Hostname: page-component-745bb68f8f-v2bm5 Total loading time: 0 Render date: 2025-02-11T16:49:16.694Z Has data issue: false hasContentIssue false
  • English
  • Français

Evaluation of National Research Council 2001 and Cornell Pennsylvania Miner softwares for predicting dry matter intake of Holstein cows during the midlactation

Published online by Cambridge University Press:  23 November 2017

M Kazemi-Bonchenari ,
A Nikkhah ,
H Amanloo  and
H Mehrabani
M Kazemi-Bonchenari*
Affiliation:
Animal Science Department, University of Tehran, Karaj, Tehran, Iran
A Nikkhah
Affiliation:
Animal Science Department, University of Tehran, Karaj, Tehran, Iran
H Amanloo
Affiliation:
Animal Science Department, University of Zanjan, Zanjan, Iran
H Mehrabani
Affiliation:
Animal Science Department, University of Tehran, Karaj, Tehran, Iran
*
Email: [email protected]
Get access

Extract

Predicting dry matter intake (DMI), precisely and accurately is important to prepare balanced rations when on farm estimates of feed intake are not available (Hayirli et al., 2003). Lack of accuracy in prediction of feed intake may result in nutrient underfeeding or overfeeding affecting to animal performance, animal health or dairy farm environmental impact (NRC2001). The 2001 “Nutrient Requirements of Dairy Cattle” recommended a DMI prediction equation based on animal factors that were evaluated with treatment means from experiments published in the Journal of Dairy Science between 1988 and 1998 (NRC2001). The variables used to evaluate DMI prediction are mean square prediction error (MSPE) and relative prediction error (RPE). MSPE accounted as 1/N (A-P)2 that N is number of comparisons, A is actual DMI monitored in farm, and P is predicted DMI in each software. The objective of this investigation was to evaluate the accuracy of National Research Council 2001 and Cornell Pennsylvania Miner softwares in predicting DMI of lactating dairy cows in midlactation.

Type
Theatre presentations
Information
Proceedings of the British Society of Animal Science , Volume 2006 , March 2006 , pp. 40
Copyright
Copyright © The American Society of International Law 2016

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

References

Fuentes-Pila, J., Ibanez, M., De Miguel, J. M., and Beede, D. K.. 2003. Predicting Average Feed Intake of Lactating Holstein Cows Fed Totally Mixed Rations. J. Dairy Sci. 86:309-323.CrossRefGoogle ScholarPubMed
Hayirli, A., Grummer, R. R., Nordheim, E. V., and. Crump, P. M.. 2003. Models for predicting dry matter intake of Holsteins during the prefresh transition period. J. Dairy Sci. 86:1771-1779.CrossRefGoogle ScholarPubMed
NRC. 2001. Nutrient Requirements of Dairy Cattle. 7th rev. ed. Natl. Acad. Sci., Washington, DC.Google Scholar