Genetic and morphological characterisation of the Ankole Longhorn cattle in the African Great Lakes region

Genetics Selection Evolution

Johann Sölkner¹  Harrison Kibogo³  Han Jianlin²  Mwai A Okeyo³  Maria Wurzinger¹  Olivier Hanotte³  Roswitha Baumung¹  Deo B Ndumu³ 

[1] Department of Sustainable Agricultural Systems, BOKU-University of Natural Resources and Applied Life Sciences, Vienna, Austria;CAAS-ILRI Joint Laboratory on Livestock and Forage Genetic Resources, Institute of Animal Science, Chinese Academy of Agricultural Sciences (CAAS), Beijing 100094, PR China;International Livestock Research Institute (ILRI), P.O. Box 30709, Nairobi 00100, Kenya

关键词: spatial distance;    genetic distance;    geometric morphometric;    microsatellite;    Ankole Longhorn cattle;   

Others  :  1093839
DOI  :  10.1186/1297-9686-40-5-467

 received in 2007-07-17, accepted in 2008-04-30,  发布年份 2008

【 摘 要 】

The study investigated the population structure, diversity and differentiation of almost all of the ecotypes representing the African Ankole Longhorn cattle breed on the basis of morphometric (shape and size), genotypic and spatial distance data. Twentyone morphometric measurements were used to describe the morphology of 439 individuals from 11 sub-populations located in five countries around the Great Lakes region of central and eastern Africa. Additionally, 472 individuals were genotyped using 15 DNA microsatellites. Femoral length, horn length, horn circumference, rump height, body length and fore-limb circumference showed the largest differences between regions. An overall F_ST index indicated that 2.7% of the total genetic variation was present among sub-populations. The least differentiation was observed between the two sub-populations of Mbarara south and Luwero in Uganda, while the highest level of differentiation was observed between the Mugamba in Burundi and Malagarasi in Tanzania. An estimated membership of four for the inferred clusters from a model-based Bayesian approach was obtained. Both analyses on distance-based and model-based methods consistently isolated the Mugamba sub-population in Burundi from the others.

【 授权许可】

   
2008 INRA, EDP Sciences