Title

Replication Data for: Use of Remote Sensing for Genome-Wide Association Studies and Genomic Prediction

Author

Alexander Loladze

Francelino Rodrigues

Cesar Petroli

Felix San Vicente Garcia

Bruno Gerard

Osval Antonio Montesinos-Lopez

Jose Crossa

Johannes Martini

Access level

Open Access

Description

Abstract - 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.

Publisher

International Maize and Wheat Improvement Center

Publish date

2023

Resource Type

Dataset

Source repository

Repositorio Institucional de Datos y Software de Investigación del CIMMYT

Downloads

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