Agent-Based Spatial Dynamic Modeling of Diatraea saccharalis and the Natural Parasites Cotesia flavipes and Trichogramma galloi in Sugarcane Crops

Author:

Alves Rayanna Barroso de Oliveira1ORCID,Tomasiello Diego Bogado2,Almeida Cláudia Maria de1ORCID,Rosalen David Luciano3ORCID,Pereira Luiz Henrique4ORCID,Silva Hernande Pereira da5,Rodrigues Cesar Leandro6

Affiliation:

1. Division for Earth Observation and Geoinformatics, National Institute for Space Research (INPE), Av. dos Astronautas 1758, São José dos Campos 12227-010, Brazil

2. LabGeo—Laboratory for Geospatial Analysis, Polytechnic School, University of São Paulo, Av. Prof. Almeida Prado trav.2, n. 83, Edifício Paula Souza (Civil Engineering Biulding), São Paulo 05508-070, Brazil

3. Department of Engineering, School of Agricultural and Veterinary Sciences, São Paulo State University (UNESP), Via de Acesso Professor Paulo Donato Castellane S/N, Jaboticabal 14884-900, Brazil

4. IDGeo Agricultural Inteligence, Av. R. Cezira Giovanoni Moretti 655, Piracicaba 13414-157, Brazil

5. Rural Engineering Department, Rural Federal University of Pernambuco (UFRPE), Rua Dom Manuel de Medeiros S/N, Recife 52171-900, Brazil

6. Agriculture and Precision Supervision, Agrodoce, Parque da Colina, Pederneiras 17280-000, Brazil

Abstract

In recent years, sugarcane production areas in Brazil have experienced a slower evolution in productivity, and one of the reasons for this is related to the increase in phytosanitary problems, such as the presence of pests. Nevertheless, limited attention has been paid to the development of tools for simulating the spatial dynamics of pests, including their impact on production. This study aims to simulate the potential population growth and dispersal of Diatraea saccharalis (sugarcane borer) in sugarcane crop fields and its estimated impacts on this crop production and to simulate biological control strategies. We developed an agent-based model to simulate the pest population and its dispersal in a one-hectare sugarcane crop field in Pederneiras, São Paulo, Brazil, delimited with the aid of satellite imagery, considering two scenarios: the first without biological control and the second with biological control using the parasites Trichogramma galloi and Cotesia flavipes. The model was developed using the NetLogo 6.3.0 software. The results indicate that the model accurately reproduced the infestation rates reported in the literature. Additionally, it provided insights into expected pest dispersal, potential production losses, and how the use of T. galloi in association with C. flavipes could mitigate production losses. We believe that the model can be used to simulate different biological control strategies and the implementation of integrated pest management (IPM) to achieve adequate control levels and greater productivity in sugarcane production.

Funder

Brazilian Coordination for the Upgrade of Graduate Personnel CAPES

São Paulo Research Foundation

Brazilian National Council for Scientific and Technological Development

Brazilian Space Agency–AEB

Publisher

MDPI AG

Reference38 articles.

1. CONAB−Brazilian Supply Company (2022, April 15). Sugar Cane Harvest Bulletin. First Survey, Available online: https://www.conab.gov.br/info-agro/safras/cana/boletim-da-safra-de-cana-de-acucar.

2. Fonseca, E.M.S., and Araújo, R.C. (2015). Fitossanidade: Princípios Básicos e Métodos de Controles e Doenças, Saraiva. [1st ed.].

3. Gallo, D., Nakano, O., Silveira Neto, S., Carvalho, R.L., and De Batista, G.C. (1988). Manual de Entomologia Agrícola, Agronômica Ceres.

4. Rodero, D.P. (2016). Modelagem matemática da interação populacional entre Diatraea saccharalis (Fabricius, 1794) e o parasitoide Cotesia flavipes (Cameron, 1891). [Master’s Thesis, Universidade de São Carlos].

5. Cruz, I. (2022, December 12). Lepdoptera como Pragas de Milho. Available online: https://ainfo.cnptia.embrapa.br/digital/bitstream/item/31231/1/doc-111.pdf.

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