Montesinos-López, Osval
Universidad de Colima
8 papers on CoChatORCID 0000-0002-3973-6547
Most cited papers
- Verified
Genomic Selection in Plant Breeding: Methods, Models, and Perspectives
Crossa, J., Pérez-Rodríguez, P., Cuevas, J., Montesinos-López, O., Jarquín, D., de los Campos, G., Burgueño, J., González-Camacho, J. M., Pérez-Elizalde, S., Beyene, Y., et al. (2017) · Trends in Plant Science
Genetic and phenotypic traits in livestockGenetic Mapping and Diversity in Plants and Animals
Cited by 1,839
- Verified
A review of deep learning applications for genomic selection
Montesinos-López, O. A., Montesinos-López, A., Pérez-Rodríguez, P., Barrón-López, J. A., Martini, J. W. R., Fajardo-Flores, S. B., Gaytan-Lugo, L. S., Santana-Mancilla, P. C., & Crossa, J. (2021) · BMC Genomics
Genetic and phenotypic traits in livestockGenetic Mapping and Diversity in Plants and Animals
Cited by 361
- Verified
Bayesian Genomic Prediction with Genotype × Environment Interaction Kernel Models
Cuevas, J., Crossa, J., Montesinos-López, O. A., Burgueño, J., Pérez-Rodríguez, P., & de los Campos, G. (2017) · G3 Genes Genomes Genetics
Genetic and phenotypic traits in livestockGenetics and Plant Breeding
Cited by 157
- Verified
Deep Kernel for Genomic and Near Infrared Predictions in Multi-environment Breeding Trials
Cuevas, J., Montesinos-López, O., Juliana, P., Guzmán, C., Pérez-Rodríguez, P., González-Bucio, J., Burgueño, J., Montesinos-López, A., & Crossa, J. (2019) · G3 Genes|Genomes|Genetics
Genetic and phenotypic traits in livestockGenetic Mapping and Diversity in Plants and Animals
Cited by 97
- Verified
Genomic Bayesian functional regression models with interactions for predicting wheat grain yield using hyper-spectral image data
Montesinos-López, A., Montesinos-López, O. A., Cuevas, J., Mata-López, W. A., Burgueño, J., Mondal, S., Huerta, J., Singh, R., Autrique, E., González-Pérez, L., et al. (2017) · Plant Methods
Spectroscopy and Chemometric AnalysesRemote Sensing in Agriculture
Cited by 86
- Verified
Deep Kernel and Deep Learning for Genome-Based Prediction of Single Traits in Multienvironment Breeding Trials
Crossa, J., Martini, J. W. R., Gianola, D., Pérez-Rodríguez, P., Jarquin, D., Juliana, P., Montesinos-López, O., & Cuevas, J. (2019) · Frontiers in Genetics
Genetic and phenotypic traits in livestockGenetics and Plant Breeding
Cited by 79
- Verified
A review of multimodal deep learning methods for genomic-enabled prediction in plant breeding
Montesinos-López, O. A., Chavira-Flores, M., Kiasmiantini, Crespo-Herrera, L., Saint Piere, C., Li, H., Fritsche-Neto, R., Al-Nowibet, K., Montesinos-López, A., & Crossa, J. (2024) · GENETICS
Genetic and phenotypic traits in livestockGenetic Mapping and Diversity in Plants and Animals
Cited by 47
- Verified
Multimodal deep learning methods enhance genomic prediction of wheat breeding
Montesinos-López, A., Rivera, C., Pinto, F., Piñera, F., Gonzalez, D., Reynolds, M., Pérez-Rodríguez, P., Li, H., Montesinos-López, O. A., & Crossa, J. (2023) · G3: Genes, Genomes, Genetics
Genetic and phenotypic traits in livestockWheat and Barley Genetics and Pathology
Cited by 41
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