Replication data for: Improving association studies and genomic predictions for climbing beans with data from bush bean populations

Keller, Beat; Ariza-Suarez, Daniel; Portilla-Benavides, Ana Elizabeth; Buendia, Hector Fabio; Johan Steven Aparicio; Amongi, Winnyfred; Mbiu, Julius; Msolla, Susan N.; Miklas, Phillip; Porch, Timothy G.; Burridge, James; Mukankusi, Clare; Studer, Bruno; Raatz, Bodo; Cruz Arias, Paola Andrea

Replication data for: Improving association studies and genomic predictions for climbing beans with data from bush bean populations

2022

Genomic predictions for climbing beans were established. The climbing bean panel (VEC) was phenotypically and genotypically characterized. To improve association studies and predictions, contrasting bush type bean data, i.e., publicly available data as well as data from new field trials, were added to the data set.

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AGROVOC Keywords

africa agricultural sciences genotyping haplotypes latin america and the caribbean marker assisted selection sub-saharan africa

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Harvard Dataverse

Other Subjects

Genome-wide association study (gwas); Genotyping-by-sequencing (gbs); Genomic prediction; Crops for nutrition and health; Whole genome sequencing (wgs)

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Dataset

In AGRIS since: 2025-07-17

Modification date: 2026-02-03

Format: Dublin Core

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This bibliographic record has been provided by Alliance of Bioversity International and the International Center for Tropical Agriculture

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Replication data for: Improving association studies and genomic predictions for climbing beans with data from bush bean populations

2022

AGROVOC Keywords

Bibliographic information