Crossa, José
Centro Internacional de Mejoramiento de Maíz Y Trigo
18 papers on CoChatORCID 0000-0001-9429-5855
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 reaction norm model for genomic selection using high-dimensional genomic and environmental data
Jarquín, D., Crossa, J., Lacaze, X., Du Cheyron, P., Daucourt, J., Lorgeou, J., Piraux, F., Guerreiro, L., Pérez, P., Calus, M., et al. (2014) · Theoretical and Applied Genetics
Genetic and phenotypic traits in livestockGenetics and Plant Breeding
Cited by 687
- Verified
Multivariate statistical machine learning methods for genomic prediction
Montesinos López, O. A., Montesinos López, A., & Crossa, J. (2022) · Springer eBooks
Genetic and phenotypic traits in livestockGenetic Associations and Epidemiology
Cited by 516
- Verified
Semi-parametric genomic-enabled prediction of genetic values using reproducing kernel Hilbert spaces methods
DE LOS CAMPOS, G., GIANOLA, D., ROSA, G. J. M., WEIGEL, K. A., & CROSSA, J. (2010) · Genetics Research
Genetic and phenotypic traits in livestockGenetic Mapping and Diversity in Plants and Animals
Cited by 361
- 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
Genomic prediction in biparental tropical maize populations in water-stressed and well-watered environments using low-density and GBS SNPs
Zhang, X., Pérez-Rodríguez, P., Semagn, K., Beyene, Y., Babu, R., López-Cruz, M. A., San Vicente, F., Olsen, M., Buckler, E., Jannink, J.-L., et al. (2015) · Heredity
Genetic and phenotypic traits in livestockGenetic Mapping and Diversity in Plants and Animals
Cited by 212
- Verified
Genomic Prediction of Genotype × Environment Interaction Kernel Regression Models
Cuevas, J., Crossa, J., Soberanis, V., Pérez‐Elizalde, S., Pérez‐Rodríguez, P., Campos, G. D. L., Montesinos‐López, O. A., & Burgueño, J. (2016) · The Plant Genome
Genetic and phenotypic traits in livestockGenetics and Plant Breeding
Cited by 181
- 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
Nonlinear kernels, dominance, and envirotyping data increase the accuracy of genome-based prediction in multi-environment trials
Costa-Neto, G., Fritsche-Neto, R., & Crossa, J. (2021) · Heredity
Genetic and phenotypic traits in livestockGenetics and Plant Breeding
Cited by 153
- 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
Genomic models with genotype × environment interaction for predicting hybrid performance: an application in maize hybrids
Acosta-Pech, R., Crossa, J., de los Campos, G., Teyssèdre, S., Claustres, B., Pérez-Elizalde, S., & Pérez-Rodríguez, P. (2017) · Theoretical and Applied Genetics
Genetic and phenotypic traits in livestockGenetics and Plant Breeding
Cited by 74
- Verified
Analysis of Variety Yield Trials Using Two-Dimensional Separable ARIMA Processes
Grondona, M. O., Crossa, J., Fox, P. N., & Pfeiffer, W. H. (1996) · Biometrics
Spatial and Panel Data AnalysisGenetics and Plant Breeding
Cited by 66
- 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
Genome-based prediction of Bayesian linear and non-linear regression models for ordinal data
Pérez‐Rodríguez, P., Flores‐Galarza, S., Vaquera‐Huerta, H., del Valle‐Paniagua, D. H., Montesinos‐López, O. A., & Crossa, J. (2020) · The Plant Genome
Genetic and phenotypic traits in livestockGenetic Mapping and Diversity in Plants and Animals
Cited by 24
- Verified
Bayesian Genomic-Enabled Prediction as an Inverse Problem
Cuevas, J., Pérez-Elizalde, S., Soberanis, V., Pérez-Rodríguez, P., Gianola, D., & Crossa, J. (2014) · G3 Genes|Genomes|Genetics
Genetic and phenotypic traits in livestockGenetic Mapping and Diversity in Plants and Animals
Cited by 10
- Verified
Improving Genomic Prediction Using High‐Dimensional Secondary Phenotypes: The Genetic Latent Factor Approach
Melsen, K. A. C., Kunst, J. F., Crossa, J., Krause, M. R., van Eeuwijk, F. A., Kruijer, W., & Peeters, C. F. W. (2025) · Biometrical Journal
Genetic and phenotypic traits in livestockGenetic Mapping and Diversity in Plants and Animals
Cited by 2
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