Adaptação de cultivares diploides e tetraploides de azevém anual às condições climáticas do sudoeste do Paraná

Annual ryegrass is one of the species that best meets the needs of ranchers of southern Brazil during the winter period of the year. The breeding of ryegrass for many years has been developing superior materials, diploid and tetraploid, which, despite its higher prices for seed are being used by producers because of their better performance and quality. The objective of this research was to evaluate the behavior of different cultivars of Italian ryegrass - diploid and tetraploid, grazing, climate conditions of southwestern Paraná. The experiment was conducted in the city of Pato Branco / PR. The experimental design was a randomized block design with four replications. The observed cultivars were: LE 284, Camaro, Bakarat, Estações, Ponteio and Nibbio (diploid) and Winter Star, KLM 138, Escorpio, Titan, Barjumbo and Potro (tetraploid). The grazing was mob-grazing type time respecting input of 25 cm and 10 cm high output. It was observed that the cultivars that had high period of pasture use were those that produced larger amounts of forage. For all cultivars the highest forage accumulations occur between the months of August, September and October. Tetraploid have lower population density of tillers, but this does not affect the IAF among cultivars nor the interception of solar radiation before and after the completion of a grazing. NDF and ADF contents linearly increase with advancing in ryegrass cultivars development cycle. On average, tetraploid cultivars produce larger amounts of forage in relation to diploid cultivars.

Problem-Based SRS: método para especificação de requisitos de software baseado em problemas

Requirements specification has long been recognized as critical activity in software development processes because of its impact on project risks when poorly performed. A large amount of studies addresses theoretical aspects, propositions of techniques, and recommended practices for Requirements Engineering (RE). To be successful, RE have to ensure that the specified requirements are complete and correct what means that all intents of the stakeholders in a given business context are covered by the requirements and that no unnecessary requirement was introduced. However, the accurate capture the business intents of the stakeholders remains a challenge and it is a major factor of software project failures. This master’s dissertation presents a novel method referred to as “Problem-Based SRS” aiming at improving the quality of the Software Requirements Specification (SRS) in the sense that the stated requirements provide suitable answers to real customer ́s businesses issues. In this approach, the knowledge about the software requirements is constructed from the knowledge about the customer ́s problems. Problem-Based SRS consists in an organization of activities and outcome objects through a process that contains five main steps. It aims at supporting the software requirements engineering team to systematically analyze the business context and specify the software requirements, taking also into account a first glance and vision of the software. The quality aspects of the specifications are evaluated using traceability techniques and axiomatic design principles. The cases studies conducted and presented in this document point out that the proposed method can contribute significantly to improve the software requirements specification.