ArticleBMC plant biology2025
Genome-wide association study revealed candidate genes associated with leaf size in alfalfa (Medicago sativa L.).
Article in BMC plant biology, 2025. 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.
- Integrating electrical parameters with agronomic, yield, and quality traits for screening superiorPlant signaling & behavior · 2026Article
- Genome-Wide Association Study on Lodging Resistance-Related Traits in Oats.Plants (Basel, Switzerland) · 2026Article
- Genome-wide association study (GWAS) and transcriptome analysis reveal new candidate genes for leaf size in alfalfa.BMC plant biology · 2026Article
- Deciphering the ceRNA Network in Alfalfa: Insights into Cold Stress Tolerance Mechanisms.Biomolecules · 2026Article
- Genetic diversity analysis of sorghum grain traits and development of KASP markers for grain width genes SbTGW3 and SbGS5.BMC plant biology · 2025Article
- Molecular mechanisms underlying leaf enlargement in spaceflight-mutated 'Deqin'alfalfa.BMC genomics · 2025Article
- Analyzing Medicago spp. seed morphology using GWAS and machine learning.Scientific reports · 2024Article
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Authors and funding
8 authors.
Funding
Abstract
backgroundAlfalfa (Medicago sativa L.) is one of the most widely cultivated perennial leguminous forages globally, known for its high yield and quality. Leaf size plays a crucial role in influencing its photosynthetic capacity, forage yield, and quality. Therefore, understanding the genetic factors regulating leaf size is of great importance for breeding new alfalfa varieties with improved yield and quality. In this study, we performed a genome-wide association study on four leaf size-related traits in 176 alfalfa germplasm resources to identify candidate genes associated with leaf size.
resultsPhenotypic analysis revealed varying degrees of variation among the four traits, with coefficients of variation ranging from 3.43 to 36.84%. The broad sense heritability of these traits was found to be between 38.30% and 53.23%. Correlation analysis showed a significant positive correlation among the four traits (P < 0.01). The GWAS identified 39 SNPs associated with leaf size, distributed across eight chromosomes, of which 9 SNPs were linked to multiple traits. Haplotype analysis further confirmed that the number of superior alleles in each material was positively correlated with leaf area. Finally, we identified five genes near these 39 significant SNPs that are associated with leaf size or development.
conclusionOur findings provide new molecular markers for marker-assisted selection in alfalfa breeding programs. Moreover, this study provides a solid foundation for subsequent functional verification and genetic improvement in alfalfa.
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