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2018

Upscaling farmer-led targeted intervention for livestock health and poverty alleviation in Africa

Botswana

Department for International Development UKAID

Titre : Upscaling farmer-led targeted intervention for livestock health and poverty alleviation in Africa Pays : Botswana

Numéro du projet : GB-GOV-13-FUND—GCRF-BB_R01986X_1

Durée : Actual Start 01 May 2018 // 30 Sep 2019

Présentation partielle
Parasites are a major cause of disease and production loss in grazing ruminants worldwide, and their control is increasingly challenged by climate change and drug resistance. In resource-poor marginal farming systems, where reliance on livestock for food and income is high, tools for effective parasite control are rarely available to farmers. Chemical inputs are often in limited supply and not optimally applied, and parasites slow growth, reduce milk yield and cause mortality. This project builds on previous research conducted on targeting treatment within goat herds in Botswana, which showed that simple indices of parasite impact can be used effectively by farmers to target treatments and improve livestock health. Farmers using the system achieved similar improvements as for whole-herd treatment, while using less than a quarter of the treatments. At the same time, research has advanced the capability of computer models to predict infection risk as a function of climate and weather. Application of risk models could enable monitoring and targeted treatment to focus on the most dangerous times, potentially saving labour and reducing unexpected losses. These prediction models have helped farmers in the UK, but have not yet been delivered to farmers in Botswana. Very high mobile phone use in the region provides a potential route to deliver such tools, and to support farmers who are in remote locations and out of the reach of over-stretched animal health extension personnel. This project will combine targeted treatment and risk prediction to produce an integrated parasite control system that works in the hands of remote marginal farmers in Botswana. Risk predictions will be generated from climate data using existing models, and communicated to farmers by mobile phone. Alerts will prompt trained farmers to check their animals and intervene as needed, feeding back information on animal health status and treatments applied, again by mobile phone

Objectifs
1. Produce and disseminate a support pack to facilitate uptake of TST by farmers and advisors. Delivery 30 September 2018. 2. Apply existing computer models to disseminate predicted variation in parasite risk. Delivery 31 December 2018. 3. Integrate risk models with TST to improve efficiency and disease surveillance. Delivery 31 March 2019 (Milestone : risk model running for field sites in Botswana, by 30 November 2018). 4. Incorporate integrated decision support into national and regional agricultural policy. Delivery 30 September 2019

Financement : UK - Department for Business, Energy and Industrial Strategy

Présentation (UKAID)

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