Predicting energy and protein supply and milk production of dairy cows consuming high forage rations in the central highlands of Kenya

Abstract

Level 1 of the Cornell Net carbohydrate and Protein System (CNCPS) model has not yet been used to predict animal performance on smallholder dairy farms in African conditions. Over 60% of the smallholder dairy cattle in sub-Saharan Africa are in the East African highlands. Although the level of production is low, dairy cattle contribute significantly to the livelihoods of rural families. If the model predictions reflect animal performance, the CNCPS model could be a useful tool to develop feeding strategies to enhance animal production. The objectives of our study were to: (1) evaluate the accuracy of the predictions of dry matter intake, milk production and phosphorus excretion of the CNCPS model for dairy cattle on smallholder farms; (2) predict nutrient requirements and supply of confined and lactating crossbred cows consuming high forage rations and (3) determine the variation in feed quality and milk production.