Analysis of factors affecting milk yield of Ankole cows grazed on natural range pastures in Uganda

  • S Okello Department of Veterinary Physiological Sciences, Makerere University, PO Box 7062, Kampala, Uganda
  • EN Sabiiti Department of Crop Science, Faculty of Agriculture, Makerere University, PO Box 7062, Kampala, Uganda
  • HJ Schwartz Livestock Ecology Section, Institute of Animal Science, Faculty of Agriculture and Horticulture, Humboldt University of Berlin, Philippstraβe 13, House 7, 10099 Berlin, Germany
Keywords: body condition score, herbage quality, herbage yield, predictive model

Abstract

Effects of seasonal rainfall (RF) and maximum temperature (Tm) variations on milk yield of Ankole cows grazed solely on range pastures were investigated. The resulting changes in herbage growth (HG), herbage yields (HY), herbage crude protein CPh) and neutral detergent fibre (NDF), as well as body condition score (BCS) of ten milking cows taken every two weeks were analysed for their correlation with milk yield (MY). Results showed that MY was significantly correlated (P = 0.05) with BCS and NDFh, but not with RF and CPh. The correlation with Tm, HY and HG were not significant. Multiple linear regression analysis showed that milk yield increased with body condition and declined with herbage yield according to the model: MY = 3.70*BCS–3.90*HY–6.67. This implied that throughout most of the year, cows depended on mobilisation of body reserves built in the wet season to meet the requirements for milk production. As herbage matured, milk yield declined because cows could not maintain the dietary quality needed for optimal digestion and feed intake. Cows fed to maintain good body condition yielded more milk. Therefore, to minimise maturity, appropriate stocking rates should be applied to maintain young herbage and sustain milk yield.
Keywords: body condition score, herbage quality, herbage yield, predictive model

African Journal of Range & Forage Science 2005, 22(3): 149–156
Published
2005-11-25
Section
Articles

Journal Identifiers


eISSN: 1727-9380
print ISSN: 1022-0119