999 resultados para espaçamento entre linhas


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O presente trabalho teve por objetivo estudar três espaçamentos entre fileiras (30, 40 e 50 cm) e três densidades de semeadura (100, 150 e 200 sementes viáveis/m2) quanto a fenologia da planta, os componentes da produção e a produtividade de grãos do arroz de sequeiro cv. IAC 201. Desta forma, foi instalado um experimento em condições de campo, em um Latossolo Vermelho escuro, epi-eutrófico, textura argilosa, em Selvíria, MS. A redução do espaçamento entre fileiras aumentou o número de colmos e de panículas. O aumento da densidade de semeadura reduziu o perfilhamento por planta. A densidade de 100 sementes/m2 é mais adequada para o cultivar IAC 201. em cultivo de sequeiro sob alta precipitação e boa distribuição pluvial, o espaçamento de 30 cm entre fileiras de plantas, proporcionou maior produtividade de grãos do cultivar IAC 201 de arroz.

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Em virtude das altas taxas de decomposição do material orgânico em regiões tropicais, um dos problemas para a manutenção e sustentabilidade do sistema de plantio direto é a necessidade de produção de grandes quantidades de palha. Com o objetivo de identificar, no sistema de integração agricultura-pecuária, as variações dos atributos físicos do solo e a produtividade de grãos de soja sobre palhada de braquiárias, este trabalho foi conduzido na FEPE-UNESP de Ilha Solteira, SP, e o delineamento experimental utilizado foi o de blocos ao acaso, com nove tratamentos em esquema fatorial (3 x 3), com quatro repetições. Os tratamentos foram constituídos por três espécies de braquiárias e três modalidades de consórcio das braquiárias com o milho. Os atributos físicos foram determinados antes da implantação do projeto de pesquisa, após a colheita do milho consorciado com as forrageiras e depois da colheita da soja. Na safra de verão a cultura da soja foi semeada sobre a palhada dos consórcios de milho com braquiárias, no espaçamento de 0,45 m, com 14 linhas por parcela e área útil correspondente às 4 linhas centrais de 5 m cada uma. Os resultados permitiram concluir que a consorciação e a sequência de culturas proporcionaram aumento na macroporosidade e porosidade total do solo. A Brachiaria brizantha semeada na época de adubação de cobertura do milho e a Brachiaria decumbens, na linha do milho, promoveram maiores valores de produtividade de grãos de soja.

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Model-oriented strategies have been used to facilitate products customization in the software products lines (SPL) context and to generate the source code of these derived products through variability management. Most of these strategies use an UML (Unified Modeling Language)-based model specification. Despite its wide application, the UML-based model specification has some limitations such as the fact that it is essentially graphic, presents deficiencies regarding the precise description of the system architecture semantic representation, and generates a large model, thus hampering the visualization and comprehension of the system elements. In contrast, architecture description languages (ADLs) provide graphic and textual support for the structural representation of architectural elements, their constraints and interactions. This thesis introduces ArchSPL-MDD, a model-driven strategy in which models are specified and configured by using the LightPL-ACME ADL. Such strategy is associated to a generic process with systematic activities that enable to automatically generate customized source code from the product model. ArchSPLMDD strategy integrates aspect-oriented software development (AOSD), modeldriven development (MDD) and SPL, thus enabling the explicit modeling as well as the modularization of variabilities and crosscutting concerns. The process is instantiated by the ArchSPL-MDD tool, which supports the specification of domain models (the focus of the development) in LightPL-ACME. The ArchSPL-MDD uses the Ginga Digital TV middleware as case study. In order to evaluate the efficiency, applicability, expressiveness, and complexity of the ArchSPL-MDD strategy, a controlled experiment was carried out in order to evaluate and compare the ArchSPL-MDD tool with the GingaForAll tool, which instantiates the process that is part of the GingaForAll UML-based strategy. Both tools were used for configuring the products of Ginga SPL and generating the product source code

