Feature engineering of environmental covariates improves plant genomic-enabled prediction

Because Genomic selection (GS) is a predictive methodology, it needs to guarantee high-prediction accuracies for practical implementations. However, since many factors affect the prediction performance of this methodology, its practical implementation still needs to be improved in many breeding prog...

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Bibliographic Details

Published in:	Frontiers in plant science Vol. 15; p. 1349569
Main Authors:	Montesinos-López, Osval A, Crespo-Herrera, Leonardo, Pierre, Carolina Saint, Cano-Paez, Bernabe, Huerta-Prado, Gloria Isabel, Mosqueda-González, Brandon Alejandro, Ramos-Pulido, Sofia, Gerard, Guillermo, Alnowibet, Khalid, Fritsche-Neto, Roberto, Montesinos-López, Abelardo, Crossa, José
Format:	Journal Article
Language:	English
Published:	Switzerland Frontiers Media S.A 15-05-2024
Subjects:	environmental covariates feature engineering feature selection genomic selection plant breeding Plant Science feature engineering genomic selection environmental covariates plant breeding feature selection
Online Access:	Get full text
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