (WGCNA). Furthermore, a meta-analysis of the already reported PH-related quantitative trait loci (QTLs). Results: The integrated analysis of the results based on the different approaches screened three candidate genes:
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