Browsing by Author "Silva, S.R."
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- Development of a rapid and simple approach for kid carcass evaluation by vídeo image analysis.Publication . Monteiro, A.; Teixeira, Alfredo; Azevedo, Jorge; Lourenço, Ana Luísa; Dias-da-Silva, A.; Silva, S.R.objective of this work is the development of a simple and cost-effective video image analysis (VIA) system to evaluate kid carcass in small slaughter units. To achieve this objective a trial was conducted with 42 kid carcasses (6.6±2.6 kg) and models to predict carcass composition from VIA were established. While the carcasses were hanging in the gambrel an image of the dorsal view of each carcass was obtained with a digital camera (Sony, DCR-TRV460). For imaging, carcasses were placed in front of a non-glare black surface and illuminated with standard lighting. The camera was placed perpendicular to the carcass long axis. A total of 44 geometric measurements (linear and area) were obtained after carcass image analysis with the ImageJ 1.39J software.
- Prediction of apparent digestibility of hays from natural pastures of the Northeast region of PortugalPublication . Galvão, Lurdes; Guedes, Cristina M.; Rodrigues, M.A.M.; Silva, S.R.; Valentim, Ramiro; Moreira, Olga; Ribeiro, José Ramalho; Sequeira, C.A.In the Northeast region of Portugal hays from natural pastures are traditionally used as the main feed during the period of drought and the evaluation of its nutritive value is essential. The aim of this study was to predict the apparent organic matter digestibility (OMD) of 21 hays from natural pastures based on chemical composition, pepsin-cellulase solubility of organic matter (OMS) and in vitro organic matter digestibility. Chemical composition of hays showed a wide range of values and acid detergent lignin (ADL) was the component that presented the highest variation (CV = 18.4%). The OMD varied between 516 and 658 g/kg OM. The best single OMD predictor was OMS (RSD = 2.8%, R2 = 0.52, P<0.001). Using multiple regression to predict OMD, the variables included in the model were OMS and ADL (OMD = 21.51 + 0.94 OMS – 0.83 ADL; RSD = 2.75%; R2 = 0.54; P<0.0001). According to principal component analysis (PCA) hays were divided in 3 groups and the multiple regression established for the larger group of hays (n=10) was: OMD = 4.13 + 0.85 OMS – 1.03 ADL; RSD = 2.13%, R2 = 0.77, P<0.0001. The OMS method was superior to chemical composition and to the in vitro rumen fluid method in predicting OMD of hays from natural pastures. Results from PCA suggested that it may be useful to group these hays according to its chemical composition to accurately predict OMD.
- Real-time ultrasound (RTU) imaging methods for quality control of meatsPublication . Silva, S.R.; Cadavez, VascoIn this chapter the use of real-time ultrasonography to predict in vivo carcass composition and meat traits will be reviewed. The chapter begins by discussing background and principles of ultrasound. Then aspects affecting the suitability of realtime ultrasonography and image analysis for predicting carcass composition and meat traits of meat producing species and fish will be presented. This chapter also provides an overview of the present and future trends in the application of real-time ultrasonography in the meat industry. © 2012 Woodhead Publishing Limited All rights reserved.