Título
Replication Data for: Genomic Prediction of Gene Bank Wheat Landraces
Autor
Jose Crossa
DIEGO JARQUIN
Jorge Franco
Paulino Pérez-Rodríguez
Juan Burgueño
Carolina Saint Pierre
Prashant Vikram
Carolina Sansaloni
Cesar Petroli
Deniz Akdemir
Clay Sneller
Matthew Paul Reynolds
Thomas Payne
Carlos Guzman
Roberto Peña
Peter Wenzl
Sukhwinder Singh
Nivel de Acceso
Acceso Abierto
Descripción
Abstracto - Genomic prediction methods may be used to enhance efforts to rapidly introgress traits of interest from exotic germplasm into elite materials. This study examined the performance of different genomic prediction models using genotypic and phenotypic data related to 8416 Mexican landrace accessions and 2403 Iranian landrace accessions stored in germplasm banks. The Mexican and Iranian collections were evaluated under optimal, drought, and heat conditions for several traits including the highly heritable traits, days to heading (DTH), and days to maturity (DTM). The results of the different analyses are reported in the accompanying journal article.
Editor
International Maize and Wheat Improvement Center
Fecha de publicación
2023
Tipo de recurso
Dataset
Recurso de información
Repositorio Orígen
Repositorio Institucional de Datos y Software de Investigación del CIMMYT
Descargas
0