Determine the efficiency of fungicide application based on a forecasting system for Black Sigatoka (My cosphaerella fijiensis) in plantain


Project Code:
Not Available

Start Date:

End Date:

CRSP Phase:
Phase 2

Not Available



Lead University:

Other Partners:
INIAP-EE,Pichilingue (Ecuador); Ohio State University, Virginia Tech (US)

Principal Investigator(s):
Carmen Suarez, Danilo Vera (INIAP-E.E. Pichilingue); Jose-Cede?o (INIAP-IPMCRSP); Mike Ellis , Roger Williams (Ohio State University); George Norton, Jeff Alwang (Virginia Tech)

Co-Principal Investigator(s):


Research conducted under this project focused on developing effective technology for plantain production. Research has shown that the use of fungicides may be an important IPM strategy for control of Black Sigatoka (BS). BS, caused by (Mycosphaerella fijiensis), is a major cause of reduced plantain production in Ecuador. These constraints are the same in banana. However, banana is a high value crop of great economic importance in Ecuador. Banana production relies on high technological input and high pesticide use, mostly fungicide. In plantain, farmers often follow banana export co. recommendations for spraying against BS. Determination of the minimum number of sprays required for effective BS control would benefit farmers and insure satisfactory yield with better economic returns.


1. Determine the most effecitve fungicide application timing for controlling Black Sigatoka in plantain 2. Establish appropriate methdology for the efficient use of systemic and protectant fungicides for control of black Sigatoka in plantain


Researchers found that disease forecasting may be an important tool to properly time and minimize fungicides for Black Sigatoka control in plantain. Combined with natural resistance, a forecasting system may result in considerable savings on production costs of plantain.

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