Replication Data for: Multi-trait Bayesian decision for parental selection

Jose Crossa Fernando Henrique Toledo Paulino Pérez-Rodríguez (2020)

The files included in this study contains the data used with three promising multivariate loss functions: Kullback-Leibler (KL); the Energy Score; and the Multivariate Asymmetric Loss (MALF); to select the best performing parents for the next breeding cycle in two extensive real wheat data sets.

Dataset

CIENCIAS AGROPECUARIAS Y BIOTECNOLOGÍA

Editorial: Genomic selection: Lessons learned and perspectives

Johannes Martini Sarah Hearne Valentin Wimmer Fernando Henrique Toledo (2022)

Artículo

Genomic Selection Selection Gain Breeding Schemes CIENCIAS AGROPECUARIAS Y BIOTECNOLOGÍA BREEDING PROGRAMMES MARKER-ASSISTED SELECTION GENOTYPE ENVIRONMENT INTERACTION PLANT BREEDING

Algorithmic differentiation of linear mixed models with variance-covariance structures

Fernando Henrique Toledo Jose Crossa Juan Burgueño Keith Gardner Rosa Angela Pacheco Gil (2023)

Objeto de congreso

CIENCIAS AGROPECUARIAS Y BIOTECNOLOGÍA MATHEMATICAL MODELS ALGORITHMS LINEAR MODELS

Replication Data for: Genomic prediction within and across families in wheat pre-breeding populations

Johannes Martini Fernando Henrique Toledo Carolina Sansaloni Jose Crossa Jaime Cuevas Sivakumar Sukumaran (2020)

The genetic diversity housed in germplasm banks may provide valuable contributions to breeding efforts. It is important to understand the best way to introduce this diversity into elite breeding materials. This files in this dataset provide phenotypic and genotypic data used to compare genomic prediction approaches and different cross-validation scenarios on a set of wheat families obtained from crosses between elite materials and diverse germplasm bank accessions. The linked top cross population (LTP) materials analyzed in the study were screened under yield potential, drought, and heat stress conditions.

Dataset

CIENCIAS AGROPECUARIAS Y BIOTECNOLOGÍA

Worldwide selection footprints for drought and heat in bread wheat (Triticum aestivum L.)

Ana Luisa Gómez Espejo Carolina Sansaloni Juan Burgueño Fernando Henrique Toledo Adalberto Benavides-Mendoza M. Humberto Reyes-Valdés (2022)

Artículo

Genome–Environment Associations Climatic Variables Hormonal Elicitors CIENCIAS AGROPECUARIAS Y BIOTECNOLOGÍA ADAPTATION DROUGHT STRESS HEAT STRESS LANDRACES TRITICUM AESTIVUM