Literature DB >> 26637536

Disentangling Effects of Vector Birth Rate, Mortality Rate, and Abundance on Spread of Plant Pathogens.

Mark S Sisterson, Drake C Stenger.   

Abstract

Models on the spread of insect-transmitted plant pathogens often fix vector population size by assuming that deaths are offset by births. Although such mathematical simplifications are often justified, deemphasizing parameters that govern vector population size is problematic, as reproductive biology and mortality schedules of vectors of plant pathogens receive little empirical attention. Here, the importance of explicitly including parameters for vector birth and death rates was evaluated by comparing results from models with fixed vector population size with models with logistic vector population growth. In fixed vector population size models, increasing vector mortality decreased percentage of inoculative vectors, but had no effect on vector population size, as deaths were offset by births. In models with logistic vector population growth, increasing vector mortality decreased percentage of inoculative vectors and decreased vector population size. Consequently, vector mortality had a greater effect on pathogen spread in models with logistic vector population growth than in models with fixed vector population size. Further, in models with logistic vector population growth, magnitude of vector birth rate determined time required for vector populations to reach large size, thereby determining when pathogen spread occurred quickly. Assumptions regarding timing of vector mortality within a time step also affected model outcome. A greater emphasis of vector entomologists on studying reproductive biology and mortality schedules of insect species that transmit plant pathogens will facilitate identification of conditions associated with rapid growth of vector populations and could lead to development of novel control strategies.

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Year:  2016        PMID: 26637536     DOI: 10.1093/jee/tov329

Source DB:  PubMed          Journal:  J Econ Entomol        ISSN: 0022-0493            Impact factor:   2.381


  2 in total

1.  Modelling interference between vectors of non-persistently transmitted plant viruses to identify effective control strategies.

Authors:  Marta Zaffaroni; Loup Rimbaud; Ludovic Mailleret; Nik J Cunniffe; Daniele Bevacqua
Journal:  PLoS Comput Biol       Date:  2021-12-28       Impact factor: 4.475

Review 2.  Modelling cassava production and pest management under biotic and abiotic constraints.

Authors:  Vasthi Alonso Chavez; Alice E Milne; Frank van den Bosch; Justin Pita; C Finn McQuaid
Journal:  Plant Mol Biol       Date:  2021-07-27       Impact factor: 4.335

  2 in total

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