Osval A. Montesinos-López

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Jose CrossaBiometricianGeverifieerd e-mailadres voor cgiar.org
Paulino PérezColegio de PostgraduadosGeverifieerd e-mailadres voor colpos.mx
Ravi SinghCIMMYTGeverifieerd e-mailadres voor cgiar.org
Juan BurgueñoCIMMYTGeverifieerd e-mailadres voor cgiar.org
Jaime CuevasProfesor-Investigador, Universidad de Quintana RooGeverifieerd e-mailadres voor uqroo.edu.mx
Leonardo Crespo-HerreraCIMMYTGeverifieerd e-mailadres voor cgiar.org
Suchismita MondalAssistant Professor-Winter Wheat Breeder, Montana State UniversityGeverifieerd e-mailadres voor montana.edu
Gustavo de los CamposEpidemiology & Biostatstics, Statistics & Probability, and IQ-institute, Michigan State University.Geverifieerd e-mailadres voor msu.edu
Diego JarquinUniversity of FloridaGeverifieerd e-mailadres voor ufl.edu
J. Cricelio Montesinos-LopezDepartment of Public Health Sciences,University of California, Davis, CA, USAGeverifieerd e-mailadres voor ucdavis.edu
Roberto Fritsche-NetoAssistant Professor of Prediction-based BreedingGeverifieerd e-mailadres voor agcenter.lsu.edu
Rajeev K. VarshneyDirector, Centre for Crop & Food Innovation, Murdoch University, AustraliaGeverifieerd e-mailadres voor murdoch.edu.au
Jessica RutkoskiUniversity of Illinois at Urbana-ChampaignGeverifieerd e-mailadres voor illinois.edu
Jesse PolandProfessor, King Abdullah University of Science and TechnologyGeverifieerd e-mailadres voor kaust.edu.sa
Johannes W R MartiniAardevo - Diploid Hybrid Potato BreedingGeverifieerd e-mailadres voor aardevo.com
Morten LillemoNorwegian University of Life SciencesGeverifieerd e-mailadres voor nmbu.no
Manje GowdaCIMMYT, Global Maize Program, NairobiGeverifieerd e-mailadres voor cgiar.org
Velu GovindanCIMMYTGeverifieerd e-mailadres voor cgiar.org
Francisco Javier Luna-VázquezUniversidad de ColimaGeverifieerd e-mailadres voor ucol.mx
Xuecai ZhangSenior Scientist, CIMMYTGeverifieerd e-mailadres voor cgiar.org

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Osval A. Montesinos-López

Professor, Facutad de Telemática, Universidad de Colima.

Geverifieerd e-mailadres voor ucol.mx - Homepage

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


Titel Sorteren op citaties Sorteren op jaar Sorteren op titel	Geciteerd door Geciteerd door	Jaar
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	1449	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	416	2021
Multivariate statistical machine learning methods for genomic prediction OA Montesinos López, A Montesinos López, J Crossa Springer Nature, 2022	243	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	230	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	227	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	218	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	182	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	157	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	153	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	149	2017
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	146	2021
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	146	2018
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	145	2016
Modelos matemáticos para enfermedades infecciosas OA Montesinos-López, CM Hernández-Suárez Salud pública de México 49, 218-226, 2007	145	2007
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	141	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	136	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	124	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	123	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	107	2019
Deep kernel for genomic and near infrared predictions in multi-environment breeding trials J Cuevas, O Montesinos-López, P Juliana, C Guzmán, ... G3: Genes, Genomes, Genetics 9 (9), 2913-2924, 2019	83	2019

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