Modeling fall armyworm resistance in Bt-maize areas during crop and off-seasons

نویسندگان

چکیده

Entomologists have often used computational modeling to study the dynamics of insects in agricultural landscapes. Recently, important issues such as movement adults and immatures associated with insect resistance GMO (genetically modified organism) crops been addressed using models. We developed an individual-based model cellular automata approach (CA) investigate how intercropping system composed maize engineered Bacillus thuringiensis (Bt) gene, refuge areas (non-Bt maize), grasses combined off-season periods might influence evolution Spodoptera frugiperda (Lepidoptera: Noctuidae), one leading pests targeted by GMOs. designed Bt non-Bt plants two different arrangements: (a) a seed mixture (b) strips rows, adding adjacent field. added seasonal planting (crop season off-season), evaluate total six scenarios. followed crop calendar from United States create simulations close practice. The results showed that frequency allele was strongly related landscape arrangements their dynamics. Since adult are mobile, seed-mixture scenario increased most (95.86%), (82.10%), without grass fields. harvest made it possible reduce below 1%. Based on our results, we can expect maintenance pasture areas, for instance next corn crops, will act reservoir susceptible during periods.

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ژورنال

عنوان ژورنال: Journal of Pest Science

سال: 2022

ISSN: ['1612-4758', '1612-4766']

DOI: https://doi.org/10.1007/s10340-022-01531-2