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.

Adaptação do paradigma orientado a notificações para desenvolvimento de sistemas fuzzy

This work proposes to adjust the Notification Oriented Paradigm (NOP) so that it provides support to fuzzy concepts. NOP is inspired by elements of imperative and declarative paradigms, seeking to solve some of the drawbacks of both. By decomposing an application into a network of smaller computational entities that are executed only when necessary, NOP eliminates the need to perform unnecessary computations and helps to achieve better logical-causal uncoupling, facilitating code reuse and application distribution over multiple processors or machines. In addition, NOP allows to express the logical-causal knowledge at a high level of abstraction, through rules in IF-THEN format. Fuzzy systems, in turn, perform logical inferences on causal knowledge bases (IF-THEN rules) that can deal with problems involving uncertainty. Since PON uses IF-THEN rules in an alternative way, reducing redundant evaluations and providing better decoupling, this research has been carried out to identify, propose and evaluate the necessary changes to be made on NOP allowing to be used in the development of fuzzy systems. After that, two fully usable materializations were created: a C++ framework, and a complete programming language (LingPONFuzzy) that provide support to fuzzy inference systems. From there study cases have been created and several tests cases were conducted, in order to validate the proposed solution. The test results have shown a significant reduction in the number of rules evaluated in comparison to a fuzzy system developed using conventional tools (frameworks), which could represent an improvement in performance of the applications.