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Cull sow knife-separable lean content evaluation at harvest and lean mass content prediction equation development
Caitlyn E Abell1, Kenneth J Stalder, Haven B Hendricks
1Department of Animal Science, Iowa State University, Ames, IA 50011, United States.
Meat Science
|March 13, 2012
Summary
This study developed a prediction equation for lean content in cull sows. Findings show lighter sows have more lean meat, aiding processors in purchasing decisions.
Area of Science:
- Animal Science
- Meat Science
- Food Science
Background:
- Cull sows represent a significant portion of the pork industry.
- Accurate lean content prediction is crucial for processors' purchasing decisions and product formulation.
- Variations in carcass composition exist across different market weight classes (MWC).
Purpose of the Study:
- To develop a prediction equation for carcass knife-separable lean in cull sows.
- To analyze lean and fat content within individual primal cuts across USDA MWC.
- To establish a unified prediction model applicable across various cull sow MWC.
Main Methods:
- Analysis of carcass and primal cut knife-separable lean content.
- Statistical modeling to identify predictors of carcass lean.
- Comparison of lean and fat percentages across different USDA MWC.
Main Results:
- Significant differences in lean and fat percentages were observed in primal cuts across USDA MWC.
- Lighter USDA MWC exhibited higher carcass lean and lower fat percentages than heavier MWC.
- Hot carcass weight was the primary factor influencing carcass lean variation, with backfat also being significant.
Conclusions:
- A single prediction equation for carcass lean can be effectively used across all USDA MWC.
- This approach assists processors in making informed cull sow purchasing decisions.
- The findings enable processors to optimize the mix of animals from different MWC to achieve desired lean:fat ratios in pork products.
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