Objective measurement technologies for transforming the Australian & New Zealand livestock industries

Review: Improving the nutritional, sensory and market value of meat products from sheep and cattle

“…Lean meat yield is a negative predictor while intramuscular fat, a positive predictor (Pannier et al, 2018) and so reliable estimates for these as carcass grading parameters are now a high industry priority. Measuring intramuscular fat at line speed in whole lamb carcasses on the kill floor is the most preferable operation from an abattoir perspective, although camera systems assessing a cut surface in chilled carcasses/cuts might also be possible to incorporate (Gardner et al, 2021). A combination of carcass grading data for lean meat yield and intramuscular fat, carcass weight, meat aging time and pH/temperature decline postslaughter will form the predictors for a lamb cut  cook model similar to MSA beef system.…”

Next Generation Sequencing of Single Nucleotide Polymorphic DNA-Markers in Selecting for Intramuscular Fat, Fat Melting Point, Omega-3 Long-Chain Polyunsaturated Fatty Acids and Meat Eating Quality in Tattykeel Australian White MARGRA Lamb

“…In a recent review of the development, calibration, and validation of objective measurement technologies for carcass composition, lean, fat, and meat-eating quality traits in the Australian and New Zealand livestock industries, Gardner et al [5] highlighted the inherent difficulties associated with the poor measurement of meat-eating quality and lean meat yield. Attempts to predict IMF [6][7][8], intramuscular connective tissue [9], composition and quality characteristics [10], tenderness, ultimate pH, and IMF content [11][12][13] from near infra-red based regression equations were characterized by low accuracy, inconsistency, and divergence between calibration and validation data.…”

“…Attempts to predict IMF [6][7][8], intramuscular connective tissue [9], composition and quality characteristics [10], tenderness, ultimate pH, and IMF content [11][12][13] from near infra-red based regression equations were characterized by low accuracy, inconsistency, and divergence between calibration and validation data. Such inaccuracies lead to lamb inefficiencies and an estimated annual value-chain wastage costs of $130 million to the Australian beef industry [5].…”

Lipogenic Gene Single Nucleotide Polymorphic DNA Markers Associated with Intramuscular Fat, Fat Melting Point, and Health-Beneficial Omega-3 Long-Chain Polyunsaturated Fatty Acids in Australian Pasture-Based Bowen Genetics Forest Pastoral Angus, Hereford, and Wagyu Beef Cattle

“…However, measuring these meat quality traits is expensive as data are acquired after the animal is dead. Furthermore, current technologies developed to measure meat eating quality characteristics have low precision and high inconsistency, characterized by a wide divergence between calibration and validation data [ 23 ]. Such inaccuracies and low precision in the measurement of meat quality attributes cost the Australian beef industry AUD 130 million per year [ 23 ].…”

“…Furthermore, current technologies developed to measure meat eating quality characteristics have low precision and high inconsistency, characterized by a wide divergence between calibration and validation data [ 23 ]. Such inaccuracies and low precision in the measurement of meat quality attributes cost the Australian beef industry AUD 130 million per year [ 23 ]. Other previously proposed methods for predicting IMF and fatty acid composition in beef include the Bayesian-based Single Nucleotide Polymorphisms (SNP) Best Linear Unbiased Predictor, Least Absolute Shrinkage and Selection Operator, and X-ray absorptiometry scanner methods [ 24 , 25 , 26 , 27 , 28 ].…”