Genetic architecture and genomic prediction of cooking time in common bean (Phaseolus vulgaris L.)

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Diaz, S.; Ariza-Suarez, D.; Ramdeen, R.; Aparicio Arce, J.S.; Arunachalam, N.; Hernandez Lira, J.C.; Diaz, H.; Ruiz Guzman, H.A.; Piepho, H.P.; Raatz, B., (2020) Genetic architecture and genomic prediction of cooking time in common bean (Phaseolus vulgaris L.). https://doi.org/10.7910/DVN/B3YLRF, Harvard Dataverse, V1, UNF:6:Zhk8LSztbd3+OfcV1gnNyQ== [fileUNF]

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These datasets contain phenotypic and genotypic data of a MAGIC population, DOR364 x G19833 biparental population, VEF panel and MIP panel. The main goal for these populations is to be used for genetic analysis and applications in breeding and breeding tool development, as well as information for basic research questions aiming to uncover the genetic basis of seed quality traits. The raw phenotypic data come from trials carried out in Palmira (Colombia). The trials were laid out in the field with an alpha-lattice experimental design in 2011, 2013, 2017 and 2019. Three trails were assessed: Cooking time (CKT), Water absorption capacity (WAC) and seed weight (SdW). The agronomic performance of the population was modeled using linear mixed models. From these models, best linear unbiased predictors were obtained (BLUPs). The genotypic datasets include a variant call format (VCF) file from MAGIC population, VEF panel and MIP panel.

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Diaz, Santiago, Daniel Ariza-Suarez, Paulo Izquierdo, Juan David Lobaton, Juan Fernando De La Hoz, Fernando Acevedo, Jorge Duitama, et al. 2020. “Genetic Mapping for Agronomic Traits in a MAGIC Population of Common Bean (Phaseolus Vulgaris L.) under Drought Conditions.” BMC Genomics In press.; Keller, Beat, Ariza-Suarez D, de la Hoz J, Aparicio JS, Portilla-Benavides AE, Buendia HF, Mayor VM, Struder B and Raatz B. 2020. "Genomic Prediction of Agronomic Traits in Common Bean (Phaseolus vulgaris L.) Under Environmental Stress." Front. Plant Sci. 11:1001 https://doi.org/10.3389/fpls2020.01001