Título
Replication Data for: Genome-based prediction of multiple wheat quality traits in multiple years
Autor
Maria Itria Ibba
Jose Crossa
Osval Antonio Montesinos-Lopez
Philomin Juliana
Carlos Guzman
Susanne Dreisigacker
Jesse Poland
Nivel de Acceso
Acceso Abierto
Descripción
Abstracto - The use of genomic prediction could greatly help to increase the efficiency of selecting for wheat quality traits by reducing the cost and time required for this analysis. This study contains data used to evaluate the prediction performances of 13 wheat quality traits under two multi-trait models [Bayesian multi-trait multi-environment (BMTME) and multi-trait ridge regression (MTR)]. Separate files are provided for each year of data. An additional supplemental data file provides R code for running the analyses as well as a table describing the Average Pearson´s correlation (APC) and mean arctangent absolute percentage error (MAAPE) for the testing sets for each dataset and trait.
Editor
International Maize and Wheat Improvement Center
Fecha de publicación
2020
Tipo de recurso
Dataset
Recurso de información
Repositorio Orígen
Repositorio Institucional de Datos y Software de Investigación del CIMMYT
Descargas
0