Modelling milk production from feed intake in dairy cattle
Predictive models were developed for both Holstein and Jersey cows. Since Holsteins comprised eighty-five percent of the data, the predictive models developed for Holsteins were used for the development of a user-friendly computer model. Predictive models included: milk production (squared multiple correlation .73), natural log (ln) of milk production (.73), four percent fat-corrected milk (.67), ln four percent fat-corrected milk (.68), fat-free milk (.73), ln fat-free milk (.73), dry matter intake (.61), ln dry matter intake (.60), milk fat (.52), and ln milk fat (.56). The predictive models for ln milk production, ln fat-free milk and ln dry matter intake were incorporated into a computer model. The model was written in standard Fortran for use on mainframe or micro-computers. Daily milk production, fat-free milk production, and dry matter intake were predicted on a daily basis with the previous day's dry matter intake serving as an independent variable in the prediction of the daily milk and fat-free milk production. 21 refs.
- Research Organization:
- Colorado State Univ., Fort Collins (USA). Dept. of Animal Science
- DOE Contract Number:
- AS08-79NV10057
- OSTI ID:
- 6035288
- Report Number(s):
- DOE/NV/10057-3; ON: DE86007285
- Resource Relation:
- Other Information: Portions of this document are illegible in microfiche products. Thesis
- Country of Publication:
- United States
- Language:
- English
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