Use of Wild Relatives and Closely Related Species to Adapt Common Bean to Climate Change
By T. Porch, J. Beaver, D. Debouck, Scott A. Jackson, J. Kelly, H. Dempewolf. 2013
166 citations recorded by the source corpus.
Common bean (Phaseolus vulgaris L.) is an important legume crop worldwide. However, abiotic and biotic stress limits bean yields to <600 kg ha−1 in low-income countries. Current low yields result in food insecurity, while demands for increased yields to match the rate of population growth combined with the threat of climate change are significant. Novel and significant advances in genetic improvement using untapped genetic diversity available in crop wild relatives and closely related species must be further explored. A meeting was organized by the Global Crop Diversity Trust to consider strategies for common bean improvement. This review resulted from that meeting and considers our current understanding of the genetic resources available for common bean improvement and the progress that has been achieved thus far through introgression of genetic diversity from wild relatives of common bean, and from closely related species, including: P. acutifolius, P. coccineus, P. costaricensis and P. dumosus. Newly developed genomic tools and their potential applications are presented. A broad outline of research for use of these genetic resources for common bean improvement in a ten-year multi-disciplinary effort is presented.
Subfields: Plant Science
View Paper: https://www.semanticscholar.org/paper/d1f82148a22cd14aa5446f6a9004fb5cd9f29d49
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Citations in the corpus
- Legume Crops Phylogeny and Genetic Diversity for Science and Breeding (2015, background): “bolivianus Piperare in the quaternary genepool of common bean, and no confirmed crosses among these species have been possible (Porch et al., 2013).”
- Past and Future Use of Wild Relatives in Crop Breeding (2017, background): “In many cases, such as common bean, wide hybridization is performed initially with a large number of accessions, to assess combining ability, and then with a smaller number of carefully selected lines for specific trait-based analyses (Porch et al., 2013).”