Evolutionary process modeling with Bayesian inference of Spodoptera frugiperda ballooning and walking dispersal in Bt and non-Bt cotton plant mixtures

• Autor(a) principal: Malaquias, José Bruno [UNESP]
• Data de Publicação: 2021
• Outros Autores: Godoy, Wesley Augusto Conde, Caprio, Michael A., Pachú, Jéssica Karina da Silva, de Sousa Ramalho, Francisco, Omoto, Celso, Ferreira, Claudia Pio [UNESP]
• Tipo de documento: Artigo
• Idioma: eng
• Título da fonte: Repositório Institucional da UNESP
• Texto Completo: http://dx.doi.org/10.1111/eea.13045; http://hdl.handle.net/11449/207584
• topic: active dispersal; Bt fields; contamination; fall armyworm; integrated pest management, transgenic crops, Bacillus thuringiensis; Lepidoptera; Noctuidae; passive dispersal; refuge areas; resistance

Transgenic crops expressing Bacillus thuringiensis Berliner (Bt) have been cultivated throughout the world as a great technological tool for developing integrated pest management. We hypothesized that artificial landscapes containing Bt and non-Bt cotton plants (Gossypium hirsutum L., Malvaceae) at small scales could influence dispersal by ballooning of Spodoptera frugiperda (JE Smith) (Lepidoptera: Noctuidae). We also simulated how ballooning dispersal combined with walking movement could impact resistance evolution in various scenarios of plant mixtures involving non-Bt and Bt cotton plants with high-dose and low-dose events. The ballooning frequency of Cry1F-resistant larvae in a treatment with non-Bt cotton as a natal plant and Bt cotton in adjacent sites was two-fold lower compared to when Bt cotton was the natal plant and non-Bt cotton was in the adjacent sites. Our model results suggested that the higher rate of walking movement associated with ballooning promoted faster resistance evolution in low-dose events, and contamination of Bt cotton fields with non-Bt cotton plants in a high-dose event showed the longest time to resistance. Therefore, a high rate of walking movement associated with ballooning negatively impacted the time for resistance to evolve in low-dose events.