A study on control to soybean aphid via mathematical modelling

• Grant number: 16/04299-9
• Support Opportunities: Regular Research Grants
• Duration: February 01, 2017 - July 31, 2019
• Field of knowledge: Biological Sciences - Ecology - Applied Ecology
• Principal Investigator: Magda da Silva Peixoto
• Grantee: Magda da Silva Peixoto
• Host Institution: Centro de Ciências e Tecnologias para a Sustentabilidade (CCTS). Universidade Federal de São Carlos (UFSCAR). Sorocaba , SP, Brazil
• Associated researchers: Estevão Esmi Laureano ; Laécio Carvalho de Barros ; Rogério Hartung Toppa ; Silvia Maria Simões de Carvalho

Abstract

This project proposes a chemical control to soybean aphid by fuzzy linear programming and fuzzy optimal control (via fuzzy transforms). The model includes a fuzzy predator-prey system in order to describe the interaction between the prey, {Aphis glycines} (Hemiptera: Aphididae) - the soybean aphid, and its predator, {Orius insidiosus} (Hemiptera: Anthocoridae). Subsequently, we include a comparison between the control by fuzzy optimal control and the control by fuzzy linear programming. Economic thresholds were already developed for this pest. On the one hand, the soybean aphid has still not found in Brazil. Therefore, before any eventual invasion, a predictive model to enhance control program is desirable. On the other hand, the soybean aphid has become the most devastating insect pest of soybeans in the United States. Brazil is the second largest exporter of soybean at present, after the USA and before Argentina. According to the Bureau of Agriculture of the USA, it has been estimated that Brazil will be the largest soybean exporter in 2023. (AU)

Scientific publications

(References retrieved automatically from Web of Science and SciELO through information on FAPESP grants and their corresponding numbers as mentioned in the publications by the authors)

PEIXOTO, M. S.; CARVALHO, S. M. S.; BARROS, L. C.; BASSANEZI, R. C.; LAUREANO, E. E.; LODWICK, W. A.; LIU, J; LU, J; XU, Y; MARTINEZ, L; et al. A control to soybean aphid via fuzzy linear programming. DATA SCIENCE AND KNOWLEDGE ENGINEERING FOR SENSING DECISION SUPPORT, v. 11, p. 6-pg., 2018-01-01. (13/24148-7, 16/04299-9, 10/06822-4)

PEIXOTO, MAGDA S.; JONSSON, CLAUDIO M.; PARAIBA, LOURIVAL C.; BARROS, LAECIO C.; LODWICK, WELDON A.; BARRETO, GA; COELHO, R. Estimating the Xenobiotics Mixtures Toxicity on Aquatic Organisms: The Use of alpha-level of the Fuzzy Number. FUZZY INFORMATION PROCESSING, NAFIPS 2018, v. 831, p. 11-pg., 2018-01-01. (16/04299-9, 10/06294-8)