Development of a QTL-environment-based predictive model for node addition rate in common bean

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dc.creatorZhang, Li
dc.creatorGezan, Salvador A.
dc.creatorVallejos, C. Eduardo
dc.creatorJones, James W.
dc.creatorBoote, Kenneth J.
dc.creatorClavijo Michelangeli, José A.
dc.creatorBhakta, Mehul S.
dc.creatorOsorno, Juan M.
dc.creatorRao, Idupulapati M.
dc.creatorBeebe, Stephen E.
dc.creatorRoman Paoli, Elvin O.
dc.creatorGonzález, Abiezer
dc.creatorBeaver, James S.
dc.creatorRicaurte Oyola, José Jaumer
dc.creatorColbert, Raphael
dc.creatorCorrell, Melanie J.
dc.date2017-05
dc.date2017-03-28T13:09:29Z
dc.date2017-03-28T13:09:29Z
dc.date.accessioned2026-06-27T14:45:19Z
dc.descriptionTo select a plant genotype that will thrive in targeted environments it is critical to understand the genotype by environment interaction (GEI). In this study, multi-environment QTL analysis was used to characterize node addition rate (NAR, node day− 1) on the main stem of the common bean (Phaseolus vulgaris L). This analysis was carried out with field data of 171 recombinant inbred lines that were grown at five sites (Florida, Puerto Rico, 2 sites in Colombia, and North Dakota). Four QTLs (Nar1, Nar2, Nar3 and Nar4) were identified, one of which had significant QTL by environment interactions (QEI), that is, Nar2 with temperature. Temperature was identified as the main environmental factor affecting NAR while day length and solar radiation played a minor role. Integration of sites as covariates into a QTL mixed site-effect model, and further replacing the site component with explanatory environmental covariates (i.e., temperature, day length and solar radiation) yielded a model that explained 73% of the phenotypic variation for NAR with root mean square error of 16.25% of the mean. The QTL consistency and stability was examined through a tenfold cross validation with different sets of genotypes and these four QTLs were always detected with 50–90% probability. The final model was evaluated using leave-one-site-out method to assess the influence of site on node addition rate. These analyses provided a quantitative measure of the effects on NAR of common beans exerted by the genetic makeup, the environment and their interactions.
dc.formatapplication/pdf
dc.identifierhttps://hdl.handle.net/10568/80542
dc.identifier.urihttp://hdl.handle.net/123456789/87501
dc.languageen
dc.publisherSpringer
dc.rightsOpen Access
dc.sourceZhang, Li; Gezan, Salvador A.; Vallejos, C. Eduardo; Jones, James W.; Boote, Kenneth J.; Clavijo-Michelangeli, Jose A.; Bhakta, Mehul; Osorno, Juan M.; Rao, Idupulapati; Beebe, Stephen; Roman-Paoli, Elvin; Gonzalez, Abiezer; Beaver, James; Ricaurte, Jaumer; Colbert, Raphael; Correll, Melanie J.. 2017. Development of a QTL-environment-based predictive model for node addition rate in common bean. Theoretical and Applied Genetics . 130(5): 1065-1079.
dc.subjectphaseolus vulgaris
dc.subjectquantitative trait loci
dc.subjectgenetic markers
dc.subjectenvironment factors
dc.subjectphenotypes
dc.subjectloci de rasgos cuantitativos
dc.subjectmarcadores genéticos
dc.subjectfactores ambientales
dc.titleDevelopment of a QTL-environment-based predictive model for node addition rate in common bean
dc.typeJournal Article

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Centro Internacional de Agricultura Tropical (CIAT)