Determinants of Farm-Level Adoption of Cultural Practices for Banana Xanthomonas Wilt Control in Uganda

Abstract

Understanding the factors influencing farmers' adoption decisions of the disseminated Banana Xanthomonas wilt (BXW) control package is critical for successful management of the disease. This paper analysed the determinants of farmers' decisions to adopt the control package by smallholder banana farmers in Uganda. A binomial Logit model is applied to household survey data collected from 350 households. Results from the study show that household labour availability, technology package attributes such as labour demand and perceived effectiveness of the practices in managing the disease; and agro-ecological location and banana production system significantly influence adoption decisions. These results suggest the need for adaptation of the technology package to better suit the needs and socio-economic conditions of smallholder farmers through a farmer participatory technology development approach that takes into account research findings, farmers' indigenous knowledge and resource constraints to enhance adoption.

Banana Xanthomonas Wilt Infection: The Role of Debudding and Roguing as Control Options within a Mixed Cultivar Plantation

“…Applying all the control options would be the most rapid method in stopping the spread of BXW but this is often too costly [9]. Therefore, here we determine combinations of control measures that would effectively lead to disease eradication at minimum total cost of implementation.…”

“…Jogo et al [9] studied the extent to which cultural control practices have been adopted by farmers and assessed the socioeconomic factors that influence adoption of these practices among smallholder farmers in Uganda. Their results indicate that among the key determinants were labor and perceived effectiveness of the technologies being implemented.…”

“…The two main groups of cultivars include the East African highland banana (EAHB) AAA-genome grown in western Uganda (1700 masl) and the "kayinja" (beer banana) ABBgenome cultivar grown in the central Uganda (1300 masl) [9]. The intensity of management among these cultivars is different with the former being managed intensively than the later [9]. Also ABB-genome cultivars are more susceptible to insect infection due to the greater production of sweet nectar that attracts the insects as compared to AAA-genome cultivars.…”

A Mathematical Model for the Vector Transmission and Control of Banana Xanthomonas Wilt

“…Management measures include roguing of diseased banana plants, debudding or removal of the male buds using a forked stick, use of clean planting materials and sterilization of farm tools using chemicals or a flame of fire (Tinzaara et al, 2016;Kubiriba & Tushemereirwe, 2014;Jogo et al, 2013). In the absence of a cure (chemical or biological) and unavailability of resistant varieties, the disease continues to spread to new areas.…”

Análisis de la sostenibilidad del ciclo de vida de la electricidad a partir del aceite de jatropha, caso de estudio en Ecuador

“…La mayoría de estos estudios han utilizado modelos de elección discreta, como el modelo logit binario, ya que este marco de modelización permite hacer estimaciones de la probabilidad de que un individuo decida entre una alternativa y otra (Jeffrey M. Wooldridge, 2009). En particular, el modelo logit binario es ampliamente usado para analizar la decisión de los agricultores de participar en programas ambientales (Jin, Wang, & Gao, 2015;, así como para adoptar paquetes tecnológicos Iqbal, Ireland, & Rodrigo, 2006;Jogo, Karamura, Tinzaara, Kubiriba, & Rietveld, 2013;Mariano, Villano, & Fleming, 2012). Sin embargo, la aplicación de estos modelos ha recibido menos atención para estudiar la sostenibilidad a largo plazo o el abandono de un proyecto.…”