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Nowadays, the importance of using software processes is already consolidated and is considered fundamental to the success of software development projects. Large and medium software projects demand the definition and continuous improvement of software processes in order to promote the productive development of high-quality software. Customizing and evolving existing software processes to address the variety of scenarios, technologies, culture and scale is a recurrent challenge required by the software industry. It involves the adaptation of software process models for the reality of their projects. Besides, it must also promote the reuse of past experiences in the definition and development of software processes for the new projects. The adequate management and execution of software processes can bring a better quality and productivity to the produced software systems. This work aimed to explore the use and adaptation of consolidated software product lines techniques to promote the management of the variabilities of software process families. In order to achieve this aim: (i) a systematic literature review is conducted to identify and characterize variability management approaches for software processes; (ii) an annotative approach for the variability management of software process lines is proposed and developed; and finally (iii) empirical studies and a controlled experiment assess and compare the proposed annotative approach against a compositional one. One study a comparative qualitative study analyzed the annotative and compositional approaches from different perspectives, such as: modularity, traceability, error detection, granularity, uniformity, adoption, and systematic variability management. Another study a comparative quantitative study has considered internal attributes of the specification of software process lines, such as modularity, size and complexity. Finally, the last study a controlled experiment evaluated the effort to use and the understandability of the investigated approaches when modeling and evolving specifications of software process lines. The studies bring evidences of several benefits of the annotative approach, and the potential of integration with the compositional approach, to assist the variability management of software process lines

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Software Product Line (SPL) consists of a software development paradigm, whose main focus is to identify features common and variability among applications in a specific domain. An LPS is designed to attend all products requirements from its product family. These requirements and LPS may have changes over time due to several factors, such as evolution of product requirements, evolution of the market, evolution of SLP process, evolution of the technologies used to develop the products. To handle these changes, LPS should be modified and evolve in order to not become obsolete, and adapt itself to new requirements. The Changes Impact Analysis is an activity that understand and identify what consequences these changes are cause on LPS. Impact Analysis on LPS may be supported by traceability relationships, which identify relationships between artefacts created during all phases of software development. Despite the solutions of change impact analysis based on traceability for software, there is a lack of solutions for assessing the change impact analysis based on traceability for LPS, since existing solutions do not include estimates specific to the artefacts of LPS. Thus, this paper proposes a process of change impact analysis and an tool for assessing the change impact through traceability of artefacts in LPS. For this purpose, we specified a process of change impact analysis that considers artifacts produced during the development of LPS. We have also implemented a tool which allows estimating and identifying artefacts and products of LPS affected from changes in other products, changes in class, changes in features, changes between releases of LPS and artefacts related to changes in core assets and variability. Finally, the results were evaluated through metrics

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Through the adoption of the software product line (SPL) approach, several benefits are achieved when compared to the conventional development processes that are based on creating a single software system at a time. The process of developing a SPL differs from traditional software construction, since it has two essential phases: the domain engineering - when common and variables elements of the SPL are defined and implemented; and the application engineering - when one or more applications (specific products) are derived from the reuse of artifacts created in the domain engineering. The test activity is also fundamental and aims to detect defects in the artifacts produced in SPL development. However, the characteristics of an SPL bring new challenges to this activity that must be considered. Several approaches have been recently proposed for the testing process of product lines, but they have been shown limited and have only provided general guidelines. In addition, there is also a lack of tools to support the variability management and customization of automated case tests for SPLs. In this context, this dissertation has the goal of proposing a systematic approach to software product line testing. The approach offers: (i) automated SPL test strategies to be applied in the domain and application engineering, (ii) explicit guidelines to support the implementation and reuse of automated test cases at the unit, integration and system levels in domain and application engineering; and (iii) tooling support for automating the variability management and customization of test cases. The approach is evaluated through its application in a software product line for web systems. The results of this work have shown that the proposed approach can help the developers to deal with the challenges imposed by the characteristics of SPLs during the testing process

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The tracking between models of the requirements and architecture activities is a strategy that aims to prevent loss of information, reducing the gap between these two initial activities of the software life cycle. In the context of Software Product Lines (SPL), it is important to have this support, which allows the correspondence between this two activities, with management of variability. In order to address this issue, this paper presents a process of bidirectional mapping, defining transformation rules between elements of a goaloriented requirements model (described in PL-AOVgraph) and elements of an architectural description (defined in PL-AspectualACME). These mapping rules are evaluated using a case study: the GingaForAll LPS. To automate this transformation, we developed the MaRiPLA tool (Mapping Requirements to Product Line Architecture), through MDD techniques (Modeldriven Development), including Atlas Transformation Language (ATL) with specification of Ecore metamodels jointly with Xtext , a DSL definition framework, and Acceleo, a code generation tool, in Eclipse environment. Finally, the generated models are evaluated based on quality attributes such as variability, derivability, reusability, correctness, traceability, completeness, evolvability and maintainability, extracted from the CAFÉ Quality Model

