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Fernando H Toledo

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

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Theoretical Population Biology|January 29, 2020
On the approximation of interaction effect models by Hadamard powers of the additive genomic relationshipJohannes W R Martini, Fernando H Toledo, José Crossa
Crop Science|December 21, 2020
Optimum and Decorrelated Constrained Multistage Linear Phenotypic Selection Indices TheoryJ Jesus Cerón-Rojas, Fernando H Toledo, Jose Crossa
G3 (Bethesda, Md.)|June 16, 2019
isqg: A Binary Framework for <i>in Silico</i> Quantitative GeneticsFernando H Toledo, Paulino Pérez-Rodríguez, José Crossa, et al.
The Plant Genome|November 20, 2020
On Hadamard and Kronecker products in covariance structures for genotype × environment interactionJohannes W R Martini, Jose Crossa, Fernando H Toledo, et al.
Frontiers in Plant Science|June 13, 2022
Editorial: Genomic Selection: Lessons Learned and PerspectivesJohannes W R Martini, Sarah J Hearne, Brian Gardunia, et al.
G3 (Bethesda, Md.)|July 20, 2018
A Bayesian Decision Theory Approach for Genomic SelectionBartolode Jesús Villar-Hernández, Sergio Pérez-Elizalde, José Crossa, et al.
Plants (Basel, Switzerland)|September 9, 2022
Worldwide Selection Footprints for Drought and Heat in Bread Wheat (<i>Triticum aestivum</i> L.)Ana L Gómez-Espejo, Carolina Paola Sansaloni, Juan Burgueño, et al.
G3 (Bethesda, Md.)|June 26, 2016
A Genomic Bayesian Multi-trait and Multi-environment ModelOsval A Montesinos-López, Abelardo Montesinos-López, José Crossa, et al.
G3 (Bethesda, Md.)|March 2, 2019
An R Package for Bayesian Analysis of Multi-environment and Multi-trait Multi-environment Data for Genome-Based PredictionOsval A Montesinos-López, Abelardo Montesinos-López, Francisco Javier Luna-Vázquez, et al.
G3 (Bethesda, Md.)|April 2, 2017
A Bayesian Poisson-lognormal Model for Count Data for Multiple-Trait Multiple-Environment Genomic-Enabled PredictionOsval A Montesinos-López, Abelardo Montesinos-López, José Crossa, et al.
Pageof 1

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

Sort By:
Pageof 1
Theoretical Population Biology|January 29, 2020
On the approximation of interaction effect models by Hadamard powers of the additive genomic relationshipJohannes W R Martini, Fernando H Toledo, José Crossa
Crop Science|December 21, 2020
Optimum and Decorrelated Constrained Multistage Linear Phenotypic Selection Indices TheoryJ Jesus Cerón-Rojas, Fernando H Toledo, Jose Crossa
G3 (Bethesda, Md.)|June 16, 2019
isqg: A Binary Framework for <i>in Silico</i> Quantitative GeneticsFernando H Toledo, Paulino Pérez-Rodríguez, José Crossa, et al.
The Plant Genome|November 20, 2020
On Hadamard and Kronecker products in covariance structures for genotype × environment interactionJohannes W R Martini, Jose Crossa, Fernando H Toledo, et al.
Frontiers in Plant Science|June 13, 2022
Editorial: Genomic Selection: Lessons Learned and PerspectivesJohannes W R Martini, Sarah J Hearne, Brian Gardunia, et al.
G3 (Bethesda, Md.)|July 20, 2018
A Bayesian Decision Theory Approach for Genomic SelectionBartolode Jesús Villar-Hernández, Sergio Pérez-Elizalde, José Crossa, et al.
Plants (Basel, Switzerland)|September 9, 2022
Worldwide Selection Footprints for Drought and Heat in Bread Wheat (<i>Triticum aestivum</i> L.)Ana L Gómez-Espejo, Carolina Paola Sansaloni, Juan Burgueño, et al.
G3 (Bethesda, Md.)|June 26, 2016
A Genomic Bayesian Multi-trait and Multi-environment ModelOsval A Montesinos-López, Abelardo Montesinos-López, José Crossa, et al.
G3 (Bethesda, Md.)|March 2, 2019
An R Package for Bayesian Analysis of Multi-environment and Multi-trait Multi-environment Data for Genome-Based PredictionOsval A Montesinos-López, Abelardo Montesinos-López, Francisco Javier Luna-Vázquez, et al.
G3 (Bethesda, Md.)|April 2, 2017
A Bayesian Poisson-lognormal Model for Count Data for Multiple-Trait Multiple-Environment Genomic-Enabled PredictionOsval A Montesinos-López, Abelardo Montesinos-López, José Crossa, et al.
Pageof 1