Osval A. Montesinos-López

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Jose CrossaBiometricianDirección de correo verificada de cgiar.org
Paulino PérezColegio de PostgraduadosDirección de correo verificada de colpos.mx
Ravi SinghCIMMYTDirección de correo verificada de cgiar.org
Juan BurgueñoCIMMYTDirección de correo verificada de cgiar.org
Jaime CuevasProfesor-Investigador, Universidad de Quintana RooDirección de correo verificada de uqroo.edu.mx
Leonardo Crespo-HerreraCIMMYTDirección de correo verificada de cgiar.org
Suchismita MondalAssistant Professor-Winter Wheat Breeder, Montana State UniversityDirección de correo verificada de montana.edu
Gustavo de los CamposEpidemiology & Biostatstics, Statistics & Probability, and IQ-institute, Michigan State University.Dirección de correo verificada de msu.edu
Diego JarquinUniversity of FloridaDirección de correo verificada de ufl.edu
J. Cricelio Montesinos-LopezDepartment of Public Health Sciences,University of California, Davis, CA, USADirección de correo verificada de ucdavis.edu
Roberto Fritsche-NetoAssistant Professor of Prediction-based BreedingDirección de correo verificada de agcenter.lsu.edu
Rajeev K. VarshneyDirector, Centre for Crop & Food Innovation, Murdoch University, AustraliaDirección de correo verificada de murdoch.edu.au
Jessica RutkoskiUniversity of Illinois at Urbana-ChampaignDirección de correo verificada de illinois.edu
Jesse PolandProfessor, King Abdullah University of Science and TechnologyDirección de correo verificada de kaust.edu.sa
Johannes W R MartiniAardevo - Diploid Hybrid Potato BreedingDirección de correo verificada de aardevo.com
Morten LillemoNorwegian University of Life SciencesDirección de correo verificada de nmbu.no
Manje GowdaCIMMYT, Global Maize Program, NairobiDirección de correo verificada de cgiar.org
Velu GovindanCIMMYTDirección de correo verificada de cgiar.org
Francisco Javier Luna-VázquezUniversidad de ColimaDirección de correo verificada de ucol.mx
Xuecai ZhangSenior Scientist, CIMMYTDirección de correo verificada de cgiar.org

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Osval A. Montesinos-López

Professor, Facutad de Telemática, Universidad de Colima.

Dirección de correo verificada de ucol.mx - Página principal

My areas of interest include the development of novel genomic prediction models for plant breeding


Título Ordenar por citas Ordenar por año Ordenar por título	Citado por Citado por	Año
Genomic selection in plant breeding: methods, models, and perspectives J Crossa, P Pérez-Rodríguez, J Cuevas, O Montesinos-López, D Jarquín, ... Trends in plant science 22 (11), 961-975, 2017	1448	2017
ANALYSIS OF CONSTRUCT VALIDITY AND RELIABILITY OF TWO INSTRUMENTS TO EVALUATE PROFESSIONAL ORIENTED ACTIVITIES. WA Mata-López, LG Juárez-Hernández, S Tobón, OA Montesinos-López Revista Española de Orientación y Psicopedagogía (REOP) 32 (2), 2021	413	2021
Multivariate statistical machine learning methods for genomic prediction OA Montesinos López, A Montesinos López, J Crossa Springer Nature, 2022	242	2022
Improving grain yield, stress resilience and quality of bread wheat using large-scale genomics P Juliana, J Poland, J Huerta-Espino, S Shrestha, J Crossa, ... Nature genetics 51 (10), 1530-1539, 2019	231	2019
A review of deep learning applications for genomic selection OA Montesinos-López, A Montesinos-López, P Pérez-Rodríguez, ... BMC genomics 22, 1-23, 2021	226	2021
Fundamentals of artificial neural networks and deep learning OA Montesinos López, A Montesinos López, J Crossa Multivariate statistical machine learning methods for genomic prediction …, 2022	214	2022
Overfitting, model tuning, and evaluation of prediction performance OA Montesinos López, A Montesinos López, J Crossa Multivariate statistical machine learning methods for genomic prediction …, 2022	177	2022
Predicting grain yield using canopy hyperspectral reflectance in wheat breeding data OA Montesinos-López, A Montesinos-López, J Crossa, G de Los Campos, ... Plant methods 13, 1-23, 2017	161	2017
Genomic prediction of genotype× environment interaction kernel regression models J Cuevas, J Crossa, V Soberanis, S Pérez‐Elizalde, P Pérez‐Rodríguez, ... The plant genome 9 (3), plantgenome2016.03.0024, 2016	154	2016
Bayesian Genomic Prediction with Genotype × Environment Interaction Kernel Models J Cuevas, J Crossa, OA Montesinos-López, J Burgueño, ... G3: Genes, Genomes, Genetics 7 (1), 41-53, 2017	151	2017
Multi-trait, multi-environment deep learning modeling for genomic-enabled prediction of plant traits OA Montesinos-López, A Montesinos-López, J Crossa, D Gianola, ... G3: Genes, genomes, genetics 8 (12), 3829-3840, 2018	147	2018
Modelos matemáticos para enfermedades infecciosas OA Montesinos-López, CM Hernández-Suárez Salud pública de México 49, 218-226, 2007	147	2007
A genomic Bayesian multi-trait and multi-environment model OA Montesinos-López, A Montesinos-López, J Crossa, FH Toledo, ... G3: Genes, Genomes, Genetics 6 (9), 2725-2744, 2016	144	2016
The modern plant breeding triangle: optimizing the use of genomics, phenomics, and enviromics data J Crossa, R Fritsche-Neto, OA Montesinos-Lopez, G Costa-Neto, ... Frontiers in plant science 12, 651480, 2021	143	2021
Multi-environment genomic prediction of plant traits using deep learners with dense architecture A Montesinos-López, OA Montesinos-López, D Gianola, J Crossa, ... G3: Genes, Genomes, Genetics 8 (12), 3813-3828, 2018	140	2018
Hyperspectral reflectance-derived relationship matrices for genomic prediction of grain yield in wheat MR Krause, L González-Pérez, J Crossa, P Pérez-Rodríguez, ... G3: Genes, Genomes, Genetics 9 (4), 1231-1247, 2019	131	2019
An IoT system for remote health monitoring in elderly adults through a wearable device and mobile application LA Durán-Vega, PC Santana-Mancilla, R Buenrostro-Mariscal, ... Geriatrics 4 (2), 34, 2019	127	2019
A benchmarking between deep learning, support vector machine and Bayesian threshold best linear unbiased prediction for predicting ordinal traits in plant breeding OA Montesinos-López, J Martín-Vallejo, J Crossa, D Gianola, ... G3: Genes, Genomes, Genetics 9 (2), 601-618, 2019	127	2019
Integrating genomic-enabled prediction and high-throughput phenotyping in breeding for climate-resilient bread wheat P Juliana, OA Montesinos-López, J Crossa, S Mondal, L González Pérez, ... Theoretical and Applied Genetics 132, 177-194, 2019	108	2019
Prospects and challenges of applied genomic selection—a new paradigm in breeding for grain yield in bread wheat P Juliana, RP Singh, J Poland, S Mondal, J Crossa, ... The plant genome 11 (3), 180017, 2018	83	2018

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