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The approach Software Product Line (SPL) has become very promising these days, since it allows the production of customized systems on large scale through product families. For the modeling of these families the Features Model is being widely used, however, it is a model that has low level of detail and not may be sufficient to guide the development team of LPS. Thus, it is recommended add the Features Model to other models representing the system from other perspectives. The goals model PL-AOVgraph can assume this role complementary to the Features Model, since it has a to context oriented language of LPS's, which allows the requirements modeling in detail and identification of crosscutting concerns that may arise as result of variability. In order to insert PL-AOVgraph in development of LPS's, this paper proposes a bi-directional mapping between PL-AOVgraph and Features Model, which will be automated by tool ReqSys-MDD. This tool uses the approach of Model-Driven Development (MDD), which allows the construction of systems from high level models through successive transformations. This enables the integration of ReqSys-MDD with other tools MDD that use their output models as input to other transformations. So it is possible keep consistency among the models involved, avoiding loss of informations on transitions between stages of development

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The Exception Handling (EH) is a widely used mechanism for building robust systems. In Software Product Line (SPL) context it is not different. As EH mechanisms are embedded in most of mainstream programming languages (like Java, C# and C++), we can find exception signalers and handlers spread over code assets associated to common and variable SPL features. When exception signalers and handlers are added to an SPL in an unplanned way, one of the possible consequences is the generation of faulty family instances (i.e., instances on which common or variable features signal exceptions that are mistakenly caught inside the system). In this context, some questions arise: How exceptions flow between the optional and alternative features an LPS? Aiming at providing answers to these questions, this master thesis conducted an exploratory study, based on code inspection and static analysis code, whose goal was to categorize the main ways which exceptions flow in LPSs. To support the study, we developed an static analysis tool called PLEA (Product Line Exception Analyzer) that calculates the exceptional flows of LPSs, and categorize these flows according to the features associated with handlers and signalers. Preliminary results showed that some types of exceptional flows have more potential to yield failures in exceptional behavior of SLPs

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Software Products Lines (SPL) is a software engineering approach to developing software system families that share common features and differ in other features according to the requested software systems. The adoption of the SPL approach can promote several benefits such as cost reduction, product quality, productivity, and time to market. On the other hand, the SPL approach brings new challenges to the software evolution that must be considered. Recent research work has explored and proposed automated approaches based on code analysis and traceability techniques for change impact analysis in the context of SPL development. There are existing limitations concerning these approaches such as the customization of the analysis functionalities to address different strategies for change impact analysis, and the change impact analysis of fine-grained variability. This dissertation proposes a change impact analysis tool for SPL development, called Squid Impact Analyzer. The tool allows the implementation of change impact analysis based on information from variability modeling, mapping of variability to code assets, and existing dependency relationships between code assets. An assessment of the tool is conducted through an experiment that compare the change impact analysis results provided by the tool with real changes applied to several evolution releases from a SPL for media management in mobile devices

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This work an algorithm for fault location is proposed. It contains the following functions: fault detection, fault classification and fault location. Mathematical Morphology is used to process currents obtained in the monitored terminals. Unlike Fourier and Wavelet transforms that are usually applied to fault location, the Mathematical Morphology is a non-linear operation that uses only basic operation (sum, subtraction, maximum and minimum). Thus, Mathematical Morphology is computationally very efficient. For detection and classification functions, the Morphological Wavelet was used. On fault location module the Multiresolution Morphological Gradient was used to detect the traveling waves and their polarities. Hence, recorded the arrival in the two first traveling waves incident at the measured terminal and knowing the velocity of propagation, pinpoint the fault location can be estimated. The algorithm was applied in a 440 kV power transmission system, simulated on ATP. Several fault conditions where studied and the following parameters were evaluated: fault location, fault type, fault resistance, fault inception angle, noise level and sampling rate. The results show that the application of Mathematical Morphology in faults location is very promising

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This study was carried out at the Department of Plant Production, Sector Horticulture, São Paulo State University-UNESP, Botucatu Campus, São Paulo State, Brazil in order to evaluate the effect of sources and increasing doses of potassium in roots of eggplant. The experimental design was randomized blocks in factorial scheme 2 x 4 (two sources of potassium: KCl and K(2)SO(4) and four doses of K(2)O, 250, 500, 750 and 1000 kg ha(-1)) and three replications. For the experiment, we used Oxisol medium texture (615 g of sand, 45 g of silt and 340 g of clay per kg soil). The soil passed through sieve of 5 mm and packed in plastic pots with a capacity of 32 liters of soil where plants were grown. The pots were distributed with a spacing of 0,63 m between plants and 1,0 m between rows each pot being grown with a plant. The evaluated characteristics were: root dry mass and volume of the root. It was concluded that sources and excessive doses of mineral K(2)O induces stress in eggplants and affect the roots being less harmful K(2)SO(4) source.

