Genetic analyses and genomic predictions of root rot resistance in common bean across trials and populations

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dc.creatorDiaz, Lucy Milena
dc.creatorArredondo, Victoria
dc.creatorSuarez, Daniel Ariza
dc.creatorAparicio, Johan Steven
dc.creatorBuendia, Hector Fabio
dc.creatorCajiao V., César Hernando
dc.creatorMosquera, Gloria
dc.creatorBeebe, Stephen E.
dc.creatorMukankusi, Clare
dc.creatorRaatz, Bodo
dc.date2021-03-12
dc.date2021-03-25T16:28:09Z
dc.date2021-03-25T16:28:09Z
dc.date.accessioned2026-06-27T13:25:18Z
dc.descriptionRoot rot in common bean is a disease that causes serious damage to grain production, particularly in the upland areas of Eastern and Central Africa where significant losses occur in susceptible bean varieties. Pythium spp. and Fusarium spp. are among the soil pathogens causing the disease. In this study, a panel of 228 lines, named RR for root rot disease, was developed and evaluated in the greenhouse for Pythium myriotylum and in a root rot naturally infected field trial for plant vigor, number of plants germinated, and seed weight. The results showed positive and significant correlations between greenhouse and field evaluations, as well as high heritability (0.71–0.94) of evaluated traits. In GWAS analysis no consistent significant marker trait associations for root rot disease traits were observed, indicating the absence of major resistance genes. However, genomic prediction accuracy was found to be high for Pythium, plant vigor and related traits. In addition, good predictions of field phenotypes were obtained using the greenhouse derived data as a training population and vice versa. Genomic predictions were evaluated across and within further published data sets on root rots in other panels. Pythium and Fusarium evaluations carried out in Uganda on the Andean Diversity Panel showed good predictive ability for the root rot response in the RR panel. Genomic prediction is shown to be a promising method to estimate tolerance to Pythium, Fusarium and root rot related traits, indicating a quantitative resistance mechanism. Quantitative analyses could be applied to other disease-related traits to capture more genetic diversity with genetic models.
dc.formatapplication/pdf
dc.identifierhttps://hdl.handle.net/10568/113124
dc.identifier.urihttp://hdl.handle.net/123456789/58861
dc.languageen
dc.publisherFrontiers Media
dc.rightsOpen Access
dc.sourceDiaz, L.M.; Arredondo, V.; Suarez, D.A.; Aparicio, J.; Buendia, H.F.; Cajiao, C.; Mosquera, G.; Beebe, S.; Mukankusi, C.; Raatz, B. (2021) Genetic analyses and genomic predictions of root rot resistance in common bean across trials and populations. Frontiers in Plant Science 12: 629221. 15 p. ISSN: 1664-462X
dc.subjectroot rots
dc.subjectgenetic control
dc.subjectdisease control
dc.subjectpodredumbre de la raíz
dc.subjectcontrol genético
dc.subjectcontrol de enfermedades
dc.titleGenetic analyses and genomic predictions of root rot resistance in common bean across trials and populations
dc.typeJournal Article

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