- 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
- Plant Genome 14:e20156
- 2021
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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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IMG_9645-a22a558b
Beans for sale in a market in Kampala, Uganda
Common beans are an important source of protein, iron and zinc for African women and children. With new breeding methods, we are accelerating the rate of genetic gain in protein, iron and zinc in common bean. - Download article
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Renu Saradadevi et al., 2021
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 -
Cowling Wallace, 2021. 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.. Legume Hub. https://www.legumehub.eu
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Saradadevi, R., Mukankusi, C., Li, L., Amongi, W., Mbiu, J., Raatz, B., Ariza-Suarez, D., Beebe, S., Varshney, R.K., Huttner, E., Kinghorn, B., Banks, R.G., Rubyogo, J.C., Siddique, K.H.M. and W.A. Cowling. 2021. 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. Plant Genome 14:e20156. https://doi.org/10.1002/tpg2.20156
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
Posted: 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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- Renu Saradadevi et al., 2021Multivariate genomic analysis and optimal contribution selection predicts high genetic gains in cooking time, iron, zinc and grain yield in common beans in East Africa
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Acknowledgement: Australian Centre for International Agricultural Research
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