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Multivariate genomic analysis and optimal contributions selection predicts high genetic gains in cooking time, iron, zinc, and grain yield in common beans in East Africa.
Plant Genome. 2021 Nov;14(3):e20156. doi: 10.1002/tpg2.20156. Epub 2021 Oct 26.
Plant Genome. 2021.
PMID: 34704366
Free article.
Improving Association Studies and Genomic Predictions for Climbing Beans With Data From Bush Bean Populations.
Keller B, Ariza-Suarez D, Portilla-Benavides AE, Buendia HF, Aparicio JS, Amongi W, Mbiu J, Msolla SN, Miklas P, Porch TG, Burridge J, Mukankusi C, Studer B, Raatz B.
Keller B, et al. Among authors: amongi w.
Front Plant Sci. 2022 Apr 25;13:830896. doi: 10.3389/fpls.2022.830896. eCollection 2022.
Front Plant Sci. 2022.
PMID: 35557726
Free PMC article.
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Phenotype based clustering, and diversity of common bean genotypes in seed iron concentration and cooking time.
Amongi W, Nkalubo ST, Ochwo-Ssemakula M, Badji A, Dramadri IO, Odongo TL, Nuwamanya E, Tukamuhabwe P, Izquierdo P, Cichy K, Kelly J, Mukankusi C.
Amongi W, et al.
PLoS One. 2023 May 11;18(5):e0284976. doi: 10.1371/journal.pone.0284976. eCollection 2023.
PLoS One. 2023.
PMID: 37167229
Free PMC article.
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