Mosaics often outperform pyramids : insights from a model comparing strategies for the deployment of plant resistance genes against viruses in agricultural landscapes
© 2017 INRA. New Phytologist © 2017 New Phytologist Trust.
| Veröffentlicht in: | The New phytologist. - 1979. - 216(2017), 1 vom: 01. Okt., Seite 239-253 |
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| Format: | Online-Aufsatz |
| Sprache: | English |
| Veröffentlicht: |
2017
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| Zugriff auf das übergeordnete Werk: | The New phytologist |
| Schlagworte: | Journal Article durable disease resistance landscape epidemiology major resistance gene mosaic of plant resistance pyramids of plant resistance regional deployment strategy |
| Zusammenfassung: | © 2017 INRA. New Phytologist © 2017 New Phytologist Trust. The breakdown of plant virus resistance genes is a major issue in agriculture. We investigated whether a set of resistance genes would last longer when stacked into a single plant cultivar (pyramiding) or when deployed individually in regional mosaics (mosaic strategy). We modeled the genetic and epidemiological processes shaping the demogenetic dynamics of viruses under a multilocus gene-for-gene system, from the plant to landscape scales. The landscape consisted of many fields, was subject to seasonality, and of a reservoir hosting viruses year-round. Strategy performance depended principally on the fitness costs of adaptive mutations, epidemic intensity before resistance deployment and landscape connectivity. Mosaics were at least as good as pyramiding strategies in most production situations tested. Pyramiding strategies performed better only with slowly changing virus reservoir dynamics. Mosaics are more versatile than pyramiding strategies, and we found that deploying a mosaic of three to five resistance genes generally provided effective disease control, unless the epidemics were driven mostly by within-field infections. We considered the epidemiological and evolutionary mechanisms underlying the greater versatility of mosaics in our case study, with a view to providing breeders and growers with guidance as to the most appropriate deployment strategy |
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| Beschreibung: | Date Completed 15.05.2018 Date Revised 30.09.2020 published: Print-Electronic Citation Status MEDLINE |
| ISSN: | 1469-8137 |
| DOI: | 10.1111/nph.14701 |