Identification and analysis of factors in management of banana fungal diseases: Case of Sigatoka (Mycosphaerella fijiensis. Mulder) and Fusarium (Fusarium oxysporum f. sp. cubense (Foc) diseases in Arumeru District

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Research Paper 01/07/2017
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Identification and analysis of factors in management of banana fungal diseases: Case of Sigatoka (Mycosphaerella fijiensis. Mulder) and Fusarium (Fusarium oxysporum f. sp. cubense (Foc) diseases in Arumeru District

Khalfan Ramadhani, Dina Machuve, Kennedy Jomanga
J. Biodiv. & Environ. Sci. 11(1), 69-75, July 2017.
Copyright Statement: Copyright 2017; The Author(s).
License: CC BY-NC 4.0

Abstract

In recent years, the application of Information and Communication Technology (ICT) in agriculture, governance and education has indicated positive impact in terms of efficiency. However, this potential has not been fully exploited by banana crops farmers in managing banana diseases (Sigatoka and Fusarium wilt diseases), that cause low productivity in bananas. A survey on banana diseases was conducted in Arumeru district located in Arusha region, Tanzania. The study aimed at analyzing the two banana fungal diseases and the weather factors influencing them for the purpose of developing an early warning system for management of banana fungal diseases. Data were collected using self-administered questionnaires to farmers and extension officers, and from two weather stations (Enza Zaden Africa Ltd and Tengeru Met Station Arumeru). The results from analysis indicated that 94% of farmers agree on the existence of banana fungal diseases in their farms. The farmers lack knowledge of fungal diseases, a fact acknowledged by 89% of farmers while 11% of farmers have traditional knowledge. Again Eighty-six percent (86%) of the farmers do not apply any method to either prevention or management of banana diseases while 14% apply some disease management and preventive measures against banana fungal diseases. The results obtained from analysis of weather information will be used in the development of an early warning system to help banana farmers around Arumeru district to make the right decision on disease management aspects and apply them at a right time using available resources, which will ultimately improve banana yield.

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