Lamb racks from commercial carcasses were scanned using near infrared spectroscopy (NIRS). The predictions accuracies (R2) for meat quality traits were assessed. Prediction accuracy ranged between 0.40 and 0.94. When predicted values were used to classify meat based on quality, 88.7- 95.2% of samples were correctly classified as quality-guaranteed.The accepted manuscript in pdf format is listed with the files at the bottom of this page. The presentation of the authors' names and (or) special characters in the title of the manuscript may differ slightly between what is listed on this page and what is listed in the pdf file of the accepted manuscript; that in the pdf file of the accepted manuscript is what was submitted by the author
Destructured zones in the core of cooked ham are associated with PSE in terms of biochemical charact...
Pork belly quality indicators are economically relevant in the pork industry. Near-infrared (NIR) sp...
The main definition for meat quality should include factors that affect consumer appreciation of the...
Lamb racks from commercial carcasses were scanned using near-infrared spectroscopy. The prediction a...
The use of near-infrared spectrometers (NIRS) for predicting meat quality traits directly in the aba...
The potential of four dimension reduction methods for near-infrared spectroscopy was investigated, i...
The study used visible and near-infrared spectroscopy (Vis-NIR) in a large commercial processing pla...
Visible and near infrared reflectance (Vis-NIR, 350 to 1800 nm), and near infrared transmittance (NI...
This review is aimed at providing an overview of recent advances made in the field of meat quality p...
This review is aimed at providing an overview of recent advances made in the field of meat quality p...
The aim of this study was to test the ability of visible-near infrared (Vis-NIR) reflectance spectro...
The objective was to study prediction of pork quality by near infrared spectroscopy (NIRS) technolog...
Longissimus dorsi samples (685) collected at four processing plants were used to develop prediction ...
Muscle foods such as meat are a perishable, nutritious, relatively expensive food commodity, a great...
In order for the meat industry to move towards a carcase payment system that is more consumer-focuse...
Destructured zones in the core of cooked ham are associated with PSE in terms of biochemical charact...
Pork belly quality indicators are economically relevant in the pork industry. Near-infrared (NIR) sp...
The main definition for meat quality should include factors that affect consumer appreciation of the...
Lamb racks from commercial carcasses were scanned using near-infrared spectroscopy. The prediction a...
The use of near-infrared spectrometers (NIRS) for predicting meat quality traits directly in the aba...
The potential of four dimension reduction methods for near-infrared spectroscopy was investigated, i...
The study used visible and near-infrared spectroscopy (Vis-NIR) in a large commercial processing pla...
Visible and near infrared reflectance (Vis-NIR, 350 to 1800 nm), and near infrared transmittance (NI...
This review is aimed at providing an overview of recent advances made in the field of meat quality p...
This review is aimed at providing an overview of recent advances made in the field of meat quality p...
The aim of this study was to test the ability of visible-near infrared (Vis-NIR) reflectance spectro...
The objective was to study prediction of pork quality by near infrared spectroscopy (NIRS) technolog...
Longissimus dorsi samples (685) collected at four processing plants were used to develop prediction ...
Muscle foods such as meat are a perishable, nutritious, relatively expensive food commodity, a great...
In order for the meat industry to move towards a carcase payment system that is more consumer-focuse...
Destructured zones in the core of cooked ham are associated with PSE in terms of biochemical charact...
Pork belly quality indicators are economically relevant in the pork industry. Near-infrared (NIR) sp...
The main definition for meat quality should include factors that affect consumer appreciation of the...