globalchange  > 全球变化的国际研究计划
DOI: 10.1017/S1751731118003002
WOS记录号: WOS:000471875000022
论文题名:
Use of geographic information system tools to predict animal breed suitability for different agro-ecological zones
作者: Lozano-Jaramillo, M.1; Bastiaansen, J. W. M.1; Dessie, T.2; Komen, H.1
通讯作者: Lozano-Jaramillo, M.
刊名: ANIMAL
ISSN: 1751-7311
EISSN: 1751-732X
出版年: 2019
卷: 13, 期:7, 页码:1536-1543
语种: 英语
英文关键词: agro-ecology ; breeding programs ; distribution models ; livestock ; local adaptation
WOS关键词: SPECIES DISTRIBUTIONS ; ENVELOPE MODELS ; CLIMATE-CHANGE ; LIVESTOCK ; PROGRAMS ; PERFORMANCE ; AFRICAN ; MAXENT ; AREAS
WOS学科分类: Agriculture, Dairy & Animal Science ; Veterinary Sciences
WOS研究方向: Agriculture ; Veterinary Sciences
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.


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资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/142915
Appears in Collections:全球变化的国际研究计划

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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

Recommended Citation:
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]. ANIMAL,2019-01-01,13(7):1536-1543
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