Author: Fatima Camarillo-Castillo

Replication Data for: High-resolution spectral information enables phenotyping of leaf epicuticular wax in wheat

Fatima Camarillo-Castillo Suchismita Mondal Matthew Paul Reynolds (2020)

Current limitations on phenotyping EW restrict the integration of this secondary trait into wheat breeding pipelines. In this study we evaluated the application of high-resolution spectral information as a proxy estimate of the trait and developed an efficient indirect method for the selection of genotypes with high EW density.

Dataset

CIENCIAS AGROPECUARIAS Y BIOTECNOLOGÍA

Supplemental data for hybrid wheat prediction using genomic, pedigree and environmental covariables interaction models

BHOJA BASNET Jose Crossa Paulino Pérez-Rodríguez Ravi Singh Fatima Camarillo-Castillo (2018)

Genomic prediction of hybrids unobserved in field evaluations is crucial. In this study, we used genomic G×E models for hybrid prediction, where similarity between lines was assessed by pedigree and molecular markers, and similarity between environments was accounted for by environmental covariables.

Dataset

CIENCIAS AGROPECUARIAS Y BIOTECNOLOGÍA