Tuyển tập các báo cáo nghiên cứu về sinh học được đăng trên tạp chí sinh học quốc tế đề tài: Genetic and morphological characterisation of the Ankole Longhorn cattle in the African Great Lakes region | Genet. Sel. Evol. 40 2008 467-490 Available online at INRA EDP Sciences 2008 DOI gse 2008014 Original article Genetic and morphological characterisation of the Ankole Longhorn cattle in the African Great Lakes region Deo B. Ndumu1 2 3 Roswitha Baumung1 Olivier Hanotte3 Maria Wurzinger1 Mwai A. Okeyo3 Han Jianlin3 4 Harrison Kibogo3 Johann Solkner1 1Department of Sustainable Agricultural Systems BOKU-University of Natural Resources and Applied Life Sciences Vienna Austria 2Ministry of Agriculture Animal Industry and Fisheries Directorate of Animal Resources . Box 513 Entebbe Uganda 3International Livestock Research Institute ILRI . Box 30709 Nairobi 00100 Kenya 4CAAS-ILRI Joint Laboratory on Livestock and Forage Genetic Resources Institute of Animal Science Chinese Academy of Agricultural Sciences CAAS Beijing 100094 China Received 17 July 2007 accepted 30 April 2008 Abstract - 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. Twenty-one 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 FST index indicated that 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 .
