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Related Experiment Video

Updated: Dec 8, 2025

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Predicting Rice Stem Stink Bug Population Dynamics Based on GAMLSS Models.

E J Seidel1, J B Pazini2, V L D Tomazella3

  • 1Department of Statistic, Federal University of Santa Maria, Santa Maria, RS, Brazil.

Environmental Entomology
|September 19, 2020
PubMed
Summary
This summary is machine-generated.

Early monitoring of the rice stem stink bug (Tibraca limbativentris) is crucial for Brazilian rice fields. Monitoring should begin by 45 days after plant emergence (DAE) at paddy edges for effective pest management.

Keywords:
Integrated Pest Managementmodelingnegative binomial regressionrice cycle time

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Area of Science:

  • Agricultural Entomology
  • Pest Management
  • Statistical Modeling

Background:

  • The rice stem stink bug (Tibraca limbativentris) poses a significant threat to Brazilian rice production.
  • Effective pest management requires understanding insect population dynamics throughout the rice phenological cycle.

Purpose of the Study:

  • To model the population variation of T. limbativentris in flooded rice cultivation.
  • To determine optimal timing and spatial strategies for pest management interventions.

Main Methods:

  • Regression models (Poisson, Zero Inflated Poisson, Negative Binomial, and their zero-inflated variants) were employed.
  • Population data of T. limbativentris were analyzed across the rice phenological cycle and within crop geography.

Main Results:

  • T. limbativentris populations significantly increased with rice plant development (phenology).
  • Insect populations were concentrated at the edges of rice paddies, serving as entry points.
  • Optimal monitoring should commence by 45 days after plant emergence (DAE) at paddy edges.

Conclusions:

  • Predictive models can forecast T. limbativentris occurrence in commercial flooded rice crops.
  • 45 and 60 DAE represent critical decision-making periods for T. limbativentris control.
  • Integrated pest management strategies should prioritize early detection and targeted interventions at paddy edges.