Multivariate genomic analysis and optimal contribution selection predicts high genetic gains in cooking time, iron, zinc and grain yield in common beans in East Africa

Wallace Cowling, Renu Saradadevi, Clare Mukankusi, Li Li, Winnyfred Amongi, Julius Peter Mbiu, Bodo Raatz, Daniel Ariza, Steve Beebe, Rajeev K. Varshney, Eric Huttner, Brian Kinghorn, Robert Banks, Jean Claude Rubyogo, Kadambot H. M. Siddique
13.12.2023
Common bean (Phaseolus vulgaris L.) is important in African diets for protein, iron (Fe) and zinc (Zn), but traditional varieties have long cooking time (CKT) which increases the time, energy and health costs of cooking. Genomic selection (GS) was used to predict genomic estimated breeding values (GEBV) for grain yield (GY), CKT, Fe and Zn in an African bean panel of 358 genotypes in a two-stage analysis. In stage 1, best linear unbiased estimates (BLUE) for each trait were obtained from 898 genotypes across 33 field trials in East Africa. In stage 2, BLUE in a training population of 141 genotypes were used in a multivariate genomic analysis with genome-wide SNP data from the African bean panel. Moderate to high genomic heritability was found for GY (0.45 ± 0.10), CKT (0.50 ± 0.15), Fe (0.57 ± 0.12) and Zn (0.61 ± 0.13). There were significant favorable genetic correlations between Fe:Zn (0.91 ± 0.06), GY:Fe (0.66 ± 0.17), GY:Zn (0.44 ± 0.19), CKT:Fe (-0.57 ± 0.21) and CKT:Zn (-0.67 ± 0.20). Optimal contribution selection (OCS), based on economic index of weighted GEBV for each trait, was used to design crossing within four market groups relevant to East Africa. Progeny were predicted by OCS to increase in mean GY by 12.4%, decrease in mean CKT by 9.3% and increase in mean Fe and Zn content by 6.9% and 4.6%, respectively, with low achieved coancestry of 0.032. GS and OCS will accelerate breeding of high-yielding, biofortified and rapid cooking African common bean varieties.

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Wallace Cowling, Renu Saradadevi, Clare Mukankusi, Li Li, Winnyfred Amongi, Julius Peter Mbiu, Bodo Raatz, Daniel Ariza, Steve Beebe, Rajeev K. Varshney, Eric Huttner, Brian Kinghorn, Robert Banks, Jean Claude Rubyogo, Kadambot H. M. Siddique
Australian Centre for International Agricultural Research

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