Estimación in vivo de la canal porcina por el método de ultrasonografía: Un Enfoque de la Ecointensificación en Bioeconomía Porcina

Santiago Hernández Zapata, Noel Blanco Roa, Elvin Chavarría Rivaz and C. Zúniga-González ()

Revista Iberoamericana de Bioeconomía y Cambio Climàtico, 2019, vol. 5, issue 10

Abstract: In this study we analyze the relationship between subcutaneous fat thickness (EGS), muscle thickness (MS) and subcutaneous fat thickness and muscle thickness together (EGSM), measured with ultrasound at a single anatomical point of live pigs and more parameters important of the carcass (live weight, carcass weight, meat class A, B, C corresponding to first, second and third category meats, and specific cuts such as loin, leg and needle post). In our experiment we used hybrid pigs of the Pietrain, Landrace and Yorkshire breeds in an amount of 25 animals of both sexes. The results of the study suggest that the parameters of the channel composition analyzed here (Live weight, carcass weight, meat class A, B, C and specific cuts, loin, leg post and needle) are highly correlated with the thickness of subcutaneous fat measured with ultrasound on the last rib of the very long dorsal muscle on the le side of the live pig (r = 0.53 - 0.67). The multiple correlation of the linear regression prediction model between the parameters of the carcass and the thickness of the dorsal fat was (0.74) and the coefficient of determination showed sufficient predictability (R2 = 0.55). e linear regression prediction models of the carcass components with muscle thickness obtained low predictability (R2 = 0.23). Similarly in the regression model of subcutaneous fat thickness and muscle thickness together (R2 = 0.25). Among the most important correlations found are: right loin, class A meat (r = 0.80), live weight and whole carcass (r = 0.85) right shoulder and class B meat (r = 0.88) being this repetitive pattern in all correlations of ultrasonographic measurements and channel components. The results obtained in this work encourage its use as a predictive technique of the composition of the pig carcass in the Ecointensification productive path of the Bioeconomy.

Keywords: Livestock; Production/Industries (search for similar items in EconPapers)
Date: 2019
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Persistent link: https://EconPapers.repec.org/RePEc:ags:naunri:347478

DOI: 10.22004/ag.econ.347478

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