2019
DOI: 10.1101/774869
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A multi-seasonal model of plant-nematode interactions and its use to identify optimal plant resistance deployment strategies

Abstract: Root-knot nematodes (RKNs) are soil-borne polyphagous pests with major impact on crop yield worlwide. Resistant crops efficiently control avirulent RKNs, but favour the emergence of virulent forms. Virulence being associated with fitness costs, susceptible crops counter-select virulent RKNs. In this study we identify optimal rotation strategies between susceptible and resistant crops to control RKNs and maximize crop yield. 1• We developed an epidemiological model describing the within-season dynamics of aviru… Show more

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Cited by 1 publication
(2 citation statements)
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References 85 publications
(73 reference statements)
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“…The crop rotation models presented in our introduction [13,14,15] are not adapted to the dynamics of R. similis because the studied pests have different life cycles and sometimes different hosts that have different symptoms of the infestation. Also, since R. similis does not have a large diffusive spread in the soil [62], a spatially explicit model is not necessary when studying its dynamics.…”
Section: Discussionmentioning
confidence: 99%
See 1 more Smart Citation
“…The crop rotation models presented in our introduction [13,14,15] are not adapted to the dynamics of R. similis because the studied pests have different life cycles and sometimes different hosts that have different symptoms of the infestation. Also, since R. similis does not have a large diffusive spread in the soil [62], a spatially explicit model is not necessary when studying its dynamics.…”
Section: Discussionmentioning
confidence: 99%
“…For instance, several mathematical and computational models have been proposed for soilborne pests in the literature. Some crop rotation models have been proposed to control the dynamics of the root-knot nematode Meloidogyne incognita [13], the root-knot nematode Meloidogyne arenaria [14] and the root lesion nematode Pratylenchus penetrans [15]. Some reaction-diffusion models have also been proposed to link the temporal and spatial dynamics of soilborne pathogens [16].…”
Section: Introductionmentioning
confidence: 99%