Burgueño, Juan
Centro Internacional de Mejoramiento de Maíz Y Trigo
6 papers on CoChatORCID 0000-0002-1468-4867
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
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
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
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