11 research outputs found

    The Status and Risk Factors of Brucellosis in Smallholder Dairy Cattle in Selected Regions of Tanzania

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    Bovine brucellosis is a bacterial zoonoses caused by Brucella abortus. We conducted a cross-sectional study to determine brucellosis seroprevalence and risk factors among smallholder dairy cattle across six regions in Tanzania. We sampled 2048 dairy cattle on 1374 farms between July 2019 and October 2020. Sera were tested for the presence of anti-Brucella antibodies using a competitive enzyme-linked immunosorbent assay. Seroprevalence was calculated at different administrative scales, and spatial tests were used to detect disease hotspots. A generalized mixed-effects regression model was built to explore the relationships among Brucella serostatus, animals, and farm management factors. Seroprevalence was 2.39% (49/2048 cattle, 95% CI 1.7-3.1) across the study area and the Njombe Region represented the highest percentage with 15.5% (95% CI 11.0-22.0). Moreover, hotspots were detected in the Njombe and Kilimanjaro Regions. Mixed-effects models showed that having goats (OR 3.02, 95% C 1.22-7.46) and abortion history (OR 4.91, 95% CI 1.43-16.9) were significant risk factors for brucellosis. Education of dairy farmers regarding the clinical signs, transmission routes, and control measures for brucellosis is advised. A One Health approach is required to study the role of small ruminants in cattle brucellosis and the status of brucellosis in dairy farmers in the Njombe and Kilimanjaro Regions

    The Status and Risk Factors of Brucellosis in Smallholder Dairy Cattle in Selected Regions of Tanzania

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    This research article was published by MPDI, 2023Bovine brucellosis is a bacterial zoonoses caused by Brucella abortus. We conducted a cross-sectional study to determine brucellosis seroprevalence and risk factors among smallholder dairy cattle across six regions in Tanzania. We sampled 2048 dairy cattle on 1374 farms between July 2019 and October 2020. Sera were tested for the presence of anti-Brucella antibodies using a competitive enzyme-linked immunosorbent assay. Seroprevalence was calculated at different administrative scales, and spatial tests were used to detect disease hotspots. A generalized mixed-effects regression model was built to explore the relationships among Brucella serostatus, animals, and farm management factors. Seroprevalence was 2.39% (49/2048 cattle, 95% CI 1.7–3.1) across the study area and the Njombe Region represented the highest percentage with 15.5% (95% CI 11.0–22.0). Moreover, hotspots were detected in the Njombe and Kilimanjaro Regions. Mixed-effects models showed that having goats (OR 3.02, 95% C 1.22–7.46) and abortion history (OR 4.91, 95% CI 1.43–16.9) were significant risk factors for brucellosis. Education of dairy farmers regarding the clinical signs, transmission routes, and control measures for brucellosis is advised. A One Health approach is required to study the role of small ruminants in cattle brucellosis and the status of brucellosis in dairy farmers in the Njombe and Kilimanjaro Regions

    Seroprevalence and risk factors for Q-fever (Coxiella burnetii) exposure in smallholder dairy cattle in Tanzania

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    Q fever is a zoonotic disease, resulting from infection with Coxiella burnetii. Infection in cattle can cause abortion and infertility, however, there is little epidemiological information regarding the disease in dairy cattle in Tanzania. Between July 2019 and October 2020, a serosurvey was conducted in six high dairy producing regions of Tanzania. Cattle sera were tested for antibodies to C. burnetii using an indirect enzyme-linked immunosorbent assay. A mixed effect logistic regression model identified risk factors associated with C. burnetii seropositivity. A total of 79 out of 2049 dairy cattle tested positive with an overall seroprevalence of 3.9% (95% CI 3.06–4.78) across the six regions with the highest seroprevalence in Tanga region (8.21%, 95% CI 6.0–10.89). Risk factors associated with seropositivity included: extensive feeding management (OR 2.77, 95% CI 1.25–3.77), and low precipitation below 1000 mm (OR 2.76, 95% 1.37–7.21). The disease seroprevalence is relatively low in the high dairy cattle producing regions of Tanzania. Due to the zoonotic potential of the disease, future efforts should employ a “One Health” approach to understand the epidemiology, and for interdisciplinary control to reduce the impacts on animal and human health

    Role of local knowledge in mixed livestock production systems Methodology and implications for research and development in Sub-Saharan Africa

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    Local knowledge is an important asset for smallholder farmers who operate differently in diverse crop and livestock production systems in the tropics. Various methods are needed for its acquisition, analysis, storage and communication. While local knowledge of livestock feeds and other resources is abundant, amalgamation of the positive aspects of this knowledge system with that emanating from contemporary scientific approaches is critical yet limited. The merger is desirable so as to achieve improved productivity and sustainability of mixed livestock production systems in Sub-Saharan Afric

    Role of local knowledge in mixed livestock production systems Methodology and implications for research and development in Sub-Saharan Africa

    No full text
    Local knowledge is an important asset for smallholder farmers who operate differently in diverse crop and livestock production systems in the tropics. Various methods are needed for its acquisition, analysis, storage and communication. While local knowledge of livestock feeds and other resources is abundant, amalgamation of the positive aspects of this knowledge system with that emanating from contemporary scientific approaches is critical yet limited. The merger is desirable so as to achieve improved productivity and sustainability of mixed livestock production systems in Sub-Saharan Afric

    Implications of local knowledge in the utilization of forage resources in mixed livestock systems of Eastern Tanzania

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    Smallholder farmers have considerable understanding of locally available resources that they normally use in crop and livestock production. This was demonstrated in a study about the utility of local knowledge in forage quality evaluation for a mixed livestock production system in Turiani division, Morogoro region, Eastern Tanzania. Participatory rural appraisal (PRA) was conducted in four villages in order to identify forages and criteria used by farmers in the description of nutritional and feeding values of local feeds for cattle. Eight to 12 farmers were convened in each village to discuss the different forage species used for cattle feeding, reasons for their preferences and local experiences related to feed resource management. Key informants interviews were also done with farmers’ group leaders and some farmers. Checklists, direct observation, matrix ranking and semi-structured interviews were the major tools applied. Results indicated that criteria used for forage quality assessment were based on objectives of cattle production. These included the amount of milk produced (lactating cows), growth (calves) and general health condition of animals. Palatability of forages and animal satisfaction when fed were other criteria used. Forage grasses such as Pennisetum purpureum, Panicum maximum and Rottboellia cochinchinensis were ranked the highest, intermediate and lowest respectively according to the above criteria. These findings suggest that forage quality description derived from day to day activities is crucial for any interventions that can improve livestock productivity in smallholder production systems

    Dairy investment options for poverty reduction for small-scale dairy farmers in Tanzania

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    The effect of an unproductive investment could be detrimental to the investor, especially when is a dairy farmer investor who depend on earnings and may distort the productivity effort if is not approached with caution. Anyone who wish to invest in dairy farming must choose wisely, think independently to avoid follow the crowd. Ideal investment decisions in dairy would starts by best choice of breeds, feeds availability, affordability and accessibility, knowledge in proper animal husbandry and proper handling and marketing of animal products. Most farmers in Tanzania who are in dairy farming invested with different objectives, such as for prestige, for family nutrition, for manure and sale of live calves, to mention a few. This study investigating dairy cow investment and how it affects poverty situation in the families. The results show that investment in the dairy sector is the key to reliable income and leaning pole to poverty reduction in the family. Therefore, choice in investment may affect income and reduce poverty in two folds if it is done in ideal situation
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