Logo Lanfrica
  • Home
  • Atlas
  • Insights
  • Docs
  • Sign in

© 2026 Lanfrica. All rights reserved. All copyrights of the resources shown on the Lanfrica website belong to the original copyright holders, unless explicitly stated otherwise.

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

Domain:

agriculture

Record type:

dataset
Creator:
KelAriPorBue
Editor:
TheAll
Publisher:
Har
Host:avatar
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. Methodology:Field trials were evaluated and populations were genotyped by sequencing.

Visit

doi.orgdataverse.harvard.edu

Tags

Agricultural SciencesGenotypingHaplotypesMarker Assisted SelectionGenomic predictionGenome-Wide Association Study (GWAS)Genotyping-By-Sequencing (GBS)Whole Genome Sequencing (WGS)Latin America and the CaribbeanSub-Saharan Africa+4

Licenses

info:eu-repo/semantics/openAccessCustom terms specific to this datasethttps://dataverse.harvard.edu/api/datasets/:persistentId/versions/1.1/customlicense?persistentId=doi:10.7910/DVN/RLAWYN

Similar

Replication Data for: Improving statistical power in severe malaria genetic association studies by augmenting phenotypic precisionData simulation to optimize frameworks for genome-wide association studies in diverse populationsGenetic Analyses and Genomic Predictions of Root Rot Resistance in Common Bean Across Trials and PopulationsReplication Data for: Insurance data from GhanaClimbing bean breeding for disease resistance and grain quality traitsA functional data analysis approach for genetic association studies

Replication Data for: Improving statistical power in severe malaria genetic association studies by augmenting phenotypic precision

This is a replication dataset for the manuscript titled: "Improving statis

Data simulation to optimize frameworks for genome-wide association studies in diverse populations

Whole-genome or genome-wide association studies (GWAS) have become a fundamental part of modern gene

Genetic Analyses and Genomic Predictions of Root Rot Resistance in Common Bean Across Trials and Populations

Root rot in common bean is a disease that causes serious damage to grain production, particularly in

Replication Data for: Insurance data from Ghana

Insurance data from Ghana

Climbing bean breeding for disease resistance and grain quality traits

Abstract Common bean ( Phaseolus vulgaris ) is grown in two growth types, bush and climbing beans

A functional data analysis approach for genetic association studies

We present a new method based on Functional Data Analysis (FDA) for detecting associations between o