AIMC Topic: Rumen

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Predicting reticuloruminal pH and subacute ruminal acidosis of individual cows using machine learning and Fourier-transform infrared spectroscopy milk analysis.

Journal of dairy science Jun 9, 2025
Low reticuloruminal pH (rpH) for a prolonged period could lead to SARA. This disease negatively affects cow health and is associated with monetary losses for the dairy industry. The aim of this study was to predict rpH and SARA separately using diffe...
Female Animals Cattle Machine Learning Milk Acidosis Rumen Cattle Diseases Spectroscopy, Fourier Transform Infrared Hydrogen-Ion Concentration
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Probing the eukaryotic microbes of ruminants with a deep-learning classifier and comprehensive protein databases.

Genome research Feb 14, 2025
Metagenomics, particularly genome-resolved metagenomics, have significantly deepened our understanding of microbes, illuminating their taxonomic and functional diversity and roles in ecology, physiology, and evolution. However, eukaryotic populations...
Animals Deep Learning Fungi Metagenomics Rumen Computational Biology Gastrointestinal Microbiome Databases, Protein Ruminants Eukaryota Metagenome
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Predicting subacute ruminal acidosis from milk mid-infrared estimated fatty acids and machine learning on Canadian commercial dairy herds.

Journal of dairy science Jul 4, 2024
Our objective was to validate the possibility of detecting SARA from milk Fourier transform mid-infrared spectroscopy estimated fatty acids (FA) and machine learning. Subacute ruminal acidosis is a common condition in modern commercial dairy herds fo...
Rumen Milk Acidosis Animals Cattle Cattle Diseases Canada Fatty Acids Machine Learning Female
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A generalized machine-learning aided method for targeted identification of industrial enzymes from metagenome: A xylanase temperature dependence case study.

Biotechnology and bioengineering Nov 14, 2020
Growing industrial utilization of enzymes and the increasing availability of metagenomic data highlight the demand for effective methods of targeted identification and verification of novel enzymes from various environmental microbiota. Xylanases are...
Metagenome Rumen Endo-1,4-beta Xylanases Machine Learning Animals Cattle Microbiota Sheep Hot Temperature
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Using artificial neural networks to predict pH, ammonia, and volatile fatty acid concentrations in the rumen.

Journal of dairy science Aug 1, 2019
The objectives of this study were (1) to predict ruminal pH and ruminal ammonia and volatile fatty acid (VFA) concentrations by developing artificial neural networks (ANN) using dietary nutrient compositions, dry matter intake, and body weight as inp...
Male Diet Cattle Butyrates Fatty Acids, Volatile Linear Models Propionates Acetates Ammonia Rumen Hydrogen-Ion Concentration Neural Networks, Computer Female Animals
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Effect of feeding rumen-protected methionine on productive and reproductive performance of dairy cows.

PloS one Dec 20, 2017
The objectives of this study were to evaluate the effects of daily top-dressing (individually feeding on the top of the total mixed ration) with rumen-protected methionine (RPM) from 30 ± 3 until 126 ± 3 Days in milk on productive and reproductive pe...
Methionine Rumen Pregnancy Female Animals Reproduction Milk Dairying Cattle Amino Acids Animal Feed
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Integrated multi-omics reveals the impact of ruminal keystone bacteria and microbial metabolites on average daily gain in Xuzhou cattle.

Microbiology spectrum Aug 5, 2025
UNLABELLED: The rumen microbiome plays a crucial role in determining the metabolic and digestive efficiency of livestock. Despite its crucial role, the impact of the rumen microbiome on average daily gain (ADG) in Xuzhou cattle remains underexplored....
Rumen Cattle Bacteria Multiomics Animals Gastrointestinal Microbiome China Metabolomics Metagenomics
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The effect of nitrate and monensin on in vitro ruminal fermentation.

Journal of animal science Nov 1, 2017
Two experiments evaluated the effect of calcium ammonium nitrate decahydrate (calcium nitrate [NIT]) and monensin sodium (MON) on in vitro fermentation parameters of 2 contrasting diets (100:0 and 10:90 forage-to-concentrate ratios). Diet addition of...
Monensin Animal Feed Diet Rumen Cattle Fermentation Female Methane Nitrates Animals Digestion Calcium Compounds
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