Beauveria bassiana fungal biocontrol for sustainable rice pest management

Technology
Conceptual
University

Research solution evaluating the entomopathogenic fungus Beauveria bassiana as a biological control agent against key above-ground rice pests, including rice stink bugs, stem borers, and rice water weevil. The approach offers a sustainable alternative to chemical insecticides, preserving soil health while limiting non-target effects in rice production systems.

Overview

This research initiative explores the use of Beauveria bassiana (Bb), a well-characterized entomopathogenic fungus, as a biological control agent for managing above-ground insect pests in rice production. The solution targets three economically important pests: rice stink bugs (RSB), stem borers (SBs), and rice water weevil (RWW). By replacing or reducing chemical insecticide applications with a fungal biocontrol agent, the approach aims to protect crop yields while safeguarding soil quality and minimizing non-target ecological impacts.

The value proposition centers on sustainability and integrated pest management. Continuous reliance on chemical pesticides can degrade soil health and harm beneficial organisms. A fungal-based biocontrol offers a dual benefit: effective pest suppression and preservation of the soil ecosystem. This positions the solution as a practical option for rice growers seeking environmentally responsible pest management strategies.

Technical specifications

Target pests:

  • Rice stink bugs (RSB)
  • Stem borers (SBs)
  • Rice water weevil (RWW)

Biocontrol agent: Beauveria bassiana, an entomopathogenic fungus with demonstrated broad-spectrum insecticidal activity and minimal non-target effects.

Greenhouse assay design:

  • Five treatments including three application rates of Bb, a positive control, and a negative control
  • Four replications with three repeats per treatment
  • Cage studies conducted separately for each pest species (SBs, RSB, and RWW adults)
  • Insects exposed to potted rice plants for at least 10 days
  • Assessment of insect mortality at multiple time points post-treatment

Field assay design:

  • Two field locations using randomized complete block design (RCBD) with four replications per treatment
  • Treatment rates informed by greenhouse results, with positive and negative controls
  • Pest population monitoring via sweep net sampling
  • Damage assessment at seedling, tillering, booting, and dough growth stages
  • Grain yield measurement at harvest
Technology readiness level

The research is at an early-to-mid stage of development. Prior studies have demonstrated the efficacy of Beauveria bassiana against other insect pests, such as cotton bollworm, providing a scientific basis for extending its application to rice systems. The current project has not yet been evaluated against rice pests in the USA, and validation through controlled greenhouse and field assays is the immediate next step. The initial study is planned as a one-year effort with the potential for a two-to-three year extension to refine application rates, confirm field efficacy, and assess integration into broader rice pest management programs.


About Texas A&M University, College Station

Texas A&M University in College Station is a comprehensive public research university and the flagship of The Texas A&M University System, combining broad academic strengths with a strong applied‑research culture. Industry collaborates on the Texas A&M‑RELLIS campus—an integrated education, research and testing environment that supports large‑scale experimentation and proving grounds—and through the Texas A&M Transportation Institute’s facilities in Bryan‑College Station. A statewide extension network connects university expertise to companies and communities across all Texas counties, enabling rapid piloting and deployment. Research is supported by competitive federal funding from agencies such as NSF, NIH, DOE, USDA and DoD, alongside state and industry sponsorship. Texas A&M Innovation provides IP management, licensing and commercialization pathways across the system.

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