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Journal ArticleDOI

A net carbohydrate and protein system for evaluating cattle diets: II. Carbohydrate and protein availability.

TLDR
The Cornell Net Carbohydrate and Protein System has a submodel that predicts rates of feedstuff degradation in the rumen, the passage of undegraded feed to the lower gut, and the amount of ME and protein that is available to the animal.
Abstract
The Cornell Net Carbohydrate and Protein System (CNCPS) has a submodel that predicts rates of feedstuff degradation in the rumen, the passage of undegraded feed to the lower gut, and the amount of ME and protein that is available to the animal. In the CNCPS, structural carbohydrate (SC) and nonstructural carbohydrate (NSC) are estimated from sequential NDF analyses of the feed. Data from the literature are used to predict fractional rates of SC and NSC degradation. Crude protein is partitioned into five fractions. Fraction A is NPN, which is trichloroacetic (TCA) acid-soluble N. Unavailable or protein bound to cell wall (Fraction C) is derived from acid detergent insoluble nitrogen (ADIP), and slowly degraded true protein (Fraction B3) is neutral detergent insoluble nitrogen (NDIP) minus Fraction C. Rapidly degraded true protein (Fraction B1) is TCA-precipitable protein from the buffer-soluble protein minus NPN. True protein with an intermediate degradation rate (Fraction B2) is the remaining N. Protein degradation rates are estimated by an in vitro procedure that uses Streptomyces griseus protease, and a curve-peeling technique is used to identify rates for each fraction. The amount of carbohydrate or N that is digested in the rumen is determined by the relative rates of degradation and passage. Ruminal passage rates are a function of DMI, particle size, bulk density, and the type of feed that is consumed (e.g., forage vs cereal grain).

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Citations
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Journal ArticleDOI

Evaluation of alternative equations for prediction of intake for Holstein dairy cows.

TL;DR: Prediction accuracy of all equations for cows in wk 1 to 24 of lactation was better for primiparous animals than for multiparous cows, and standardized prediction equations for DMI were less accurate.
Journal ArticleDOI

Effects of reduced dietary protein and supplemental rumen-protected essential amino acids on the nitrogen efficiency of dairy cows

TL;DR: The limitations of requirement models aggregated at the protein level and the use of fixed postabsorptive efficiency to calculate milk protein requirements are highlighted, suggesting that greater N efficiency was achieved by feeding the low-protein diet.
Journal ArticleDOI

Predicting Ad Libitum Dry Matter Intake and Yields of Jersey Cows

TL;DR: Equations were developed to predict DMI of cows fed individually or in groups and to predict daily yields of 4% FCM and milk protein and should be applied to the development of software for computerized dairy ration balancing.
Journal ArticleDOI

Characterization of protein fractions and amino acids in ensiled alfalfa treated with different chemical additives

TL;DR: In this paper, the effects of formic acid, formaldehyde, tannic acid or mixtures of two were studied on their effects on ensiled alfalfa amino acids and N fractions by the Cornell Net Carbohydrate and Protein System (CNCPS).
Journal ArticleDOI

Carbohydrate quantitative digestion and absorption in ruminants: from feed starch and fibre to nutrients available for tissues.

TL;DR: It is concluded that concomitant empirical and mechanistic approach may likely help to progress towards development of multi-objective feed evaluation systems based on nutrient fluxes.
References
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Journal ArticleDOI

Methods for dietary fiber, neutral detergent fiber, and nonstarch polysaccharides in relation to animal nutrition.

TL;DR: In addition to NDF, new improved methods for total dietary fiber and nonstarch polysaccharides including pectin and beta-glucans now are available and are also of interest in rumen fermentation.
Journal ArticleDOI

A net carbohydrate and protein system for evaluating cattle diets: I. Ruminal fermentation.

TL;DR: The Cornell Net Carbohydrate and Protein System (CNCPS) has a kinetic submodel that predicts ruminal fermentation and the protein-sparing effect of ionophores is accommodated by decreasing the rate of peptide uptake by 34%.
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