Replication Data for: Optimizing Genomic-Enabled Prediction: A Feature Weighting Approach for Enhancing within Family Accuracy

Replication Data for: Optimizing Genomic-Enabled Prediction: A Feature Weighting Approach for Enhancing within Family Accuracy

This study provides supplemental data to support the study on Optimizing Genomic-Enabled Prediction: A Feature Weighting Approach for Enhancing within Family Accuracy.

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Bibliographic Details
Main Authors: Montesinos-López, Osval A., Crespo Herrera, Leonardo Abdiel, Xavier, Alencar, Godwa, Manje, Beyene, Yoseph, Saint Pierre, Carolina, De la Rosa-Santamaria, Roberto, Salinas-Ruiz, Josafhat, Gerard, Guillermo, Vitale, Paolo, Dreisigacker, Susanne, Lillemo, Morten, Grignola, Fernando, Sarinelli, Martin, Pozzo, Ezequiel, Quiroga, Marco, Montesinos-López, Abelardo, Crossa, Jose
Other Authors: Shrestha, Rosemary
Format: Experimental data biblioteca
Language:English
Published: CIMMYT Research Data & Software Repository Network 2021
Subjects:Agricultural Sciences, Agricultural research, Maize, Sorghum, Zea mays, Genomic selection, Genomic best linear unbiased predictor, GBLUP,
Online Access:https://hdl.handle.net/11529/10548950
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https://hdl.handle.net/11529/10548950

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