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

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Title Genetic architecture and genomic prediction of cooking time in common bean (Phaseolus vulgaris L.)
 
Creator Díaz, Santiago
Ariza-Suarez, Daniel
Ramdeen, Raisa
Aparicio Arce, Johan Steven
Arunachalam, Nirmala
Hernández Lira, Juan Carlos
Diaz, Harold
Ruíz Guzman, Henry Alonso
Piepho, Hans-Peter
Raatz, Bodo
 
Subject experimental data
datos experimentales
quantitative trait loci
loci de rasgos cuantitativos
genetic control
control genético
 
Description 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.
 
Date 2020-11
2020-11-24T16:34:53Z
2020-11-24T16:34:53Z
 
Type Dataset
 
Identifier 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]
https://hdl.handle.net/10568/110281
https://doi.org/10.7910/DVN/B3YLRF
 
Language en
 
Relation https://dataverse.harvard.edu/dataset.xhtml?persistentId=doi:10.7910/DVN/JR4X4C; https://dataverse.harvard.edu/dataset.xhtml?persistentId=doi:10.7910/DVN/XCD67U
 
Rights CC-BY-4.0
Open Access
 
Publisher International Center for Tropical Agriculture (CIAT)