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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

Influence of different levels of concentrate and ruminally undegraded protein on digestive variables in beef heifers

TL;DR: No interactions between dietary levels of RUP and concentrate were observed for ruminal and digestive parameters, and Titanium dioxide showed to be similar to Cr(2)O(3) as an external marker to measure digestibility and nutrient fluxes in cattle.
Journal ArticleDOI

Chemical profile, energy values, and protein molecular structure characteristics of biofuel/bio-oil co-products (carinata meal) in comparison with canola meal.

TL;DR: Carinata meal has similar contents of total digestible nutrient (TDN) and predicted energy values to canoal meal (p > 0.05) and close correlations were observed between protein structural parameters and protein nutrient profiles and subfractions.
Journal ArticleDOI

An Optimization Model of the Dual-Purpose Cattle Production System in the Humid Lowlands of Venezuela

TL;DR: This paper developed a deterministic, multi-period linear programming (LP) model of the dual-purpose (milk-beef) cattle production system in the Sur del Lago region of Venezuela.
Journal ArticleDOI

Body composition and net energy and protein requirements of Morada Nova lambs

TL;DR: In this article, a comparative slaughter trial was conducted with 48 Morada Nova lambs to assess the net energy and protein requirements for growth and maintenance, and the results showed that the energy requirements for EBWG increased from 2.15 to 2.78 and the amount of protein deposited during the gain increased from 177.84 to 192.93.
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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