2023
DOI: 10.1093/jas/skad199
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An update of the predicted lean yield equation for the Destron PG-100 optical grading probe

Abstract: The objective was to update the equation used for prediction of pork carcass leanness with the Destron PG-100 optical grading probe. A recent cutout study (completed in 2020-2021) consisting of 337 pork carcasses was used for this research. An updated equation was generated using a calibration dataset (n = 188 carcasses) and prediction precision and prediction accuracy of the new equation was evaluated using a validation dataset (n = 149 carcasses). The updated equation was generated using forward stepwise sel… Show more

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Cited by 3 publications
(4 citation statements)
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“… 1 Hot carcass weight was measured as a head-on weight. 2 The optical probe used in this study was the Destron PG-100 (International Destron Technologies); predicted lean yield equations were based on the following references ( CPC, 1994 ; Bohrer et al, 2023 ). 3 The ultrasound technology used in this study was the AutoFom III (Frontmatec A/S).…”
Section: Resultsmentioning
confidence: 99%
See 2 more Smart Citations
“… 1 Hot carcass weight was measured as a head-on weight. 2 The optical probe used in this study was the Destron PG-100 (International Destron Technologies); predicted lean yield equations were based on the following references ( CPC, 1994 ; Bohrer et al, 2023 ). 3 The ultrasound technology used in this study was the AutoFom III (Frontmatec A/S).…”
Section: Resultsmentioning
confidence: 99%
“… 2 The optical probe used in this study was the Destron PG-100 (International Destron Technologies); predicted lean yield equations were based on the following references ( CPC, 1994 ; Bohrer et al, 2023 ). …”
Section: Resultsmentioning
confidence: 99%
See 1 more Smart Citation
“…The grading probe was inserted perpendicularly at the grading site between the third and fourth last ribs, 7 cm off the split line according to Canadian grading standards ( Pomar and M. Marcoux, 2003 ). Backfat thickness and muscle depth (i.e., loin depth) measurements were used to obtain the predicted lean yield value for each carcass using the following equation ( Bohrer et al, 2023 ):…”
Section: Methodsmentioning
confidence: 99%