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Bt Rice in Asia: Potential Benefits, Impact, and Sustainability

  • Michael B. Cohen
  • Mao Chen
  • J. S. Bentur
  • K. L. Heong
  • Gongyin Ye
Part of the Progress in Biological Control book series (PIBC, volume 5)

Abstract

Numerous lines of genetically modified rice expressing cry genes from Bacillus thuringiensis (Bt) have been shown to confer resistance to lepidopterous pests of rice (stem borers and leaffolders) under laboratory and field conditions. Stem borers and leaffolders are chronic pests that generally do not cause high yield losses on an individual field basis, but their feeding damage results in substantial cumulative yield losses in rice growing countries because of their widespread occurrence. The adoption of Bt rice will therefore provide modest but consistent yield increases. Understanding farmer decision-making practices will be necessary to achieve the full potential of Bt rice to decrease insecticide use. No negative effects of Bt rice on predators, parasitoids, non-lepidopterous herbivores, or soil invertebrates have been detected, except when natural enemies are fed Bt-intoxicated prey. Effects of Bt rice on soil microorganisms have been observed but have not been shown to have negative consequences for soil health. Despite the fact that outcrossing of Bt genes to wild and weedy rice will almost certainly occur, possible consequences of outcrossing have received little study. There is a high risk of development of pest resistance to Bt rice, because of the challenge of implementing resistance management programs for millions of small farmers and because the major target pests (the stem borers Scirpophaga incertulas and Chilo suppressalis) do not have important alternative hosts that can provide natural refuges. As of December 2007, Bt rice had not been commercialized in any country.

Keywords

Transgenic Rice Stem Borer Weedy Rice Rice Stem Borer Striped Stem Borer 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer Science + Business Media B.V 2008

Authors and Affiliations

  • Michael B. Cohen
    • 1
  • Mao Chen
    • 2
  • J. S. Bentur
    • 3
  • K. L. Heong
    • 4
  • Gongyin Ye
    • 5
  1. 1.EdmontonCanada
  2. 2.Cornell University/NYSAESGenevaUSA
  3. 3.Directorate of Rice ResearchHyderabadIndia
  4. 4.International Rice Research InstituteLos BañosThe Philippines
  5. 5.Zhejiang UniversityZhejiangChina

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