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

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