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Open AccessJournal ArticleDOI

Methane production by mixed ruminal cultures incubated in dual-flow fermentors.

TLDR
Dilution rate and forage-to-concentrate ratio altered the partition of substrate by microbes and underestimated methane output at higher dilution rates and with high forage diets.
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This article is published in Journal of Dairy Science.The article was published on 2004-01-01 and is currently open access. It has received 70 citations till now. The article focuses on the topics: Dilution.

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Citations
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Journal ArticleDOI

Testing a stratified continuous rumen fermenter system

TL;DR: The tested CCF reaches stable conditions of fermentation after some days of adaptation, allows the survival of protozoa population and has a limited accumulation of undigested materials in the glass bottles.
Journal ArticleDOI

Methane emissions from sheep fed Eragrostis curvula hay substituted with Lespedeza cuneata

TL;DR: The results suggest that L. cuneata has the potential to reduce CH4 yield and possibly increase production from sheep by improving diet DM digestibility and through improved DMI.
Journal ArticleDOI

The effect of different doses of oregano oil on corn silage digestive and rumen fermentation.

TL;DR: In this paper, the authors discuss the effects of different levels of pH on the performance of a rumen pH and the effect of different pH levels on its properties. But they focus on the pH of the rumen.
Journal ArticleDOI

Effects of dilution rate on fermentation characteristics of feeds with different carbohydrate composition incubated in the rumen simulation technique (RUSITEC)

TL;DR: In this article, the authors investigated the impact of carbohydrate source and fluid passage rate (dilution rate) on ruminal fermentation characteristics and microbial crude protein (MCP) formation.
References
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Journal ArticleDOI

Principles and Procedures of Statistics.

Journal ArticleDOI

Estimación lineal de los requerimientos nutricionales del NRC para ganado de leche

TL;DR: Linear regression equations have been obtained to directly calculate the nutrient requirements of dairy cattle (TDN, DE, ME, NEL,CP, Ca, P, Vitamin A and Vitamin D) on different physiological stages: maintenance, pregnancy and milk production based on NRC nutrient requirements tables.
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A net carbohydrate and protein system for evaluating cattle diets: II. Carbohydrate and protein availability.

TL;DR: 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.