| HOME | HELP | FEEDBACK | SUBSCRIPTIONS | ARCHIVE | SEARCH | TABLE OF CONTENTS |
|
|
|
|||||||
|
|||||||||
* Department of Animal Sciences, The Ohio State University, Columbus 43210
Department of Animal and Veterinary Sciences, University of Idaho, Moscow 83844
U.S. Dairy Forage Research Center, USDA-ARS, Madison, WI 53706
Department of Dairy and Animal Science, Pennsylvania State University, University Park 16802
3 Corresponding author: firkins.1{at}osu.edu
An important objective is to identify nutrients or dietary factors that are most critical for advancing our knowledge of, and improving our ability to predict, milk protein production. The Dairy NRC (2001) model is sensitive to prediction of microbial protein synthesis, which is among the most important component of models integrating requirement and corresponding supply of metabolizable protein or amino acids. There are a variety of important considerations when assessing appropriate use of microbial marker methodology. Statistical formulas and examples are included to document and explain limitations in using a calibration equation from a source publication to predict duodenal flow of purine bases from measured urinary purine derivatives in a future study, and an improved approach was derived. Sources of specific carbohydrate rumen-degraded protein components probably explain microbial interactions and differences among studies. Changes in microbial populations might explain the variation in ruminal outflow of biohydrogenation intermediates that modify milk fat secretion. Finally, microbial protein synthesis can be better integrated with the production of volatile fatty acids, which do not necessarily reflect volatile fatty acid molar proportions in the rumen. The gut and splanchnic tissues metabolize varying amounts of volatile fatty acids, and propionate has important hormonal responses influencing milk protein percentage. Integration of ruminal metabolism with that in the mammary and peripheral tissues can be improved to increase the efficiency of conversion of dietary nutrients into milk components for more efficient milk production with decreased environmental impact.
Key Words: microbial protein synthesis • milk protein • rumen carbohydrate degradation • volatile fatty acid metabolism
This article has been cited by other articles:
|
|
 |
|
  J. L. Firkins, B. S. Oldick, J. Pantoja, C. Reveneau, L. E. Gilligan, and L. Carver Efficacy of Liquid Feeds Varying in Concentration and Composition of Fat, Nonprotein Nitrogen, and Nonfiber Carbohydrates for Lactating Dairy Cows J Dairy Sci, May 1, 2008; 91(5): 1969 - 1984. [Abstract] [Full Text] [PDF]
|
|
|
|
|
|
N. E. Odongo, M. M. Or-Rashid, R. Bagg, G. Vessie, P. Dick, E. Kebreab, J. France, and B. W. McBride Long-Term Effects of Feeding Monensin on Milk Fatty Acid Composition in Lactating Dairy Cows J Dairy Sci, November 1, 2007; 90(11): 5126 - 5133. [Abstract] [Full Text] [PDF]
|
|
|
|
|
|
S. J. Krizsan, G. A. Broderick, R. E. Muck, C. Promkot, S. Colombini, and A. T. Randby Effect of Alfalfa Silage Storage Structure and Roasting Corn on Production and Ruminal Metabolism of Lactating Dairy Cows J Dairy Sci, October 1, 2007; 90(10): 4793 - 4804. [Abstract] [Full Text] [PDF]
|
|
|
|
|
|
J. L. Firkins, Z. Yu, and M. Morrison Ruminal Nitrogen Metabolism: Perspectives for Integration of Microbiology and Nutrition for Dairy J Dairy Sci, June 1, 2007; 90(13_suppl): E1 - E16. [Abstract] [Full Text] [PDF]
|
|
|
|
|
|
S. K. R. Karnati, J. T. Sylvester, S. M. Noftsger, Z. Yu, N. R. St-Pierre, and J. L. Firkins Assessment of Ruminal Bacterial Populations and Protozoal Generation Time in Cows Fed Different Methionine Sources J Dairy Sci, February 1, 2007; 90(2): 798 - 809. [Abstract] [Full Text] [PDF]
|
|
| HOME | HELP | FEEDBACK | SUBSCRIPTIONS | ARCHIVE | SEARCH | TABLE OF CONTENTS |
