Predição de ganhos genéticos em melhoramento florestal

Foram avaliados os ganhos totais preditos por diferentes critérios de seleção, em seis características de crescimento em famílias de meios-irmãos de Eucalyptus camaldulensis. A situação simulada consistiu na seleção de 25% das 44 famílias estudadas, e de 17% das plantas dentro dessas famílias, proporcionando, assim, uma seleção de 4,25% dos indivíduos constantes do ensaio. Os critérios de seleção empregados foram: seleção direta e indireta; índice clássico de Smith & Hazel, com quatro pesos econômicos, e índice de Pesek & Baker, em três situações. Os critérios de seleção utilizados mostraram-se semelhantes entre si, com ligeira superioridade do índice clássico quando se estabeleceu como vetor de pesos econômicos o coeficiente de variação genética associado a cada uma das características analisadas.

Uso de subprodutos de carvão vegetal na formação do porta-enxerto limoeiro 'Cravo' em ambiente protegido

O trabalho teve como objetivo avaliar o efeito do uso de fino de carvão no substrato e da aplicação de extrato pirolenhoso no substrato e na planta sobre o desenvolvimento de porta-enxertos de limoeiro 'