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Osval A Montesinos-Lopez

Showing results (1-10 of 9) with videos related to

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Plant Phenomics (Washington, D.C.)|April 27, 2026
Comparing statistical 'phenomic prediction' models for remote-sensing-based phenotyping of maize susceptibility to common rustJohannes W R Martini, Osval A Montesinos-Lopez, Jose Crossa, et al.
Molecular Breeding : New Strategies in Plant Improvement|January 17, 2024
Multispectral-derived genotypic similarities from budget cameras allow grain yield prediction and genomic selection augmentation in single and multi-environment scenarios in spring wheatTomasz Mróz, Sahameh Shafiee, Jose Crossa, et al.
G3 (Bethesda, Md.)|February 25, 2018
Genomic-Enabled Prediction Kernel Models with Random Intercepts for Multi-environment TrialsJaime Cuevas, Italo Granato, Roberto Fritsche-Neto, et al.
The Plant Genome|July 29, 2021
Application of a Poisson deep neural network model for the prediction of count data in genome-based predictionOsval A Montesinos-Lopez, Jose C Montesinos-Lopez, Eduardo Salazar, et al.
Genes|August 29, 2024
Optimizing Genomic Parental Selection for Categorical and Continuous-Categorical Multi-Trait MixturesBartolo de Jesús Villar-Hernández, Paulino Pérez-Rodríguez, Paolo Vitale, et al.
Data in Brief|April 8, 2024
Multispectral and thermal infrared data, visual scores for severity of common rust symptoms, and genotypic single nucleotide polymorphism data of three F2-derived biparental doubled-haploid maize populationsAlexander Loladze, Francelino Rodrigues, Cesar D Petroli, et al.
Field Crops Research|March 18, 2024
Use of remote sensing for linkage mapping and genomic prediction for common rust resistance in maizeAlexander Loladze, Francelino A Rodrigues, Cesar D Petroli, et al.
Trends in Plant Science|October 27, 2024
Machine learning algorithms translate big data into predictive breeding accuracyJosé Crossa, Osval A Montesinos-Lopez, Germano Costa-Neto, et al.
Global Change Biology|August 26, 2024
Wheat genetic resources have avoided disease pandemics, improved food security, and reduced environmental footprints: A review of historical impacts and future opportunitiesJulie King, Susanne Dreisigacker, Matthew Reynolds, et al.
Pageof 1

Showing results (1-10 of 9) with videos related to

Sort By:
Pageof 1
Plant Phenomics (Washington, D.C.)|April 27, 2026
Comparing statistical 'phenomic prediction' models for remote-sensing-based phenotyping of maize susceptibility to common rustJohannes W R Martini, Osval A Montesinos-Lopez, Jose Crossa, et al.
Molecular Breeding : New Strategies in Plant Improvement|January 17, 2024
Multispectral-derived genotypic similarities from budget cameras allow grain yield prediction and genomic selection augmentation in single and multi-environment scenarios in spring wheatTomasz Mróz, Sahameh Shafiee, Jose Crossa, et al.
G3 (Bethesda, Md.)|February 25, 2018
Genomic-Enabled Prediction Kernel Models with Random Intercepts for Multi-environment TrialsJaime Cuevas, Italo Granato, Roberto Fritsche-Neto, et al.
The Plant Genome|July 29, 2021
Application of a Poisson deep neural network model for the prediction of count data in genome-based predictionOsval A Montesinos-Lopez, Jose C Montesinos-Lopez, Eduardo Salazar, et al.
Genes|August 29, 2024
Optimizing Genomic Parental Selection for Categorical and Continuous-Categorical Multi-Trait MixturesBartolo de Jesús Villar-Hernández, Paulino Pérez-Rodríguez, Paolo Vitale, et al.
Data in Brief|April 8, 2024
Multispectral and thermal infrared data, visual scores for severity of common rust symptoms, and genotypic single nucleotide polymorphism data of three F2-derived biparental doubled-haploid maize populationsAlexander Loladze, Francelino Rodrigues, Cesar D Petroli, et al.
Field Crops Research|March 18, 2024
Use of remote sensing for linkage mapping and genomic prediction for common rust resistance in maizeAlexander Loladze, Francelino A Rodrigues, Cesar D Petroli, et al.
Trends in Plant Science|October 27, 2024
Machine learning algorithms translate big data into predictive breeding accuracyJosé Crossa, Osval A Montesinos-Lopez, Germano Costa-Neto, et al.
Global Change Biology|August 26, 2024
Wheat genetic resources have avoided disease pandemics, improved food security, and reduced environmental footprints: A review of historical impacts and future opportunitiesJulie King, Susanne Dreisigacker, Matthew Reynolds, et al.
Pageof 1