Methane production by mixed ruminal cultures incubated in dual-flow fermentors.
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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.About:
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.read more
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Spent Craft Brewer's Yeast Reduces Production of Methane and Ammonia by Bovine Rumen Microbes
Robert W. Bryant,E. E. Rhys Burns,Christopher Feidler-Cree,Denia Carlton,Michael D. Flythe,Langdon J. Martin +5 more
TL;DR: In this article, the authors examined the correlation between the quantities of hop acids in spent yeast and the production of methane and ammonia by bovine rumen microbes in vitro and found that hops contain humulones and lupulones, molecules that are found in the cones of hops (Humulus lupulus).
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The nutritional evaluation of forage-based mixed rations in New Zealand using an in vitro gas production technique. 1: analytical survey
TL;DR: In this paper, the authors proposed a method to estimate GHG emissions from livestock, which can be problematic at a farm or animal level, and requires control of greenhouse gas emissions.
References
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Principles and Procedures of Statistics.
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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.
Charles J. Sniffen,J D O'Connor,P.J. Van Soest,Danny G. Fox,James B. Russell,James B. Russell,James B. Russell +6 more
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.