Epidemiology and Population Dynamics: Modelisation, Monitoring and Management

Marchand, Geneviève; Nicot, Philippe C.; Albajes, R.; Carisse, Odile

doi:10.1007/978-3-030-22304-5_7

Cited by 4 publications

(3 citation statements)

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“…Empirical models are derived from measures of population size and age, while mechanistic models are derived from differential equations relating growth rates to population size (France and Thornley, 1984). Modelling the development of pathogens, establishing thresholds, and monitoring pest populations facilitate the implementation of integrated disease management in greenhouse crop production systems (Marchand et al, 2020).…”

Section: Introductionmentioning

confidence: 99%

Fusarium oxysporum f. sp. lycopersici biomass variations under disease control regimes using Trichoderma and compost

SALEH,

WIDYAWAN,

SHARAFADDIN

et al. 2023

Phytopathol. Mediterr.

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A comprehensive understanding of population dynamics of pathogens and bioagents in plant rhizospheres is important for improving organic farming. Fusarium oxysporum f. sp. lycopersici (FOL30) causes Fusarium wilt of tomato. In this study, we compared biomass variations of FOL30 under different disease control regimes, using Trichoderma asperellum TA23 strain, compost, or their combination. Biomass variations of FOL30 and TA23 were observed for 13 weeks using quantitative real-time PCR. Separate applications of TA23, compost, and their combination all reduced FOL biomass when compared to experimental controls. Regression analyses of the qPCR data showed that FOL populations fitted curvilinear polynomial order 3 regression models (R2 = 0.87 to 0.95). Areas under the population dynamic curves (AUPDCs; log10 ng DNA week-1 g-1 soil) were: 43.8 from FOL30 alone, 36.6 from FOL30 plus TA23, 25.4 from FOL30 plus compost, and 25.5 from FOL30 plus TA23 plus compost. These results indicate that the individual applications of TA23 or compost, or their combination, decreased the FOL biomass. The negative correlation between TA23 and FOL30 populations showed that the compost and biocontrol agent reduced FOL pathogen populations. This study demonstrates that compost fortified with T. asperellum TA23 decreased FOL populations and reduced disease, and that their use is a promising strategy for managing Fusarium wilt of tomato in organic farming.

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Section: Introductionmentioning

confidence: 99%

Fusarium oxysporum f. sp. lycopersici biomass variations under disease control regimes using Trichoderma and compost

SALEH,

WIDYAWAN,

SHARAFADDIN

et al. 2023

Phytopathol. Mediterr.

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“…Understanding the factors that drive pest population dynamics is a major challenge for optimizing integrated pest management (IPM) in agroecosystems 1,2 . The main objective of IPM strategies is the regulation of pest populations, with the central principles including monitoring and treatment decisions based on critical thresholds 3 .…”

Section: Introductionmentioning

confidence: 99%

“…Understanding the factors that drive pest population dynamics is a major challenge for optimizing integrated pest management (IPM) in agroecosystems. 1,2 The main objective of IPM strategies is the regulation of pest populations, with the central principles including monitoring and treatment decisions based on critical thresholds. 3 Intervening at the right time in the pest population dynamics makes it possible to mitigate the environmental impact of pest control while maintaining a satisfactory yield level.…”

Section: Introductionmentioning

confidence: 99%

Population dynamics of a poultry hematophagous mite: characterization of the population growth and identification of factors of its slowdown using closed mesocosms

Dupray

Blatrix

Roy

et al. 2022

Pest Management Science

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BACKGROUND: A thorough knowledge of the population dynamics of pests and of the main factors affecting population growth is an important prerequisite for the development of effective control strategies. Failures of various treatments aimed at regulating populations of Dermanyssus gallinae are regularly reported in poultry farms and pullulations occur very quickly after first detection. To finely characterize population dynamics of D. gallinae, and to identify the factors modulating population growth, we conducted two successive multi-generation experiments using closed mesocosms equipped with or without automatic counters and housing a host full-or part-time (three nights per week). RESULTS: Population growth was very rapid and the adult to juvenile ratio very different from the prediction by a mathematical model. A male-biased sex ratio was observed in some mesocosms from 21 days and in most mesocosms from 35 days of population growth originating from an inoculum of adult females. A dramatic slowdown in growth was measured in mesocosms equipped with trackers, where the mites' path to the host was constrained. The slowdown in population growth induced by the intermittent presence of the host compared to its full-time presence was much less marked.CONCLUSION: These findings suggest avenues of research for new management methods. They question the relevance of a critical threshold based on traditional trap monitoring to manage D. gallinae. Our results highlight a unique characteristic of D. gallinae that makes it a recalcitrant case to threshold-based practices recommended for integrated pest management (IPM) against other arthropod pests. The dramatic effect of a physical constraint for the mite to access the host (unnatural constrained path) confirms an observation made in 1917 and is a reason to design perches that are less conducive to parasite traffic.

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