AIMC Topic: Milk
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Effects of bovine subclinical mastitis caused by Corynebacterium spp. on somatic cell count, milk yield and composition by comparing contralateral quarters.
Veterinary journal (London, England : 1997)
Aug 11, 2015
Subclinical mastitis caused by Corynebacterium spp. (as a group and at the species level) was investigated by evaluating contralateral (healthy and infected) mammary quarters for somatic cell count (SCC), milk yield and composition. Selection of cows...
Application of neural networks with back-propagation to genome-enabled prediction of complex traits in Holstein-Friesian and German Fleckvieh cattle.
Genetics, selection, evolution : GSE
Mar 31, 2015
BACKGROUND: Recently, artificial neural networks (ANN) have been proposed as promising machines for marker-based genomic predictions of complex traits in animal and plant breeding. ANN are universal approximators of complex functions, that can captur...
Quantification of whey in fluid milk using confocal Raman microscopy and artificial neural network.
Journal of dairy science
Mar 28, 2015
In this work, we assessed the use of confocal Raman microscopy and artificial neural network as a practical method to assess and quantify adulteration of fluid milk by addition of whey. Milk samples with added whey (from 0 to 100%) were prepared, sim...
Development of prediction equations for immunoglobulin A, immunoglobulin G, and immunoglobulin M concentrations in mature milk from Holstein cows using milk infrared spectral data.
Journal of dairy science
Jul 1, 2025
Immunoglobulins in ruminant mammary secretions play a central role in active immune protection of the mammary gland against infections. Ig are present in both colostrum and milk from cows, and interest in routinely quantifying the Ig content in milk ...
Active capture-directed bimetallic nanosubstrate for enhanced SERS detection of Staphylococcus aureus by combining strand exchange amplification and wavelength-selective machine learning.
Biosensors & bioelectronics
Jun 15, 2025
Staphylococcus aureus (S. aureus) is the leading risk factor for food safety and human health. Herein, a novel wavelength-selective machine learning -driven adaptive strand exchange amplification (SEA)/SERS biosensor was developed for rapid detection...
Deep learning and genomic best linear unbiased prediction integration: An approach to identify potential nonlinear genetic relationships between traits.
Journal of dairy science
Jun 1, 2025
Genomic prediction (GP) aims to predict the breeding values of multiple complex traits, usually assumed to be multivariate normally distributed by the largely used statistical methods, thus imposing linear genetic relationships between traits. Althou...
[Determination of vitamin K and vitamin K in modulation milk powder by post-column reduction-high performance liquid chromatography].
Se pu = Chinese journal of chromatography
Jul 8, 2020
A method for the determination of vitamin K and vitamin K in modulation milk powder was developed by high performance liquid chromatography (HPLC) coupled with post-column reduction. The samples were dissolved in water, lipase hydrolyzed, saponified ...
Forecasting the milk yield of cows on farms equipped with automatic milking system with the use of decision trees.
Animal science journal = Nihon chikusan Gakkaiho
Jan 1, 2020
The purpose of this paper was to utilize the decision trees technique to determine the factors responsible for high monthly milk yield in Polish Holstein-Friesian cows from 27 herds equipped with milking robots. The applied statistical method-the dec...
Removing aflatoxin M1 from milk with native lactic acid bacteria, centrifugation, and filtration.
Arhiv za higijenu rada i toksikologiju
Dec 1, 2018
In order to minimise human exposure to aflatoxin M1 (AFM1) the levels of this highly carcinogenic mycotoxin in milk, heat-treated milk, and other dairy products have been limited to <0.05 μg kg-1. However, its removal from dairy products presents a c...
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