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Linear and quadratic models as predictors of dry matter production and nutritive value of pastures located in the central plateau of Mexico

Published online by Cambridge University Press:  22 November 2017

A A Rayas-Amor
Affiliation:
University of Reading, Reading, Berkshire, United Kingdom Instituto en Ciancias Agropecuarias y Rurales (ICAR), Toluca, Estado de Mexico, Mexico
P Dorward
Affiliation:
University of Reading, Reading, Berkshire, United Kingdom
T Rehman
Affiliation:
University of Reading, Reading, Berkshire, United Kingdom
F L Mould
Affiliation:
University of Reading, Reading, Berkshire, United Kingdom
O A Castelan-Ortega
Affiliation:
Instituto en Ciancias Agropecuarias y Rurales (ICAR), Toluca, Estado de Mexico, Mexico
Corresponding
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Extract

Approximately 80% of all production costs are related to the purchase of forages and other feeds in dairy enterprises in Mexico. Resource poor, smallholder (campesino) systems are heavily reliant on the use of maize stover, noncultivated/cultivated grass species and weeds to feed their dairy cattle, thus a nutritional understanding of local forage resources would be of considerable economic benefit. The objective of this study was to develop predictive models of herbage production and nutrient composition of four non-cultivated pastures (NcP), in order to minimise the cost of sample analysis and improve the utilisation of local forage resources in dairy enterprises.

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Theatre Presentations
Copyright
Copyright © The British Society of Animal Science 2009

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References

Rayas-Amor, AA, Dorward, P, Mould, FL, Rehman, T and Castelan-Ortega, OA 2009 Fermentation kinetics, chemical composition and metabolisable energy of three non-cultivated pastures located in the central plateau of Mexico. In Proceedings of the British Society of Animal Science, 92 Google Scholar

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