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DOI10.1017/S1751731118003002
Use of geographic information system tools to predict animal breed suitability for different agro-ecological zones
Lozano-Jaramillo, M.1; Bastiaansen, J. W. M.1; Dessie, T.2; Komen, H.1
发表日期2019
ISSN1751-7311
EISSN1751-732X
卷号13期号:7页码:1536-1543
英文摘要

Predicting breed-specific environmental suitability has been problematic in livestock production. Native breeds have low productivity but are thought to be more robust 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.


WOS研究方向Agriculture ; Veterinary Sciences
来源期刊ANIMAL
文献类型期刊论文
条目标识符http://gcip.llas.ac.cn/handle/2XKMVOVA/100196
作者单位1.Wageningen Univ & Res Anim Breeding & Genom, POB 338, NL-6700 AH Wageningen, Netherlands;
2.Int Livestock Res Inst, POB 5689, Addis Ababa, Ethiopia
推荐引用方式
GB/T 7714
Lozano-Jaramillo, M.,Bastiaansen, J. W. M.,Dessie, T.,et al. Use of geographic information system tools to predict animal breed suitability for different agro-ecological zones[J],2019,13(7):1536-1543.
APA Lozano-Jaramillo, M.,Bastiaansen, J. W. M.,Dessie, T.,&Komen, H..(2019).Use of geographic information system tools to predict animal breed suitability for different agro-ecological zones.ANIMAL,13(7),1536-1543.
MLA Lozano-Jaramillo, M.,et al."Use of geographic information system tools to predict animal breed suitability for different agro-ecological zones".ANIMAL 13.7(2019):1536-1543.
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