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O trabalho insere-se num estudo global sobre os efeitos do espaçamento entre sulcos de semeadura e da dose de adubação nitrogenada sobre as relações competitivas entre a cultura do arroz de sequeiro (Oryza sativa L.) e uma comunidade de plantas daninhas. Para tanto, os tratamentos foram dispostos num esquema fatorial 2x2x3, onde constituiram variáveis: duas condições de manejo da comunidade infestante - sem controle e com controle do mato durante todo o ciclo do arroz - dois espaçamentos entre sulcos de semeadura - 0,40 e 0,60 m - e três doses de nitrogênio - 2,4, e 7,2 de N/m de sulco. O experimento foi montado sobre solo Latossolo Vermelho Escuro fase arenosa e obedeceu o delineamento experimental de blocos ao acaso com 4repetições. Foram realizadas duas avaliações: por ocasião do perfilhamento e por ocasião do florescimento da cultura. em comparação com as plantas daninhas, os teores de N, P, Fe, Mn e Zn foram mais elevados no arroz; os de Ca e Mg foram menos elevados e os teores de K e Cu foram inferiores aos de D. horizontalis e superiores aos de 7. hirsuta. Por ocasião do florescimento, o arroz apresentou teores mais elevados de P, Cu, Mn e Zn, enquanto que a comunidade infestante apresentou maiores teores de N, K, Ca, Mg e Fe. Os efeitos do espaçamento e da fertilização nitrogenada apresentaram aspectos distintos de acordo com o nutriente, a espécie envolvida e a época da avaliação. de um modo geral, os efeitos das plantas daninhas foram mais acentuados no espaçamento de 0,60 m.

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Desenvolveu-se um trabalho de pesquisa na fazenda Jordão (município de Araguari, MG), na época de inverno, com o objetivo de verificar o desempenho agronômico de genótipos de tomateiro tipo Santa Cruz. Utilizou-se o delineamento experimental de blocos casualizados, com 14 tratamentos (genótipos) e quatro repetições. A parcela experimental foi constituída por duas fileiras com 12 plantas cada, no espaçamento de 1,00 m entre linhas e 0,60 m entre plantas (duas plantas por cova). As colheitas iniciaram-se em 25/8/96 e encerraram em 19/10/96, perfazendo um total de 17. de forma geral, todos os genótipos apresentaram produtividades elevadas, comparativamente ao rendimento médio nacional, principalmente os genótipos Santa Clara I-5300, Débora Plus, Santa Clara, Santa Clara Importada e Santa Clara III, todos com produtividade superior a 125 t/ha, podendo ser recomendados para plantio na região, no período de inverno. Apenas o genótipo Tom-556 e a cultivar Ângela Gigante I-5100 não tiveram peso médio de frutos superior a 100 g. As cultivares Saladinha, Santa Clara Importada, Concord e Jumbo, tiveram peso médio superior a 130 g, os quais se destacaram, também, em porcentagem de frutos tipo extra AA, juntamente com Santa Clara, Santa Clara I-5300, IAC Santa Clara, enquanto os genótipos Tom-556, Tex-015 e Ângela Gigante I-5100, se destacaram em frutos tipo extra A.

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O trabalho foi desenvolvido na fazenda Jordão (município de Araguari, MG), na época do verão (período das águas), com o objetivo de verificar o desempenho agronômico de genótipos de tomateiro tipo Santa Cruz. Utilizou-se o delineamento experimental blocos casualizados, com 16 tratamentos (genótipos) e quatro repetições. A parcela experimental foi constituída por duas fileiras com 12 plantas cada, no espaçamento de 1,00 m entre linhas e 0,55 m entre plantas (1 planta/cova). Efetuaram-se 17 colheitas, sendo a primeira aos 69 dias após o transplante. Vários genótipos apresentaram um bom desempenho agronômico, principalmente Saladinha, Débora Plus, SM-16 e Atlas, podendo ser cultivados no período de verão. Apenas Saladinha e Atlas ultrapassaram 140 g de peso médio, destacando-se também em frutos do tipo extra AA. Observou-se uma correlação significativa e negativa com r = -0,52 e -0,54 na primeira avaliação, e r = -0,55 e -0,45 na segunda avaliação para a produção total e produção comercial, respectivamente, em relação à incidência de geminivírus nos diferentes genótipos. Os híbridos Saladinha e SM-16 apresentaram o menor número de plantas viróticas, enquanto Santa Clara Importada, Santa Clara, Jumbo AG-592 e IAC Santa Clara, apresentaram o maior número.