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Grant: Collaborative Research and Development Grants

University of Guelph

$152,176.00

Assessing carcass variability in Ontario pork and the potential to increase returns to producers and improve pork quality

FY 2019-20

Summary
The value of Canadian pork is currently assessed by measuring carcass weight and predicting leanness. This information is then incorporated into a grid for producer settlement which provides payment incentives for producing desirable pork carcasses and discounts for undesirable carcasses (excessively light/heavy; excessively trim/fat). Canadian pork packing plants currently use an electronic grading probe to measure backfat and muscle depth using one site to predict leanness/muscling throughout the entire carcass. Advanced ultrasonic image analysis has been used globally for over 20 years to measure leanness/fatness throughout the carcass but there are currently none of these systems in use at Canadian pork abattoirs. This collaborative research project between Conestoga Meat Packers, Ontario Pork, and Dr. Benjamin Bohrer's research team at the University of Guelph will be the first examining use of an advanced ultrasonic image analyzer (AutoFom III; Denmark) in a commercial Canadian pork facility (Conestoga Meat Packers) for determination of lean yield. The study will investigate the accuracy of the AutoFom system to assess carcass lean yield as compared to whole side cutting yields (completed at the University of Guelph Meat Science Laboratory), comparisons of carcass data using the standard probe techniques and the AutoFom system, and the ability of the AutoFom system to predict intramuscular fat scores in loins. Since intramuscular fat content can influence consumer eating experience, the ability to identify more highly marbled pork primals on the line may lead to value added pork cuts from individual pigs to increase carcass returns. As the meat science lab will have the pork cuts from the first part of this study, a second phase of the study will be to determine if there are differences in pork quality and sensory characteristics for 2-day versus 14-day aged pork. This study will benefit many Ontario producers, as information gained from the research will be publicly available to processors and producers outside of Conestoga Meat Packers' producers.
Program
Collaborative Research and Development Grants
Location
Ontario, Canada
Recipient Type
Academia
Type
Grant
Source
NSERC's Awards Data

As published

Application id
533100-2018
Name nom
Bohrer, Benjamin
Department département
Food Science
Organization id
24
Institution établissement
University of Guelph
Province en
Ontario
Province fr
Ontario
Country en
CANADA
Country fr
CANADA
Fiscal year exercice financier
2019
Competition year année de concours
2018
Award amount
152176
Program id
CRDPJ
Program name en
Collaborative Research and Development Grants
Program name fr
Subventions de recherche et développement coopérative
Group en
RESEARCH PARTNERSHIPS
Group fr
PARTENARIATS DE RECHERCHE
Committee code
96
Committee name en
RPP Internal Decision Cttee
Committee name fr
Cté de décision interne - PPR
Area of application code
100
Area of application group en
Agriculture and primary food production
Area of application group fr
Agriculture et produits alimentaires primaires
Area of application en
Agriculture and primary food production
Area of application fr
Agriculture et produits alimentaires primaires
Research subject code
6100
Research subject group en
Food science and technology
Research subject group fr
Science et technologie de l'alimentation
Research subject en
Food science and technology
Research subject fr
Science et technologie de l'alimentation
Installment
inst:1 - 2
Partie
1
Nb partie
2
Application title
Assessing carcass variability in Ontario pork and the potential to increase returns to producers and improve pork quality
Keyword
NSERC
Application summary
The value of Canadian pork is currently assessed by measuring carcass weight and predicting leanness. This information is then incorporated into a grid for producer settlement which provides payment incentives for producing desirable pork carcasses and discounts for undesirable carcasses (excessively light/heavy; excessively trim/fat). Canadian pork packing plants currently use an electronic grading probe to measure backfat and muscle depth using one site to predict leanness/muscling throughout the entire carcass. Advanced ultrasonic image analysis has been used globally for over 20 years to measure leanness/fatness throughout the carcass but there are currently none of these systems in use at Canadian pork abattoirs. This collaborative research project between Conestoga Meat Packers, Ontario Pork, and Dr. Benjamin Bohrer's research team at the University of Guelph will be the first examining use of an advanced ultrasonic image analyzer (AutoFom III; Denmark) in a commercial Canadian pork facility (Conestoga Meat Packers) for determination of lean yield. The study will investigate the accuracy of the AutoFom system to assess carcass lean yield as compared to whole side cutting yields (completed at the University of Guelph Meat Science Laboratory), comparisons of carcass data using the standard probe techniques and the AutoFom system, and the ability of the AutoFom system to predict intramuscular fat scores in loins. Since intramuscular fat content can influence consumer eating experience, the ability to identify more highly marbled pork primals on the line may lead to value added pork cuts from individual pigs to increase carcass returns. As the meat science lab will have the pork cuts from the first part of this study, a second phase of the study will be to determine if there are differences in pork quality and sensory characteristics for 2-day versus 14-day aged pork. This study will benefit many Ontario producers, as information gained from the research will be publicly available to processors and producers outside of Conestoga Meat Packers' producers.