Avaliação de cultivares de pereira no município de Vacaria na safra 2015-2016.

A falta de cultivares adaptadas e a irregularidade e baixa produtividade dos pomares estão entre as principais causas do insucesso a cultura da pereira no Brasil. Anualmente, em torno de 90% da pera consumida no país é importada, especialmente da Argentina e do Chile. A região Nordeste do Rio Grande do Sul possui bom potencial para a produção de pera, necessitando-se, no entanto, em um primeiro momento, definir as cultivares mais bem adaptadas às condições climáticas locais. O objetivo do trabalho é avaliar a adaptação de cultivares europeias e híbridas de pereira em Vacaria, RS, visando a recomendação de uso.

Hibridações, frutificação efetiva e desenvolvimento de frutos de pereira.

A principal finalidade da hibridação é a obtenção de populações segregantes, a partir das quais indivíduos superiores podem ser selecionados. A falta de porta-enxertos adaptados para cultura da pereira no Brasil faz com que técnicas como o melhoramento genético clássico sejam aplicadas. Deste modo, para obtenção e seleção do material adequado a busca por segregação genética é continua, sendo utilizadas como alternativa cultivares copas. Com o objetivo específico de obter uma população segregante, visando à avaliação na frutificação efetiva, quantidade de sementes e massa e diâmetro de frutos oriundos de polinização aberta e dirigida, foram realizados seguintes cruzamentos: T1- Polinização aberta; T2- autopolinização de Willian?s e T3- Willian?s X Santa Maria (doadora de pólen). O delineamento experimental utilizado foi inteiramente casualizado com três repetições de 20 polinizações dirigida por tratamento. A polinização aberta resultou em maior frutificação efetiva. Já massa e diâmetro dos frutos não diferiu entre os tratamentos. A polinização aberta resultou em maior número de sementes, provavelmente devido a presença de abelhas no pomar.

Compatibilidade de enxertia entre porta-enxertos de marmeleiros e copa de pereira.

2011

Comportamento reprodutivo de cultivares de pereira úteis para o melhoramento genético de porta-enxertos.

2012

Efeito de caldo de folhas de pereira na germinação, crescimento e esporulação in vitro de Entomosporium mespili, causador da entomosporiose da pereira.

2011

Hoja Real de Pereira: Uso de la Tierra

Proyecto de Actualización Cartográfica de usos de la Tierra a escala 1:10.000 GAM de Costa Rica. Elaboración de Cartografía digital y Ortofotos.

LUCIA MIGUEL PEREIRA E O ENSAÍSMO

This paper aims to make a few remarks about the essayistic character on the construction of the Lucia Miguel Pereira’s critical method, especially regarding the role of intellectual and her notes to the contemporanity. For this, we did a brief research on the gender essay, its history and possibilities of intervention in society by the writers in this genre broadcasted their ideas about society and literature. It also aims to show the main lines that permeated the trajectory critical of the essayist, since her start in the critical universe to the texts of maturity, trying to focus on how the essayistic process helped create both the critical biographies written by Lucia Miguel as the creation of Prosa de Ficção, in which major critical study of her method is presented.

Active flow control bump design using hybrid Nash-game coupled to evolutionary algorithms

In this paper, the optimal design of an active flow control device; Shock Control Bump (SCB) on suction and pressure sides of transonic aerofoil to reduce transonic total drag is investigated. Two optimisation test cases are conducted using different advanced Evolutionary Algorithms (EAs); the first optimiser is the Hierarchical Asynchronous Parallel Evolutionary Algorithm (HAPMOEA) based on canonical Evolutionary Strategies (ES). The second optimiser is the HAPMOEA is hybridised with one of well-known Game Strategies; Nash-Game. Numerical results show that SCB significantly reduces the drag by 30% when compared to the baseline design. In addition, the use of a Nash-Game strategy as a pre-conditioner of global control saves computational cost up to 90% when compared to the first optimiser HAPMOEA.

Autonomous underwater vehicle trajectory design coupled with predictive ocean models : a case study

Data collection using Autonomous Underwater Vehicles (AUVs) is increasing in importance within the oceano- graphic research community. Contrary to traditional moored or static platforms, mobile sensors require intelligent planning strategies to manoeuvre through the ocean. However, the ability to navigate to high-value locations and collect data with specific scientific merit is worth the planning efforts. In this study, we examine the use of ocean model predictions to determine the locations to be visited by an AUV, and aid in planning the trajectory that the vehicle executes during the sampling mission. The objectives are: a) to provide near-real time, in situ measurements to a large-scale ocean model to increase the skill of future predictions, and b) to utilize ocean model predictions as a component in an end-to-end autonomous prediction and tasking system for aquatic, mobile sensor networks. We present an algorithm designed to generate paths for AUVs to track a dynamically evolving ocean feature utilizing ocean model predictions. This builds on previous work in this area by incorporating the predicted current velocities into the path planning to assist in solving the 3-D motion planning problem of steering an AUV between two selected locations. We present simulation results for tracking a fresh water plume by use of our algorithm. Additionally, we present experimental results from field trials that test the skill of the model used as well as the incorporation of the model predictions into an AUV trajectory planner. These results indicate a modest, but measurable, improvement in surfacing error when the model predictions are incorporated into the planner.

