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Montesinos-López, O A and Montesinos-López, J C and Montesinos-Lopez, A and Ramírez-Alcaraz, J M and Poland, J and Singh, R and Dreisigacker, S and Crespo, L and Mondal, S and Govidan, V and Juliana, P and Espino, J H and Shrestha, S and Varshney, R K and Crossa, J (2021) Bayesian multitrait kernel methods improve multienvironment genome-based prediction. G3: Genes, Genomes, Genetics (TSI), 12 (2). pp. 1-17. ISSN 2160-1836
Montesinos-López, O A and Montesinos-López, J C and Montesinos-Lopez, A and Ramírez-Alcaraz, J M and Poland, J and Singh, R and Dreisigacker, S and Crespo, L and Mondal, S and Govidan, V and Juliana, P and Espino, J H and Shrestha, S and Varshney, R K and Crossa, J (2021) Bayesian multitrait kernel methods improve multienvironment genome-based prediction. G3: Genes, Genomes, Genetics (TSI), 12 (2). pp. 1-17. ISSN 2160-1836
Montesinos-López, O A and Montesinos-López, J C and Montesinos-Lopez, A and Ramírez-Alcaraz, J M and Poland, J and Singh, R and Dreisigacker, S and Crespo, L and Mondal, S and Govidan, V and Juliana, P and Espino, J H and Shrestha, S and Varshney, R K and Crossa, J (2021) Bayesian multitrait kernel methods improve multienvironment genome-based prediction. G3: Genes, Genomes, Genetics (TSI), 12 (2). pp. 1-17. ISSN 2160-1836