-
1
-
2Digital revistaSCIELO
-
3capítulo de libro bibliotecaINIA ES
-
4
-
5
-
6Deep learning genomic-enabled prediction of plant traits Deep learning genomic-enabled prediction of plant traitspar Montesinos-López, Abelardo, Montesinos-López, Osval A., Gianola, Daniel, Crossa, Jose
Publié 2018Experimental data bibliotecaCIMMYT -
7
-
8Supplemental data for multi-trait, multi-environment deep learning modeling for genomic-enabled prediction of plant traits Supplemental data for multi-trait, multi-environment deep learning modeling for genomic-enabled prediction of plant traitspar Montesinos-López, Osval A., Montesinos-López, Abelardo, Crossa, Jose, Gianola, Daniel, Hernández-Suarez, Carlos Moisés, Martín-Vallejo, Javier
Publié 2018Experimental data bibliotecaCIMMYT -
9Deep kernel and deep learning for genomic-based prediction Deep kernel and deep learning for genomic-based predictionpar Crossa, Jose, Martini, Johannes, Gianola, Daniel, Pérez-Rodríguez, Paulino, Burgueño, Juan, Singh, Ravi, Juliana, Philomin, Montesinos-López, Osval A., Cuevas, Jaime
Publié 2019Experimental data, Genotypic data, Phenotypic data bibliotecaCIMMYT -
10Advances in statistical methods for genetic improvement of Livestock Advances in statistical methods for genetic improvement of Livestockpar Gianola, Daniel, Hammond, Keith, Australian Association of Animal Breeding and Genetics, Australian Meat and Livestock Research and Development Corporation, International Symposium 16-20 Feb. 1987:
Publié 1990Texto bibliotecaUBA FA -
11New deep learning genomic prediction model for multi-traits with mixed binary, ordinal, and continuous phenotypes New deep learning genomic prediction model for multi-traits with mixed binary, ordinal, and continuous phenotypespar Montesinos-López, Osval A., Martín-Vallejo, Javier, Crossa, Jose, Gianola, Daniel, Hernández-Suarez, Carlos Moisés, Montesinos-López, Abelardo, Juliana, Philomin, Singh, Ravi
Publié 2018Experimental data bibliotecaCIMMYT -
12Replication Data for: Joint use of genome, pedigree and their interaction with environment for predicting the performance of wheat lines in new environments Replication Data for: Joint use of genome, pedigree and their interaction with environment for predicting the performance of wheat lines in new environmentspar Howard, Reka, Gianola, Daniel, Montesinos-López, Osval A., Juliana, Philomin, Singh, Ravi, Poland, Jesse, Shrestha, Sandesh, Pérez-Rodríguez, Paulino, Crossa, Jose, Jarquín, Diego
Publié 2019Experimental data bibliotecaCIMMYT -
13par Santellano-Estrada,Eduardo, Becerril-Pérez,Carlos M., Mei-Chang,Yu, Gianola,Daniel, Torres-Hernández,Glafiro, Ramírez-Valverde,Rodolfo, Domínguez-Vivieros,Joel, Rosendo-Ponce,Adalberto
Publié 2011Digital revistaSCIELO -
14par Santellano-Estrada, Eduardo, M. Becerril-Pérez, Carlos, Mei-Chang, Yu, Gianola, Daniel, Torres-Hernández, Glafiro, Ramírez-Valverde, Rodolfo, Domínguez-Vivieros, Joel, Rosendo-Ponce, Adalberto
Publié 2011Digital revistaCOLPOS -
15par Santellano Estrada, Eduardo, Becerril Pérez, Carlos M., consejero., Alba Martínez, Jorge de, asesor., Gianola, Daniel, asesor., Torres Hernández, Glafiro, asesor., Ramírez Valverde, Rodolfo, asesor., Vaquera Huerta, Humberto, asesor., González Camacho, Juan Manuel, asesor., Colegio de Postgraduados, Campus Montecillo (México). Institución de Enseñanza e Investigación en Ciencias Agrícolas.
Publié 2008Texto bibliotecaCOLPOS