Saradadevi, R and Mukankusi, C and Li, L and Amongi, W and Mbiu, J P and Raatz, B and Ariza, D and Beebe, S and Varshney, R K and Huttner, E and Kinghorn, B and Banks, R and Rubyogo, J C and Siddique, K H M and Cowling, W A (2021) 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. The Plant Genome, 14 (3). pp. 1-16. ISSN 1940-3372
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Abstract
Common bean (Phaseolus vulgaris L.) is important in African diets for protein, iron (Fe), and zinc (Zn), but traditional cultivars have long cooking time (CKT), which increases the time, energy, and health costs of cooking. Genomic selection 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 single nucleotide polymorphism 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 and Zn (0.91 ± 0.06), GY and Fe (0.66 ± 0.17), GY and Zn (0.44 ± 0.19), CKT and Fe (−0.57 ± 0.21), and CKT and Zn (−0.67 ± 0.20). Optimal contributions 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. Genomic selection with OCS will accelerate breeding of high-yielding, biofortified, and rapid cooking African common bean cultivars.
| Item Type: | Article |
|---|---|
| Divisions: | Center of Excellence in Genomics and Systems Biology |
| CRP: | UNSPECIFIED |
| Uncontrolled Keywords: | common bean, genomic analysis, genetic gains, grain yield, iron, zinc |
| Subjects: | Others > Crop Yield Others > Genetics and Genomics Others > Food and Nutrition Others > East Africa |
| Depositing User: | Mr Nagaraju T |
| Date Deposited: | 17 Apr 2025 04:49 |
| Last Modified: | 17 Apr 2025 04:49 |
| URI: | http://oar.icrisat.org/id/eprint/13038 |
| Official URL: | https://acsess.onlinelibrary.wiley.com/doi/full/10... |
| Projects: | UNSPECIFIED |
| Funders: | UNSPECIFIED |
| Acknowledgement: | The collection of phenotypic and genotypic data for the Africa bean panel was coordinated by CIAT Uganda under the CGIAR Tropical Legumes III project funded by the Bill & Melinda Gates Foundation. Field trials in East Africa were coordinated by the Pan Africa Bean Breeding Alliance (PABRA) and funded by the Swiss Agency for Development and Cooperation (SDC) and Global Affairs Canada (GAC). Compilation and analysis of data was funded by the Australian Centre for International Agricultural Research (ACIAR) project CROP/2018/132. We acknowledge the input of six national agricultural research systems partners in East Africa: National Crops Resources Research Institute, Uganda (NaCRRI); Tanzanian Agricultural Research Institute (TARI); Rwanda Agriculture and Animal Resources Development Board (RAB); Institut des Sciences Agronomiques du Burundi (ISABU); Ethiopian Institute of Agricultural Research (EIAR); and Kenya Agricultural and Livestock Research Organization (KALRO). Additional funding from the institutions of the coauthors supported this work. We thank Klint Gore (Animal Genetics and Breeding Unit, University of New England, Australia) for his assistance with SNP marker imputation. |
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