Networked aquatic microbial observing systems: An overview

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Design and implementation of sensor networks for the observation and research of harmful algal blooms in southern California coastal waters

Harmful Algal Blooms (HABs) have become an important environmental concern along the western coast of the United States. Toxic and noxious blooms adversely impact the economies of coastal communities in the region, pose risks to human health, and cause mortality events that have resulted in the deaths of thousands of fish, marine mammals and seabirds. One goal of field-based research efforts on this topic is the development of predictive models of HABs that would enable rapid response, mitigation and ultimately prevention of these events. In turn, these objectives are predicated on understanding the environmental conditions that stimulate these transient phenomena. An embedded sensor network (Fig. 1), under development in the San Pedro Shelf region off the Southern California coast, is providing tools for acquiring chemical, physical and biological data at high temporal and spatial resolution to help document the emergence and persistence of HAB events, supporting the design and testing of predictive models, and providing contextual information for experimental studies designed to reveal the environmental conditions promoting HABs. The sensor platforms contained within this network include pier-based sensor arrays, ocean moorings, HF radar stations, along with mobile sensor nodes in the form of surface and subsurface autonomous vehicles. FreewaveTM radio modems facilitate network communication and form a minimally-intrusive, wireless communication infrastructure throughout the Southern California coastal region, allowing rapid and cost-effective data transfer. An emerging focus of this project is the incorporation of a predictive ocean model that assimilates near-real time, in situ data from deployed Autonomous Underwater Vehicles (AUVs). The model then assimilates the data to increase the skill of both nowcasts and forecasts, thus providing insight into bloom initiation as well as the movement of blooms or other oceanic features of interest (e.g., thermoclines, fronts, river discharge, etc.). From these predictions, deployed mobile sensors can be tasked to track a designated feature. This focus has led to the creation of a technology chain in which algorithms are being implemented for the innovative trajectory design for AUVs. Such intelligent mission planning is required to maneuver a vehicle to precise depths and locations that are the sites of active blooms, or physical/chemical features that might be sources of bloom initiation or persistence. The embedded network yields high-resolution, temporal and spatial measurements of pertinent environmental parameters and resulting biology (see Fig. 1). Supplementing this with ocean current information and remotely sensed imagery and meteorological data, we obtain a comprehensive foundation for developing a fundamental understanding of HAB events. This then directs labor- intensive and costly sampling efforts and analyses. Additionally, we provide coastal municipalities, managers and state agencies with detailed information to aid their efforts in providing responsible environmental stewardship of their coastal waters.

Implementation of an embedded sensor network for the coordination of Slocum gliders for coastal monitoring and observation

Autonomous Underwater Vehicles (AUVs) are revolutionizing oceanography through their versatility, autonomy and endurance. However, they are still an underutilized technology. For coastal operations, the ability to track a certain feature is of interest to ocean scientists. Adaptive and predictive path planning requires frequent communication with significant data transfer. Currently, most AUVs rely on satellite phones as their primary communication. This communication protocol is expensive and slow. To reduce communication costs and provide adequate data transfer rates, we present a hardware modification along with a software system that provides an alternative robust disruption- tolerant communications framework enabling cost-effective glider operation in coastal regions. The framework is specifically designed to address multi-sensor deployments. We provide a system overview and present testing and coverage data for the network. Additionally, we include an application of ocean-model driven trajectory design, which can benefit from the use of this network and communication system. Simulation and implementation results are presented for single and multiple vehicle deployments. The presented combination of infrastructure, software development and deployment experience brings us closer to the goal of providing a reliable and cost-effective data transfer framework to enable real-time, optimal trajectory design, based on ocean model predictions, to gather in situ measurements of interesting and evolving ocean features and phenomena.

Trajectory design and implementation for multiple autonomous underwater vehicles based on ocean model predictions

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Networked robotic sensor platform deployments for use in coastal environmental assessment in southern California

Mobile sensor platforms such as Autonomous Underwater Vehicles (AUVs) and robotic surface vessels, combined with static moored sensors compose a diverse sensor network that is able to provide macroscopic environmental analysis tool for ocean researchers. Working as a cohesive networked unit, the static buoys are always online, and provide insight as to the time and locations where a federated, mobile robot team should be deployed to effectively perform large scale spatiotemporal sampling on demand. Such a system can provide pertinent in situ measurements to marine biologists whom can then advise policy makers on critical environmental issues. This poster presents recent field deployment activity of AUVs demonstrating the effectiveness of our embedded communication network infrastructure throughout southern California coastal waters. We also report on progress towards real-time, web-streaming data from the multiple sampling locations and mobile sensor platforms. Static monitoring sites included in this presentation detail the network nodes positioned at Redondo Beach and Marina Del Ray. One of the deployed mobile sensors highlighted here are autonomous Slocum gliders. These nodes operate in the open ocean for periods as long as one month. The gliders are connected to the network via a Freewave radio modem network composed of multiple coastal base-stations. This increases the efficiency of deployment missions by reducing operational expenses via reduced reliability on satellite phones for communication, as well as increasing the rate and amount of data that can be transferred. Another mobile sensor platform presented in this study are the autonomous robotic boats. These platforms are utilized for harbor and littoral zone studies, and are capable of performing multi-robot coordination while observing known communication constraints. All of these pieces fit together to present an overview of ongoing collaborative work to develop an autonomous, region-wide, coastal environmental observation and monitoring sensor network.