2020
DOI: 10.1016/j.meatsci.2019.108017
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Prediction of meat quality traits in the abattoir using portable and hand-held near-infrared spectrometers

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Cited by 51 publications
(41 citation statements)
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“…In a very large survey carried out on another Italian beef breed (Piemontese) reared in north-west Italy in accordance with another set of PGI regulations [29], the authors were able to disentangle the effect of farm from that of date of slaughter, and found that the latter was often more important than the former. They also noted that the variation between individual farms within a common beef farming system is often more important than the variation between different farming systems [30]. Our results clearly show that a first level of analysis of the relationships between beef quality and the mineral profile should be the farm/date level.…”
Section: Animal Performance and Beef Quality Traitssupporting
confidence: 55%
“…In a very large survey carried out on another Italian beef breed (Piemontese) reared in north-west Italy in accordance with another set of PGI regulations [29], the authors were able to disentangle the effect of farm from that of date of slaughter, and found that the latter was often more important than the former. They also noted that the variation between individual farms within a common beef farming system is often more important than the variation between different farming systems [30]. Our results clearly show that a first level of analysis of the relationships between beef quality and the mineral profile should be the farm/date level.…”
Section: Animal Performance and Beef Quality Traitssupporting
confidence: 55%
“…Overall, the spectrum shows the typical spectral signature of meat tissue, characterized mainly by the protein, lipid, water, and pigment vibrational signal areas. The pattern of our beef spectra was generally similar to that previously reported for beef samples [ 13 , 24 , 25 ].…”
Section: Resultssupporting
confidence: 88%
“…There are several other recent studies on the accuracy of predicting meat characteristics using NIR spectroscopy [ 26 , 27 ]. The best results were obtained predicting the chemical composition of organic matter of meat and the color traits, whereas modest results were obtained for the other physical traits, such as drip and cooking losses and meat tenderness [ 13 , 28 , 29 , 30 ]. Although prediction of mineral content is mainly correlative in nature, several studies on NIRS predictions of minerals have been published in the field of food and agriculture [ 3 , 31 ].…”
Section: Resultsmentioning
confidence: 99%
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