Sistemas de produção de peixes e bivalves em aquacultura: crescimento e indicadores de qualidade

O presente relatório refere-se ao estágio curricular realizado na Estação Piloto de Piscicultura de Olhão, no período compreendido entre janeiro e julho de 2016, no âmbito do Mestrado Integrado em Medicina Veterinária da Universidade de Évora. Este trabalho divide-se em duas partes. A primeira parte descreve as atividades e respetiva casuística desenvolvidas nas diferentes áreas de produção aquícola. Na segunda parte é abordado o tema “Produção Aquícola de Peixes e Ostras em regime Semi-intensivo”, onde são enquadrados os conceitos relacionados com aquacultura, sistemas de produção e pesquisa de biomarcadores na qualidade e bem-estar animal. São ainda descritas as ações de acompanhamento, durante o estágio, de um projeto de investigação em sistemas de produção em tanques de terra exteriores e um caso clínico. Este relatório atesta a importância da Medicina Preventiva em aquacultura; Abstract: Fish and bivalve aquaculture production systems: growth and quality indicators The following report was elaborated after the externship conducted at the Olhão Pilot Aquaculture Station, between January and July of 2016, in order to fulfill the requirements for a Masters degree in Veterinary Medicine at the University of Évora. This report is divided in two parts. The first part contains a description of the developed activities and the casuistic at the different aquaculture production areas. The second part will focus on the development of the theme “Fish and Oyster aquaculture production in a semi-intensive culture system”, with a theoretical framework about aquaculture concepts, production systems and identifying biomarkers in animal healthcare. At last, are presented and supported the monitoring actions taken in an investigation study case about inshore production systems and a clinic case followed during the externship. This report attests the importance of Preventive Medicine in aquaculture.

Panicum maximum cv. Tanzânia: climate trends and regional pasture production in Brazil.

Projected change in forage production under a range of climate scenarios is important for the evaluation of the impacts of global climate change on pasture-based livestock production systems in Brazil. We evaluated the effects of regional climate trends on Panicum maximum cv. Tanzânia production, predicted by agro-meteorological model considering the sum of degree days and corrected by a water availa bility index. Data from Brazilian weather stations (1963?2009) were considered as the current climate (baseline), and future scenarios, based on contrasting scenarios interms of increased temperature and atmospheric CO2 concentrations (high and low increases), were determined for 2013?2040 (2025 scenario) and for 2043?2070 (2055 scenario). Predicted baseline scenarios indicated that there are regional and seasonal variations in P. maximum production related to variation intemperature and water availability during the year. Production was lower in the Northeast region and higher in the rainforest area. Total annual productionunder future climate scenarios was predicted toincrease by up to 20% for most of the Brazilian area, mainly due to temperature increase, according to each climate model and scenario evaluated. The highest increase in forage production is expected to be in the South, Southeast and Central-west areas of Brazil. In these regions, future climate scenarios will not lead to changes in the seasonal production, with largerincreases in productivity during the summer. Climate risk is expected to decrease, as the probability of occurrence of low forage productions will be lower. Due to the predicted increase in temperature and decrease in rainfall in the Northeast area, P. maximum production is expected to decrease, mainly when considering scenarios based on the PRECIS model for the 2055 scenario.

Effective Cell-Centred Time-Domain Maxwell's Equations Numerical Solvers

This research work analyses techniques for implementing a cell-centred finite-volume time-domain (ccFV-TD) computational methodology for the purpose of studying microwave heating. Various state-of-the-art spatial and temporal discretisation methods employed to solve Maxwell's equations on multidimensional structured grid networks are investigated, and the dispersive and dissipative errors inherent in those techniques examined. Both staggered and unstaggered grid approaches are considered. Upwind schemes using a Riemann solver and intensity vector splitting are studied and evaluated. Staggered and unstaggered Leapfrog and Runge-Kutta time integration methods are analysed in terms of phase and amplitude error to identify which method is the most accurate and efficient for simulating microwave heating processes. The implementation and migration of typical electromagnetic boundary conditions. from staggered in space to cell-centred approaches also is deliberated. In particular, an existing perfectly matched layer absorbing boundary methodology is adapted to formulate a new cell-centred boundary implementation for the ccFV-TD solvers. Finally for microwave heating purposes, a comparison of analytical and numerical results for standard case studies in rectangular waveguides allows the accuracy of the developed methods to be assessed.