Now showing items 1-7 of 7

    • The Epidemiology of Gastrointestinal Nematodes of Dairy Cattle in Central Kenya 

      Waruiru, R M; Thamsborg, S M; Nansen, P; Kyvsgaard, N C; Bogh, H O; Munyua, W K; Gathuma, J M (Department of Public Health, pharmacology and Toxicology, University of Nairobi, 2001)
      The epidemiology of H. placei and of other gastrointestinal nematodes in yearling dairy cattle was examined on two farms in Kiambu District, central Kenya during each of 13 one-month periods from April 1993 to April 1994. ...
    • Evaluation of PetrifilmsTM as a diagnostic test to detect bovine mastitis organisms in Kenya 

      George, K. Gitau; Royford, M. Bundi; John, Vanleeuwen; Charles, M. Mulei (Department of Clinical Studies, Faculty of Veterinary Medicine, University of NairobiCentre for Veterinary Epidemiologic Research, Department of Health Management, Atlantic Veterinary College, University of Prince Edward Island, 2012)
      The study purpose was to validate PetrifilmsTM (3M Microbiology, 2005) against standard culture methods in the diagnosis of bovine mastitis organisms in Kenya. On 128 smallholder dairy cattle farms in Kenya, between June ...
    • Feeding dairy cattle in East Africa. 

      Lukuyu, B; Gachuiri, C K; Lukuyu, M N; Lusweti, C; Mwendia, S (Department of Animal Production, University of Nairobi, 2012)
      This book contains 9 chapters that discuss the nutrient requirements of dairy cows; pasture management; forage production and utilization; supplements and additives; feeding calves, heifers and cows; ration formulation; ...
    • Incidence and causes of retained placenta in smallholder dairy herds. 

      Mutiga, E R; Mbai, K; Tsuma, V T; Karltu, P T; Ojiayo, S O (Department of clinical studies, University of Nairobi, 1993-04)
    • Mating decision support system using computer neural network model in Kenyan Holstein-Friesian dairy cattle 

      Njubi, D M; Wakhungu, J; Badamana, M S (Departmeni of Animal Production, 2009)
      Knowledge discovery in databases (KDD) should provide not only accurate predictions but also comprehensible rules. In this paper, we demonstrate that the machine learning approach of rule extraction from a computer ...
    • Milk yield prediction in Kenyan Holstein- Friesian cattle using computer neural networks system 

      Njubi, D M; Wakhungu, J; Badamana, M S (Departmeni of Animal Production, University of Nairobi, 2009)
      An essential aspect of understanding any natural system is the ability to acquire knowledge through experience and to adapt to new situations. This study, investigates the use of back-propagation Artificial Neural Networks ...
    • Prevalence of cryptosporidiosis in dairy cattle, cattle-keeping families, their non-cattle-keeping neighbours and HIV-positive 

      Kange’the, Erastus; McDermott, Brigid; Grace, Delia; Mbae, Cecilia; Mulinge, Erastus; Monda, Joseph; Nyongesa, Concepta; Ambia, Julie; Njehu, Alice (tment of Public Health, Pharmacology and Toxicology, Faculty of Veterinary Medicine, University of Nairobi,Biometry Unit, Department of Crop Science, University of Nairobi,International Livestock Research Institute,Centre for Microbiological Research, Kenya Medical Research Institute,, 2012)
      This paper reports a study estimating the prevalence of cryptosporidiosis, an emerging zoonosis, in people and cattle in Dagoretti, Nairobi. A repeated cross-sectional survey was carried out among randomly selected cattle ...