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

Published online by Cambridge University Press:  23 November 2017

F.V. Nherera ,
A.N. Pell ,
D.G Fox ,
L.O Tedeschi ,
D.M Mbugua ,
I.W Kariuki  and
J.N. Kangara
F.V. Nherera*
Affiliation:
Stellenbosch University, Stellenbosch, South Africa
A.N. Pell
Affiliation:
Cornell University, Ithaca, United States
D.G Fox
Affiliation:
Cornell University, Ithaca, United States
L.O Tedeschi
Affiliation:
Texas A & M University, College Station, United States
D.M Mbugua
Affiliation:
World Agroforestry Center, Nairobi, Kenya
I.W Kariuki
Affiliation:
Kenya Agriculture research Institute, Embu, Kenya
J.N. Kangara
Affiliation:
Kenya Agriculture research Institute, Embu, Kenya
*
Email:fvn2@cornell.edu
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Extract

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.

Type
Theatre Presentations
Information
Proceedings of the British Society of Animal Science , Volume 2007 , April 2007 , pp. 132
Copyright
Copyright © The British Society of Animal Science 2007

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References

Fox, D.G., Tedeschi, L.O., Tylutki, T.P., Russell, J.B., Van Amburgh, M.E., Chase, L.E., Pell, A.N., Overton, T.R., 2004. The Cornell Net Carbohydrate and Protein System model for evaluating herd nutrition and nutrient excretion. Anim. Feed Sci. Technol. 112, 29–78.CrossRefGoogle Scholar
Tedeschi, L.O., 2006. Assessment of the adequacy of mathematical models. Agric. Syst. 89, 225–247 Google Scholar