High-yield dairy cattle breeds improve farmer incomes, curtail greenhouse gas emissions and reduce dairy import dependency in Tanzania
Tanzania’s dairy sector is poorly developed, creating reliance on imports for processed, value-added dairy products and threatening food security, particularly when supply chains are disrupted due to market volatility or armed conflicts. The Tanzanian Dairy Development Roadmap is a domestic developm...
| Autores principales: | , , , , , , , , |
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| Formato: | Journal Article |
| Lenguaje: | Inglés |
| Publicado: |
Springer
2022
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| Materias: | |
| Acceso en línea: | https://hdl.handle.net/10568/125807 |
| _version_ | 1855543398936608768 |
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| author | Hawkins, J.W. Komarek, A.M. Kihoro, Esther Nicholson, C.F. Omore, Amos O. Yesuf, G.U. Ericksen, Polly J. Schoneveld, G.R. Rufino, Mariana C. |
| author_browse | Ericksen, Polly J. Hawkins, J.W. Kihoro, Esther Komarek, A.M. Nicholson, C.F. Omore, Amos O. Rufino, Mariana C. Schoneveld, G.R. Yesuf, G.U. |
| author_facet | Hawkins, J.W. Komarek, A.M. Kihoro, Esther Nicholson, C.F. Omore, Amos O. Yesuf, G.U. Ericksen, Polly J. Schoneveld, G.R. Rufino, Mariana C. |
| author_sort | Hawkins, J.W. |
| collection | Repository of Agricultural Research Outputs (CGSpace) |
| description | Tanzania’s dairy sector is poorly developed, creating reliance on imports for processed, value-added dairy products and threatening food security, particularly when supply chains are disrupted due to market volatility or armed conflicts. The Tanzanian Dairy Development Roadmap is a domestic development initiative that aims to achieve dairy self-sufficiency by 2030. Here, we model different outcomes of the roadmap, finding that adoption of high-yield cattle breeds is essential for reducing dairy import dependency. Avoided land use change resulting from fewer, higher yielding dairy cattle would lead to lower greenhouse gas emissions. Dairy producers’ average incomes could increase despite capital expenditure and land allocation required for the adoption of high-yield breeds. Our findings demonstrate the importance of bottom-up development policies for sustainable food system transformations, which also support food sovereignty, increase incomes for smallholder farmers and contribute towards Tanzania’s commitments to reduce greenhouse gas emissions. |
| format | Journal Article |
| id | CGSpace125807 |
| institution | CGIAR Consortium |
| language | Inglés |
| publishDate | 2022 |
| publishDateRange | 2022 |
| publishDateSort | 2022 |
| publisher | Springer |
| publisherStr | Springer |
| record_format | dspace |
| spelling | CGSpace1258072024-11-07T09:55:29Z High-yield dairy cattle breeds improve farmer incomes, curtail greenhouse gas emissions and reduce dairy import dependency in Tanzania Hawkins, J.W. Komarek, A.M. Kihoro, Esther Nicholson, C.F. Omore, Amos O. Yesuf, G.U. Ericksen, Polly J. Schoneveld, G.R. Rufino, Mariana C. cattle breeds greenhouse gas emissions dairying dairy cattle livestock dairy production cattle breeds greenhouse gases Tanzania’s dairy sector is poorly developed, creating reliance on imports for processed, value-added dairy products and threatening food security, particularly when supply chains are disrupted due to market volatility or armed conflicts. The Tanzanian Dairy Development Roadmap is a domestic development initiative that aims to achieve dairy self-sufficiency by 2030. Here, we model different outcomes of the roadmap, finding that adoption of high-yield cattle breeds is essential for reducing dairy import dependency. Avoided land use change resulting from fewer, higher yielding dairy cattle would lead to lower greenhouse gas emissions. Dairy producers’ average incomes could increase despite capital expenditure and land allocation required for the adoption of high-yield breeds. Our findings demonstrate the importance of bottom-up development policies for sustainable food system transformations, which also support food sovereignty, increase incomes for smallholder farmers and contribute towards Tanzania’s commitments to reduce greenhouse gas emissions. 2022-11 2022-12-06T16:34:26Z 2022-12-06T16:34:26Z Journal Article https://hdl.handle.net/10568/125807 en Limited Access Springer Hawkins, J. W., Komarek, A. M., Kihoro, E. M., Nicholson, C. F., Omore, A. O., Yesuf, G. U., Ericksen, P. J., Schoneveld, G. C., & Rufino, M. C. (2022). High-yield dairy cattle breeds improve farmer incomes, curtail greenhouse gas emissions and reduce dairy import dependency in Tanzania. In Nature Food (Vol. 3, Issue 11, pp. 957–967). Springer Science and Business Media LLC. https://doi.org/10.1038/s43016-022-00633-5 |
| spellingShingle | cattle breeds greenhouse gas emissions dairying dairy cattle livestock dairy production cattle breeds greenhouse gases Hawkins, J.W. Komarek, A.M. Kihoro, Esther Nicholson, C.F. Omore, Amos O. Yesuf, G.U. Ericksen, Polly J. Schoneveld, G.R. Rufino, Mariana C. High-yield dairy cattle breeds improve farmer incomes, curtail greenhouse gas emissions and reduce dairy import dependency in Tanzania |
| title | High-yield dairy cattle breeds improve farmer incomes, curtail greenhouse gas emissions and reduce dairy import dependency in Tanzania |
| title_full | High-yield dairy cattle breeds improve farmer incomes, curtail greenhouse gas emissions and reduce dairy import dependency in Tanzania |
| title_fullStr | High-yield dairy cattle breeds improve farmer incomes, curtail greenhouse gas emissions and reduce dairy import dependency in Tanzania |
| title_full_unstemmed | High-yield dairy cattle breeds improve farmer incomes, curtail greenhouse gas emissions and reduce dairy import dependency in Tanzania |
| title_short | High-yield dairy cattle breeds improve farmer incomes, curtail greenhouse gas emissions and reduce dairy import dependency in Tanzania |
| title_sort | high yield dairy cattle breeds improve farmer incomes curtail greenhouse gas emissions and reduce dairy import dependency in tanzania |
| topic | cattle breeds greenhouse gas emissions dairying dairy cattle livestock dairy production cattle breeds greenhouse gases |
| url | https://hdl.handle.net/10568/125807 |
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