Vila Real de Santo António, Portugal
Vila Real de Santo António, Portugal
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Silva S.,CECAV | Patricio M.,CECAV | Guedes C.,CECAV | Mena E.,CECAV | And 3 more authors.
6th International Conference on Simulation and Modelling in the Food and Bio-Industry 2010, FOODSIM 2010 | Year: 2010

The intramuscular fat (IMF), recognized by the consumer as marbling, has a favorable effect on meat quality and therefore is an important trait to be assessed. The objective of this work is to predict Longissimus thoracis et lumborum muscle (LM) chemical IMF from marbling traits obtained by analysis of real time ultrasonography (RTU) images. Twenty six LM samples were collected from Charolais x Holstein heifers. The RTU images were obtained from LM samples using a RTU scanner equipped with a 7.5 MHz probe. The chemical fat of IMF was determined on LM samples. The RTU images were subjected to computer image analysis to determine the characteristics of marbling flecks. Simple and multiple regressions were established between the chemical IMF (Y) and the characteristics of marbling flecks determined by RTU (X). Stepwise procedures were used to found the best fit model to predict chemical IMF. A large variation was found for the characteristics of marbling flecks. Using regression analysis it was possible to predict chemical IMF from marbling fleck area and proportion of marbling flecks (R2=0.66 and 0.82, respectively, P<0.0001). The best fit explains 85% of chemical IMF variation. The results observed in this work suggest that RTU associated with image analysis was a valuable tool to predict chemical IMF of LM without destroying the muscle chop.

Silva S.R.,CECAV | Guedes C.M.,CECAV | Couto P.,CITAB | Santos A.S.,CECAV | Melo-Pinto P.,CITAB
EAAP Scientific Series | Year: 2012

The aim of the present study was to determine the relationship between real time ultrasonography (RTU) fat, muscle and thoracic wall tissue thickness measurements and both body condition score (BCS) and cresty neck score (CNS). The subcutaneous fat depth at lumbar (SFL) and rump, the tissue depth over (TDoR) and between the 12 th and 13 th ribs and longissimus thoracis et lumborum muscle depth were measured by RTU in forty two horses. The relationship between BCS, CNS and RTU measurements shows that the best correlation with BCS was achieved with TDoR (r=0.70; P<0.01) and for CNS was obtained with SFL (r=0.50; P<0.01). Also it was observed that best regression of BCS on RTU measurements was achieved with a polynomial model with TDoR (R2=0.599; P<0.01). Further research is needed to improve RTU image capture and analysis for application in horse body fat reserves management.

This presentation intends to make a brief description of the studies being investigated by our research group in the area valorization of fibrous feed utilizing the white-rot fungi (basidiomycetes fungi) enzyme complexes. © 2010 Sociedade Brasileira de Zootecnia.

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