Journal article
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, Vol.14(3), Art. e20156
2021
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.
Details
- Title
- 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
- Authors/Creators
- R. Saradadevi (Author/Creator) - The University of Western AustraliaC. Mukankusi (Author/Creator) - Alliance of Bioversity International & International Center for Tropical Agriculture (CIAT) PO Box 6247 Kampala UgandaL. Li (Author/Creator) - University of New EnglandW. Amongi (Author/Creator) - Alliance of Bioversity International & International Center for Tropical Agriculture (CIAT) PO Box 6247 Kampala UgandaJ.P. Mbiu (Author/Creator) - Mikocheni Agricultural Research InstituteB. Raatz (Author/Creator) - Alliance of Bioversity International & International Center for Tropical Agriculture (CIAT) Cali ColombiaD. Ariza (Author/Creator) - Alliance of Bioversity International & International Center for Tropical Agriculture (CIAT) Cali ColombiaS. Beebe (Author/Creator) - Alliance of Bioversity International & International Center for Tropical Agriculture (CIAT) Cali ColombiaR.K. Varshney (Author/Creator) - International Crops Research Institute for the Semi-Arid TropicsE. Huttner (Author/Creator) - Australian Centre for International Agricultural ResearchB. Kinghorn (Author/Creator) - University of New EnglandR. Banks (Author/Creator) - University of New EnglandJ.C. Rubyogo (Author/Creator) - International Center for Tropical AgricultureK.H.M. Siddique (Author/Creator) - The University of Western AustraliaW.A. Cowling (Author/Creator) - The University of Western Australia
- Publication Details
- The Plant Genome, Vol.14(3), Art. e20156
- Publisher
- Wiley Periodicals LLC on behalf of Crop Science Society of America
- Identifiers
- 991005545528107891
- Copyright
- © 2021 The Authors.
- Murdoch Affiliation
- Centre for Crop and Food Innovation; State Agricultural Biotechnology Centre
- Language
- English
- Resource Type
- Journal article
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- Collaboration types
- Industry collaboration
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- Citation topics
- 3 Agriculture, Environment & Ecology
- 3.4 Crop Science
- 3.4.424 Crop Yield Optimization
- Web Of Science research areas
- Genetics & Heredity
- Plant Sciences
- ESI research areas
- Plant & Animal Science