Use of geographic information system tools to predict animal breed suitability for different agro-ecological zones.

作者: M. Lozano-Jaramillo , J.W.M. Bastiaansen , T. Dessie , H. Komen

DOI: 10.1017/S1751731118003002

关键词: BreedEnvironmental resource managementHabitat distributionGeographyAnimal breedingDistribution (economics)LivestockLocal adaptationProductivityGeographic information system

摘要: Predicting breed-specific environmental suitability has been problematic in livestock production. Native breeds have low productivity but are thought to be more robust perform under local conditions than exotic breeds. Attempts introduce genetically improved generally unsuccessful, mainly due the antagonistic conditions. Knowledge of that shaping breed would needed determine its different locations. Here, we present a methodology predict for agro-ecological zones using Geographic Information Systems tools and predictive habitat distribution models. This was tested on current two introduced chicken Ethiopia: Koekoek, originally from South Africa, Fayoumi, Egypt. Cross-validation results show this effective predicting specific Furthermore, model predicts suitable areas country where could introduced. The climatic parameters explained potential each were similar environment which originated. novel finds application programs, allowing informed decision when designing breeding programs introduction increases our understanding role productivity.

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