Accounting for the effects of a ruminal nitrogen deficiency within the structure of the Cornell Net Carbohydrate and Protein System.

The Cornell Net Carbohydrate and Protein System (CNCPS) prediction of fiber digestion and microbial mass production from ruminally degraded carbohydrate has been adjusted to accommodate a ruminal N deficiency. The steps for the adjustment are as follows: 1) the ruminal available peptide and ammonia pools are used to determine the N allowable microbial growth; 2) this value is subtracted from the energy allowable microbial growth to obtain the reduction in microbial mass; 3) this mass reduction is allocated between pools of bacteria digesting fiber (FC) and nonfiber (NFC) carbohydrate according to their original proportions in the energy allowable microbial growth; 4) the reduction in fermented FC is computed as the FC bacterial mass reduction divided by its yield (g bacteria/g FC digested); and 5) this reduction is added to the FC fraction escaping the rumen. Five published studies included information that allowed us to evaluate the response of animals to added dietary N. These evaluations compared observed and CNCPS-predicted ADG with and without this adjustment. The adjustment decreased the CNCPS overprediction of ADG from 19.2 to 4.7%, mean bias declined from .16 to .04 kg/d, and the r2 of the regression between observed and metabolizable energy (ME) or metabolizable protein allowable ADG was increased from .83 to .88 with the adjustment. When the observed dry matter intake was regressed against CNCPS-predicted DMI with an adjustment for reduction in cell wall digestibility, the r2 was increased from .77 to .88. These results indicated the adjustment for ruminal nitrogen deficiency increased the accuracy of the CNCPS model in evaluating diets of growing animals when ruminally degraded N is deficient.

[1]  J. Russell,et al.  Strategies that ruminal bacteria use to handle excess carbohydrate. , 1998, Journal of animal science.

[2]  D. Minson Predicting feed intake of food-producing animals , 1988 .

[3]  J. Russell,et al.  The adverse effect of nitrogen limitation and excess-cellobiose on Fibrobacter succinogenes S85 , 1997, Applied Microbiology and Biotechnology.

[4]  J. Russell,et al.  Energetics of bacterial growth: balance of anabolic and catabolic reactions. , 1995, Microbiological reviews.

[5]  A. Pell,et al.  Prediction of ruminal volatile fatty acids and pH within the net carbohydrate and protein system. , 1996, Journal of animal science.

[6]  J. E. Sheehy,et al.  Comparison of predictions and observations to assess model performance: a method of empirical validation , 1997 .

[7]  William G. Cochran,et al.  Experimental Designs, 2nd Edition , 1950 .

[8]  M. P. Bryant,et al.  Studies on the Nitrogen Requirements of Some Ruminal Cellulolytic Bacteria. , 1961, Applied microbiology.

[9]  G. Broderick,et al.  Effects of incremental urea supplementation on ruminal ammonia concentration and bacterial protein formation. , 1980 .

[10]  J. Kessel,et al.  The effect of amino nitrogen on the energetics of ruminal bacteria and its impact on energy spilling. , 1996, Journal of dairy science.

[11]  J. Wiegel,et al.  Alternative pathways for biosynthesis of leucine and other amino acids in Bacteroides ruminicola and Bacteroides fragilis , 1984, Applied and environmental microbiology.

[12]  M. P. Bryant Nutritional requirements of the predominant rumen cellulolytic bacteria. , 1973, Federation proceedings.

[13]  P. L. Mitchell Misuse of regression for empirical validation of models , 1997 .

[14]  A. F. M. Smith,et al.  Prediction and Improved Estimation in Linear Models , 1978 .

[15]  M. P. Bryant,et al.  A Study of Bacterial Species from the Rumen Which Produce Ammonia from Protein Hydrolyzate. , 1961, Applied microbiology.

[16]  K. Kalscheur,et al.  Evaluation of models for balancing the protein requirements of dairy cows. , 1998, Journal of dairy science.

[17]  R. T. Brandt,et al.  Urea in dry-rolled corn diets: finishing steer performance, nutrient digestion, and microbial protein production. , 1997, Journal of animal science.

[18]  L. Satter,et al.  Effect of ammonia concentration on rumen microbial protein production in vitro , 1974, British Journal of Nutrition.

[19]  D. Johnson,et al.  Effects of ruminal administration of supplemental degradable intake protein and starch on utilization of low-quality warm-season grass hay by beef steers. , 1999, Journal of animal science.

[20]  J. Black,et al.  Effect of feeding system on performance and carcass characteristics of yearling steers, steer calves and heifer calves. , 1980, Journal of Animal Science.

[21]  K. W. King,et al.  NUTRITIONAL CHARACTERISTICS OF A BUTYRIVIBRIO , 1958, Journal of bacteriology.

[22]  J. Russell,et al.  Effect of Carbon-4 and Carbon-5 Volatile Fatty Acids on Digestion of Plant Cell Wall In Vitro , 1985 .

[23]  M. Allison Biosynthesis of amono acids by ruminal microorganisms. , 1969, Journal of animal science.

[24]  R. T. Brandt,et al.  Effects of dietary nitrogen source and concentration in high-grain diets on finishing steer performance and nutrient digestion. , 1997, Journal of animal science.

[25]  P. V. Soest,et al.  A net carbohydrate and protein system for evaluating cattle diets: I. Ruminal fermentation. , 1992, Journal of animal science.

[26]  T. Klopfenstein,et al.  Effect of degradable intake protein level on finishing cattle performance and ruminal metabolism. , 1998, Journal of animal science.

[27]  D. Fox,et al.  Compensatory Gain by Holstein Calves After Underfeeding Protein , 1988 .

[28]  P. V. Soest Nutritional Ecology of the Ruminant , 1994 .