The DOI matches its Crossref record; 58 of the 58 references it cites were found in a registry or an index.
Combining Selective Pressures to Enhance the Durability of Disease Resistance Genes
Open accessAbstract
The efficacy of disease resistance genes in plants decreases over time because of the selection of virulent pathogen genotypes. A key goal of crop protection programs is to increase the durability of the resistance conferred by these genes. The spatial and temporal deployment of plant disease resistance genes is considered to be a major factor determining their durability. In the literature, four principal strategies combining resistance genes over time and space have been considered to delay the evolution of virulent pathogen genotypes. We reviewed this literature with the aim of determining which deployment strategy results in the greatest durability of resistance genes. Although theoretical and empirical studies comparing deployment strategies of more than one resistance gene are very scarce, they suggest that the overall durability of disease resistance genes can be increased by combining their presence in the same plant (pyramiding). Retrospective analyses of field monitoring data also suggest that the pyramiding of disease resistance genes within a plant is the most durable strategy. By extension, we suggest that the combination of disease resistance genes with other practices for pathogen control (pesticides, farming practices) may be a relevant management strategy to slow down the evolution of virulent pathogen genotypes.
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Corkley, I., Fraaije, B., & Hawkins, N. (2022) · Plant Pathology · doi:10.1111/ppa.13467 · Cited by 280
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Fukami, J., Ollero, F. J., Megías, M., & Hungria, M. (2017) · AMB Express · doi:10.1186/s13568-017-0453-7 · Cited by 211
Metadata
- Authors
- REX Consortium
- Venue
- Frontiers in Plant Science
- Publisher
- Frontiers Media SA
- Published
- 2016-12-23
- Volume
- 7
- Pages
- 1916-1916
- ISSN
- 1664-462X (ISSN-L)
- OpenAlex
- W2582754818
- Cited by
- 574
- References
- 58
- FWCI
- 93.35
- Type
- journal article
- Language
- en
- Open access
- gold
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.