Practical means for estimating pork carcass composition
| Autor: | John C. Forrest, M. W. Orcutt, Allan P Schinckel, M. D. Judge, C. H. Kuei |
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| Rok vydání: | 1990 |
| Předmět: |
Male
Meat Swine media_common.quotation_subject Loin Standard deviation Carcass weight Animal science Linear regression Genetics Animals Carcass composition Mathematics media_common Multiple regression equation Variables Muscles food and beverages Regression analysis General Medicine Anatomy Organ Size Adipose Tissue Regression Analysis Animal Science and Zoology Female Food Science |
| Zdroj: | Journal of animal science. 68(12) |
| ISSN: | 0021-8812 |
| Popis: | A. P. Schinckel and C. H. Kuei Three hundred sixty-one market-weight barrow and gilt carcasses were physically dissected into bone, skin, fat and muscle. A three-variable multiple linear regression equation containing the same independent variables (warm carcass weight, loth rib loin muscle area and loth rib fat depth) used (U.S.) to determine pork carcass lean weight was found to be the most practical means for predicting weight of muscle standardized to 10% fat. Multiple linear regression equations containing more than three independent variables produced only slight improvements in R2 values; however, the standard deviation about the regression line was not greatly improved by the addition of more independent variables to this threeindependent-variable regression model. A single multiple linear regression equation using the three independent variables above may not be adequate to describe variation over the entire live-weight range for all hogs marketed in the U. S. For most accurate muscle weight prediction, different equations should be used for weight subclasses with one equation for carcasses under 100 kg and another for those heavier than 100 kg. A single prediction equation for muscle weight was adequate for carcasses of both barrows and gilts. (Key Words: Pork, Carcass Composition, Muscle Weight.) J. Anim. Sci. 1990. 68:3987-3997 |
| Databáze: | OpenAIRE |
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