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Relationship between commercially available DNA analysis and phenotypic observations on beef quality and tenderness
J D Magolski1, D S Buchanan, K R Maddock-Carlin
1Department of Animal Sciences, North Dakota State University, Fargo, ND 58108, United States. james.magolski@ndsu.edu
Meat Science
|June 25, 2013
Summary
Selecting cattle with higher marbling and providing optimal nutrition are key for tender, acceptable beef. Genetic selection for tenderness showed limited predictive power in this study.
Area of Science:
- Animal Science
- Genetics
- Food Science
Background:
- Beef tenderness is a critical factor for consumer satisfaction.
- Genetic selection and nutritional management are potential strategies to improve beef quality traits.
- Warner-Bratzler shear force (WBSF) is a standard measure of beef tenderness.
Purpose of the Study:
- To evaluate the effectiveness of DNA-based genetic selection for improving beef tenderness.
- To identify key carcass traits influencing Warner-Bratzler shear force (WBSF).
- To compare DNA-based breeding values with actual carcass measurements in feedlot cattle.
Main Methods:
- Analysis of Warner-Bratzler shear force (WBSF) data from 560 mixed breed heifers and steers.
- Utilized data from five feedlot research projects conducted between 2008 and 2011.
- Performed IGENITY® analysis for selection indices and estimated breeding values, comparing them with carcass measurements.
Main Results:
- Marbling significantly influenced WBSF, explaining over 10% of the variation.
- Hot carcass weight was the second most influential trait, accounting for 4% of WBSF variation (P<0.01).
- Regression coefficients for IGENITY® molecular breeding values on phenotype for WBSF and other carcass traits were low (R² values ranging from 0.02 to 0.14).
Conclusions:
- Selecting cattle for increased marbling is a primary factor for enhancing beef tenderness.
- Nutritional management, ensuring diets meet or exceed growth requirements, is crucial for beef acceptability.
- Current DNA-based selection tools showed limited predictive accuracy for improving WBSF in this population.
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