Seleção e divergência genética de pessegueiros e nectarineiras e susceptibilidade a danos causados pelo frio na Estación Experimental de Aula Dei (CSIC)

The peaches and nectarines are highly appreciated by consumer, but it is climacteric fruits, with availability in the market in small time. It is necessary to invest to obtain genotypes with fruit quality and small perishability or that it presente less physiological disorders after storage. The aims of this work were i) to evaluate the genetic divergence among 40 peach and nectarine trees genotypes based on postharvest quality and select posible parents; ii) to evaluate the susceptibility to chilling injury in peaches and nectarines after cold storage; iii) to evaluate divergence of peaches and nectarines on the basis in the susceptibility for chiling injury and select superior genotypes; iv) evaluate the correlations between quality and susceptibility to chilling injury of peaches and nectarines v) select parents with the combination of lower susceptibility to chilling injury and higher quality fruit. The study was carried out in EEAD-CSIC, Zaragoza - Spain, during the production cycle 2013/2014. A total of 40 peaches and nectarines genotypes from germplasm collection were evaluated. The quality characteristics as flesh firmness, total soluble solids, titratable acidity, pH, rippining index and flesh color parameters were evaluated. The fruits were submitted to cold storage at 0 °C and 5 °C, with 95% average relative humidity. The evaluations were after 14 and 28 days, it being observed the presence of symptoms, such as wooliness through mealiness, flesh grainy, leatheriness and flesh color changes, through browning, bleeding and off flavor. As a selection parameter was adopted 20% of genotypes that had a higher frequency of superiority for quality characteristics, susceptibility to chilling injury and the combining of both. For quality characteristic presented greater divergence the ‘Queen Giant’, ‘Sudanel Blanco’ and ‘Borracho de Jarque’. Based on the quality the eight genotypes were selected, ‘Andross’, ‘San Jaime’, ‘San Lorenzo’, ‘Borracho de Jarque’, ‘Sudanell 1’, ‘Carson’, ‘Baby Gold 6’ and ‘Stanford’. All genotypes studied exhibited susceptibility to one or more symptoms caused by cold storage during 28 days, independent of temperature. For 14 days, the ‘Baby Gold 6’, ‘Flavortop’ and ‘Queen Giant’ genotypes did not show any physiological disorder caused by cold. In general, the temperature of 0 °C favored fruit postharvest conservation, it have a lower incidence and severity of symptoms caused by cold storage. The storage for 14 days contributed for the lower incidence of damage in the genotypes fruits studied. For 14 days, with both temperatures, it was observed divergence for ‘Queen Giant’, ‘Sudanell Blanco’, ‘Baby Gold 6’ ‘GF3’, ‘Baby Gold 8’, ‘Campiel’ and ‘Campiel Rojo’ genotypes. For 28 days, in the 5 °C condition, ‘Queen Giant’, ‘Big Top’, ‘Flavortop’ and ‘Redhaven’ genotypes were divergents. Based on susceptibility to chilling injury at 0 °C, the eight genotypes were selected, it being these, ‘Queen Giant’, ‘Keimoes’, ‘Flavortop’, ‘Big Top’, 'Redhaven', 'Sudanell 3', 'Bonet I' and ‘Carson’. The quality parameters as rippining index, soluble solids, firmness and titratable acidity presented correlation among them. These, also it had correlation with woolines and bowning, what it indicate that fruits with more ripening can have this symptoms more easily. The browning, mealiness, flesh grainy and off flavor variables were correlationed with the time period and temperartures, what it confirm that these symptoms are the main disorders caused by cold storage. The quality characteristics together susceptibility to chilling injury allowed selected ‘Baby Gold 6’, ‘Sarell’, ‘Keimoes’, ‘GF3’ ‘San Jaime’, ‘Big Top’, ‘Sudanell 1’, ‘Carson’, ‘Baby Gold 8’, and ‘San Lorenzo’ genotypes.

Diagnóstico automático de eventos e distúrbios em unidades geradoras e usinas utilizando lógica fuzzy

The electric power systems are getting more complex and covering larger areas day by day. This fact has been contribuiting to the development of monitoring techniques that aim to help the analysis, control and planning of power systems. Supervisory Control and Data Acquisition (SCADA) systems, Wide Area Measurement Systems and disturbance record systems. Unlike SCADA and WAMS, disturbance record systems are mainly used for offilne analysis in occurrences where a fault resulted in tripping of and apparatus such as a transimission line, transformer, generator and so on. The device responsible for record the disturbances is called Digital Fault Recorder (DFR) and records, basically, electrical quantities as voltage and currents and also, records digital information from protection system devices. Generally, in power plants, all the DFRs data are centralized in the utility data centre and it results in an excess of data that difficults the task of analysis by the specialist engineers. This dissertation shows a new methodology for automated analysis of disturbances in power plants. A fuzzy reasoning system is proposed to deal with the data from the DFRs. The objective of the system is to help the engineer resposnible for the analysis of the DFRs’s information by means of a pre-classification of data. For that, the fuzzy system is responsible for generating unit operational state diagnosis and fault classification.