Use of geographic information system tools to predict animal breed suitability for different agro-ecological zones
Predicting breed-specific environmental suitability has been problematic in livestock production. Native breeds have low productivity but are thought to be more robust to perform under local conditions than exotic breeds. Attempts to introduce genetically improved exotic breeds are generally unsucce...
| Autores principales: | , , , |
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| Formato: | Journal Article |
| Lenguaje: | Inglés |
| Publicado: |
Elsevier
2019
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| Materias: | |
| Acceso en línea: | https://hdl.handle.net/10568/98850 |
| _version_ | 1855518010885799936 |
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| author | Lozano Jaramillo, Maria Bastiaansen, John W.M. Dessie, Tadelle Komen, Hans |
| author_browse | Bastiaansen, John W.M. Dessie, Tadelle Komen, Hans Lozano Jaramillo, Maria |
| author_facet | Lozano Jaramillo, Maria Bastiaansen, John W.M. Dessie, Tadelle Komen, Hans |
| author_sort | Lozano Jaramillo, Maria |
| collection | Repository of Agricultural Research Outputs (CGSpace) |
| description | Predicting breed-specific environmental suitability has been problematic in livestock production. Native breeds have low productivity but are thought to be more robust to perform under local conditions than exotic breeds. Attempts to introduce genetically improved exotic breeds are generally unsuccessful, mainly due to the antagonistic environmental conditions. Knowledge of the environmental conditions that are shaping the breed would be needed to determine its suitability to different locations. Here, we present a methodology to predict the suitability of breeds for different agro-ecological zones using Geographic Information Systems tools and predictive habitat distribution models. This methodology was tested on the current distribution of two introduced chicken breeds in Ethiopia: the Koekoek, originally from South Africa, and the Fayoumi, originally from Egypt. Cross-validation results show this methodology to be effective in predicting breed suitability for specific environmental conditions. Furthermore, the model predicts suitable areas of the country where the breeds could be introduced. The specific climatic parameters that explained the potential distribution of each of the breeds were similar to the environment from which the breeds originated. This novel methodology finds application in livestock programs, allowing for a more informed decision when designing breeding programs and introduction programs, and increases our understanding of the role of the environment in livestock productivity. |
| format | Journal Article |
| id | CGSpace98850 |
| institution | CGIAR Consortium |
| language | Inglés |
| publishDate | 2019 |
| publishDateRange | 2019 |
| publishDateSort | 2019 |
| publisher | Elsevier |
| publisherStr | Elsevier |
| record_format | dspace |
| spelling | CGSpace988502025-09-25T13:01:37Z Use of geographic information system tools to predict animal breed suitability for different agro-ecological zones Lozano Jaramillo, Maria Bastiaansen, John W.M. Dessie, Tadelle Komen, Hans animal breeding livestock Predicting breed-specific environmental suitability has been problematic in livestock production. Native breeds have low productivity but are thought to be more robust to perform under local conditions than exotic breeds. Attempts to introduce genetically improved exotic breeds are generally unsuccessful, mainly due to the antagonistic environmental conditions. Knowledge of the environmental conditions that are shaping the breed would be needed to determine its suitability to different locations. Here, we present a methodology to predict the suitability of breeds for different agro-ecological zones using Geographic Information Systems tools and predictive habitat distribution models. This methodology was tested on the current distribution of two introduced chicken breeds in Ethiopia: the Koekoek, originally from South Africa, and the Fayoumi, originally from Egypt. Cross-validation results show this methodology to be effective in predicting breed suitability for specific environmental conditions. Furthermore, the model predicts suitable areas of the country where the breeds could be introduced. The specific climatic parameters that explained the potential distribution of each of the breeds were similar to the environment from which the breeds originated. This novel methodology finds application in livestock programs, allowing for a more informed decision when designing breeding programs and introduction programs, and increases our understanding of the role of the environment in livestock productivity. 2019 2018-12-20T09:17:57Z 2018-12-20T09:17:57Z Journal Article https://hdl.handle.net/10568/98850 en Open Access Elsevier Lozano-Jaramillo, M., Bastiaansen, J.W.M., Dessie, T. and Komen, H. 2018. Use of geographic information system tools to predict animal breed suitability for different agro-ecological zones. Animal |
| spellingShingle | animal breeding livestock Lozano Jaramillo, Maria Bastiaansen, John W.M. Dessie, Tadelle Komen, Hans Use of geographic information system tools to predict animal breed suitability for different agro-ecological zones |
| title | Use of geographic information system tools to predict animal breed suitability for different agro-ecological zones |
| title_full | Use of geographic information system tools to predict animal breed suitability for different agro-ecological zones |
| title_fullStr | Use of geographic information system tools to predict animal breed suitability for different agro-ecological zones |
| title_full_unstemmed | Use of geographic information system tools to predict animal breed suitability for different agro-ecological zones |
| title_short | Use of geographic information system tools to predict animal breed suitability for different agro-ecological zones |
| title_sort | use of geographic information system tools to predict animal breed suitability for different agro ecological zones |
| topic | animal breeding livestock |
| url | https://hdl.handle.net/10568/98850 |
| work_keys_str_mv | AT lozanojaramillomaria useofgeographicinformationsystemtoolstopredictanimalbreedsuitabilityfordifferentagroecologicalzones AT bastiaansenjohnwm useofgeographicinformationsystemtoolstopredictanimalbreedsuitabilityfordifferentagroecologicalzones AT dessietadelle useofgeographicinformationsystemtoolstopredictanimalbreedsuitabilityfordifferentagroecologicalzones AT komenhans useofgeographicinformationsystemtoolstopredictanimalbreedsuitabilityfordifferentagroecologicalzones |