Interest in methods that routinely and accurately measure and predict animal characteristics
is growing in importance, both for quality characterization of livestock products and for …

The presence of chemical contaminants, toxins, or veterinary drugs in milk, as well as the
adulteration of milk from different species, has driven the development of new tools to …

The quality of oil is highly dependent on its free fatty acid (FFA) content, especially due to
increased restrictions on renewable fuels. As a result, there has been a growing interest in …

The aim of this study was to evaluate the effectiveness of mid-infrared spectroscopy in
predicting milk protein and free amino acid (FAA) composition in bovine milk. Milk samples …

Near infrared reflectance (NIR) spectroscopy was evaluated as at-line technique to predict
FA profile of chicken breast directly at the slaughterhouse. Intact breasts of 214 chickens …

Individual milk samples from Holstein Friesian cows were collected and analysed by
inductively coupled plasma optical emission spectrometry (ICP-OES) and titration for the …

Fourier-transform infrared (FTIR) spectra are used to predict the fat, protein, casein, and
lactose contents of milk. These estimates are currently used to predict the individual …

The aim of this study was to assess the performance of Bayesian models commonly used for
genomic selection to predict “difficult-to-predict” dairy traits, such as milk fatty acid (FA) …

Mid-infrared (MIR) spectrometry was used to estimate the fatty acid (FA) composition in cow,
ewe, and goat milk. The objectives were to compare different statistical approaches with …

Milk is a good source of quality fats, proteins, carbohydrates, minerals, and vitamins.
Determining milk constituents is very important in dairy production and is usually conducted …