QTL mapping for the cooking time of common beans |
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| Authors: | Robertha Augusta Vasconcelos Garcia Priscila Nascimento Rangel Priscila Zaczuk Bassinello Claudio Brondani Leonardo Cunha Melo Sergio Tadeu Sibov Rosana Pereira Vianello-Brondani |
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| Institution: | 1.School of Agronomy, Samambaia Campus,Federal University of Goias,Goiania,Brazil;2.Embrapa Rice and Beans,Santo Antonio de Goias,Brazil;3.Monsanto of Brazil,Uberlandia,Brazil;4.Biological Institute of Science,Federal University of Goias,Goiania,Brazil |
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| Abstract: | The decrease in the per capita consumption of beans has been partially attributed to their lengthy cooking time and the aggregated capital costs of their preparation. The aim of this study was to map microsatellite (SSR) markers linked to quantitative trait loci (QTLs) that govern the cooking time of common beans. An F2 generation consisting of 140 families was generated from a cross between lines CNFM7875 and Laranja. The cooking time of the F2:4 and F2:5 generations was then evaluated, and the latter generation was tested in two environments. The analysis of variance found a significant effect for the interactions between the families (P < 0.01) in both the F2:4 and F2:5 generations, as well as for the group analyses performed in the two environments. The experimental coefficient of variation varied from 9.42 to 17.94%. The Pearson’s correlation test indicated no significant association between water absorption and cooking time. The heritability coefficients had values of 0.532 and 0.739 for the F2:5 families evaluated at the two different locations, and the group analysis of the F2:5 generation indicated that there was a significant genotype × environment interaction. Of the 105 polymorphic SSRs evaluated, 91 mapped to 12 linkage groups with an estimated map size of 1,303.7 cM. Six significant QTLs were detected in both environments, and the percentage of the phenotypic variation that was explained by these loci ranged from 11.54 to 21.63%. As the genetic control was oligogenic, the identification of QTLs should serve as an optimal starting point for the implementation of a selection program. |
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