Analysis of factors influencing farmers’ adoption of desert locust control methods in Kenya DOI Creative Commons
Brian Omondi Lumumba, David Jakinda Otieno, Rose Adhiambo Nyikal

et al.

Frontiers in Sustainable Food Systems, Journal Year: 2025, Volume and Issue: 9

Published: March 13, 2025

Transboundary pests present a significant threat to agricultural production and household incomes, with desert locust invasions being among the most disruptive. Despite ongoing control efforts, such as surveillance chemical interventions, rapid spread of locusts into non-traditional breeding areas limited preparedness underscore need for integrated management. This study aimed identify indigenous practices examine factors influencing their adoption support informed policy pest Using multivariate probit model (MVP) corrected selection bias, we assessed affecting these methods. Data from random sample 473 farmers in Isiolo Meru counties, Kenya, revealed that methods are complementary, meaning they more effective when used together rather than isolation. Key included access information, experience previous shocks, social networks. These findings emphasize importance establishing early warning systems enhancing farmer training on management through groups strategic entry points intervention.

Language: Английский

Analysis of factors influencing farmers’ adoption of desert locust control methods in Kenya DOI Creative Commons
Brian Omondi Lumumba, David Jakinda Otieno, Rose Adhiambo Nyikal

et al.

Frontiers in Sustainable Food Systems, Journal Year: 2025, Volume and Issue: 9

Published: March 13, 2025

Transboundary pests present a significant threat to agricultural production and household incomes, with desert locust invasions being among the most disruptive. Despite ongoing control efforts, such as surveillance chemical interventions, rapid spread of locusts into non-traditional breeding areas limited preparedness underscore need for integrated management. This study aimed identify indigenous practices examine factors influencing their adoption support informed policy pest Using multivariate probit model (MVP) corrected selection bias, we assessed affecting these methods. Data from random sample 473 farmers in Isiolo Meru counties, Kenya, revealed that methods are complementary, meaning they more effective when used together rather than isolation. Key included access information, experience previous shocks, social networks. These findings emphasize importance establishing early warning systems enhancing farmer training on management through groups strategic entry points intervention.

Language: Английский

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