Genomic prediction of agronomic traits in common bean under environmental stress
In this study, we evaluated the accuracy of genomic predictions for agronomic traits in different environments using data of the bean breeding program of the International Center for Tropical Agriculture (CIAT).
Genomic selection offers new possibilities for efficient crop improvement. The ability to predict breeding values based on genotypic data allows to increase the selection intensity and to shorten the breeding cycle. In our study, we estimated the prediction accuracies for four agronomic traits under controlled, drought and low phosphorus conditions based on twelve field trials. Predicted was either the performance of new genotypes in the current season or in future seasons. The outcome of this work will contribute to the implementation of genomic selection in the bean breeding program of the International Center for Tropical Agriculture (CIAT) and was supported by the World Food System Center of ETH Zurich.
Citation:
Keller B, Ariza-Suarez D, De La Hoz J, Aparicio JS, Portilla-Benavides AE, Buendia HF, Mayor VM, Studer B and Raatz B (2020) Genomic prediction of agronomic traits in common bean (Phaseolus vulgaris L.) under environmental stress. Frontiers in Plant Science 11: 1001
external page https://doi.org/10.3389/fpls.2020.01001