Computational models to improve surveillance for cassava brown streak disease and minimize yield loss.

ABSTRACT: Cassava brown streak disease (CBSD) is a rapidly spreading viral disease that affects a major food security crop in sub-Saharan Africa. Currently, there are several proposed management interventions to minimize loss in infected fields. Field-scale data comparing the effectiveness of these interventions individually and in combination are limited and expensive to collect. Using a stochastic epidemiological model for the spread and management of CBSD in individual fields, we simulate the effectiveness of a range of management interventions. Specifically we compare the removal of diseased plants by roguing, preferential selection of planting material, deployment of virus-free 'clean seed' and pesticide on crop yield and disease status of individual fields with varying levels of whitefly densi

SUBMITTER: Ferris AC 

PROVIDER: S-EPMC7331984 | biostudies-literature | 2020 Jul

REPOSITORIES: biostudies-literature