Título
Replication Data for: Use of Remote Sensing for Genome-Wide Association Studies and Genomic Prediction
Autor
Alexander Loladze
Francelino Rodrigues
Cesar Petroli
Felix San Vicente Garcia
Bruno Gerard
Osval Antonio Montesinos-Lopez
Jose Crossa
Johannes Martini
Nivel de Acceso
Acceso Abierto
Descripción
Abstracto - Disease resistance improvement efforts in plant breeding can help to reduce the negative impact of biotic stresses on crop production.Disease resistance can be assessed through a labor-intensive process of assigning visual scores (VS) of susceptibility (or resistance) by specially trained staff. Remote sensing (RS) tools can also be used to measure traits such as vegetation indices that can also be used to assess plant responses to diseases. This dataset contains phenotypic and genotypic data from a two-year evaluation trial of three newly developed biparental populations of maize doubled haploid lines (DH). Data from VS and RS methods for assessing common rust resistance were used in genome wide association study (GWAS) as well as genomic prediction (GP) analyses. A report on the comparison of the results of these analyses is provided in the accompanying 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
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