|
|
||||||||
1 Department of Dairy Science, University of Wisconsin, Madison 53706
2 Department of Soil Science, University of Wisconsin, Madison 53706
3 Department of Agronomy, University of Wisconsin, Madison 53706
Legume and grass silage samples (n = 121) were collected from commercial forage testing laboratories (trial 1). Samples were dried at 55°C for 48 h, ground, scanned on a near-infrared reflectance spectrophotometer, and analyzed for crude protein (CP), soluble CP, acid detergent fiber (ADF) CP, and neutral detergent fiber (NDF) CP by wet chemistry methods. Sixty samples were selected for calibration development, and the remaining samples were used for equation validation. Near-infrared reflectance spectroscopy accurately predicted the CP content of the silages (R2 = 0.96), but prediction of soluble CP, ADF CP, and NDF CP was markedly less accurate. The coefficients of determination and standard errors of calibration for CP, ADF CP, NDF CP (percentage of DM), and soluble CP (percentage of CP) were as follows (0.96 and 0.80, 0.77 and 0.24, 0.72 and 0.71, and 0.82 and 4.40). In a second study, legume and grass silage samples (n = 32) were dried at 55°C and ground (2 mm). Duplicate dacron bags containing 5 g of silage were incubated in the ventral rumen of three ruminally cannulated cows for 0, 3, 6, 12, 24, 48, and 72 h. In situ protein fractions, including rapidly degraded protein, slowly degraded protein, undegradable protein, degradation rate, and rumen-undegradable protein, were determined. Original samples were reground (1 mm) and scanned. Previously defined near-infrared spectroscopy calibration procedures were conducted. Coefficients of determination for in situ CP fractions were R2 > 0.92 with the exception of degradation rate (R2 = 0.87). Data suggest that in situ protein fractions are better predicted by near-infrared reflectance spectroscopy than by laboratory protein fractions.
Key Words: silage near-infrared in situ protein degradation
Submitted on July 13, 1998
Accepted on November 23, 1998
This article has been cited by other articles:
![]() |
Z. Nie, G. F. Tremblay, G. Belanger, R. Berthiaume, Y. Castonguay, A. Bertrand, R. Michaud, G. Allard, and J. Han Near-infrared reflectance spectroscopy prediction of neutral detergent-soluble carbohydrates in timothy and alfalfa J Dairy Sci, April 1, 2009; 92(4): 1702 - 1711. [Abstract] [Full Text] [PDF] |
||||
![]() |
Z. Nie, J. Han, T. Liu, and X. Liu Hot Topic: Application of Support Vector Machine Method in Prediction of Alfalfa Protein Fractions by Near Infrared Reflectance Spectroscopy J Dairy Sci, June 1, 2008; 91(6): 2361 - 2369. [Abstract] [Full Text] [PDF] |
||||
![]() |
E. Vargas-Bello-Perez, A. F. Mustafa, and P. Seguin Effects of Feeding Forage Soybean Silage on Milk Production, Nutrient Digestion, and Ruminal Fermentation of Lactating Dairy Cows J Dairy Sci, January 1, 2008; 91(1): 229 - 235. [Abstract] [Full Text] [PDF] |
||||
![]() |
C. Lanzas, L. O. Tedeschi, S. Seo, and D. G. Fox Evaluation of Protein Fractionation Systems Used in Formulating Rations for Dairy Cattle J Dairy Sci, January 1, 2007; 90(1): 507 - 521. [Abstract] [Full Text] [PDF] |
||||
![]() |
R. L. Mentink, P. C. Hoffman, and L. M. Bauman Utility of near-infrared reflectance spectroscopy to predict nutrient composition and in vitro digestibility of total mixed rations. J Dairy Sci, June 1, 2006; 89(6): 2320 - 2326. [Abstract] [Full Text] [PDF] |
||||
![]() |
C. G. Schwab, T. P. Tylutki, R. S. Ordway, C. Sheaffer, and M. D. Stern Characterization of Proteins in Feeds J Dairy Sci, July 1, 2003; 86(13_suppl): E88 - 103. [Abstract] [Full Text] [PDF] |
||||
| HOME | HELP | FEEDBACK | SUBSCRIPTIONS | ARCHIVE | SEARCH | TABLE OF CONTENTS |