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Adult survival of Dalbulus maidis during the maize off-season under diverse environmental conditions: A stochastic modeling approach

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  • Barriga Rubio, R.H.
  • Otero, M.

Abstract

Dalbulus maidis, a key maize pest in the Americas, poses significant challenges to agricultural productivity due to its role as a vector for Corn Stunt Disease and its dependency on maize for survival. This study models the dynamics of adult survival of these leafhoppers during the maize off-season under diverse environmental conditions using Weibull distributions and a stochastic age-based compartmental framework. Temperature-dependent survival was validated against experimental data, revealing distinct mortality trends across different environments: presence of maize plants, presence of alternative sources of food, hydration or shelter, and complete absence of water and food. Our findings emphasize the critical influence of the environment on pest resilience, providing insight into its persistence during the maize off-seasons. The proposed model offers a solid foundation for refining pest management practices and enhancing crop protection in diverse agroecosystems.

Suggested Citation

  • Barriga Rubio, R.H. & Otero, M., 2025. "Adult survival of Dalbulus maidis during the maize off-season under diverse environmental conditions: A stochastic modeling approach," Ecological Modelling, Elsevier, vol. 510(C).
    • Handle: RePEc:eee:ecomod:v:510:y:2025:i:c:s030438002500345x
    DOI: 10.1016/j.ecolmodel.2025.111359
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    References listed on IDEAS

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    1. Peng, Zisen & Xiao, Zhengyang & Xu, Hao & Yan, Yuhang & Zhu, Wenqian & Wu, Yanghui & Zheng, Lifei & Wei, Yongsheng, 2025. "Modeling and analysis of maize agroecosystem dynamics with stresses," Ecological Modelling, Elsevier, vol. 510(C).
    2. Rossini, Luca & Bono Rosselló, Nicolás & Benhamouche, Ouassim & Contarini, Mario & Speranza, Stefano & Garone, Emanuele, 2025. "A general DDE framework to describe insect populations: Why delays are so important?," Ecological Modelling, Elsevier, vol. 499(C).
    3. Barriga Rubio, R.H. & Otero, M., 2023. "Stochastic modeling of Dalbulus maidis, vector of maize diseases," Theoretical Population Biology, Elsevier, vol. 154(C), pages 51-66.
    4. Cabrini, Silvina & Colussi, Joana & Paulson, Nick, 2024. "Spread of Corn Stunt Disease Lowers Production Expectations in Argentina," farmdoc daily, University of Illinois at Urbana-Champaign, Department of Agricultural and Consumer Economics, vol. 14(100).
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