ArticleThe plant genome2025
QTL detection and genomic prediction for resistance to anthracnose in alfalfa (Medicago sativa).
Article in The plant genome, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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Who cites it
4 citing papers in PubMed.
- Conditionally Significant eQTL and TWAS Analyses Identify MsRD26 as a Major Candidate Positive Regulator of Salt Tolerance in Medicago sativa L.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026Article
- Identification of race-specific QTL and candidate genes for Aphanomyces root rot resistance in alfalfa (Medicago sativa L.).G3 (Bethesda, Md.) · 2026Article
- Phenotypic and genomic insights into alfalfa diversity: Identifying critical loci for enhanced resilience.The plant genome · 2025Article
- QTL detection and genomic prediction for resistance to anthracnose in alfalfa (Medicago sativa).The plant genome · 2025Article
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Authors and funding
8 authors.
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Abstract
Forage production, persistence, and associated ecosystem services provided by the major forage legume, alfalfa (Medicago sativa), may be affected by disease susceptibility. Resistance to anthracnose, caused by Colletotrichum trifolii, has been described as an oligogenic trait, but the precise location of resistance genes on the alfalfa genome is not known. Therefore, we phenotyped a set of 417 alfalfa accessions for anthracnose resistance as the frequency of resistant plants. With available genotyping by sequencing data for 380 accessions from this collection, we performed quantitative trait locus (QTL) detection by genome-wide association study (GWAS) and genomic prediction using a validation set of 97 accessions randomly selected. A wide range of variation for anthracnose resistance was observed, with newer varieties and breeding materials exhibiting greater resistance than old varieties and landraces. Accessions from America showed the highest resistance, although some European accessions also displayed notable resistance. Six QTLs, controlling 58% of the variation, were identified by GWAS. Two major QTLs were found on chromosome 8, within a region already identified in an alfalfa mapping population. Four other QTLs, each controlling less than 5% of the variation, were also found, including one near a major QTL on chromosome 4 in the model species M. truncatula. The predictive ability of our set of accessions was surprisingly high: 85%. These results are promising and highlight the potential of molecular markers and genomic prediction to improve anthracnose resistance in alfalfa breeding programs.
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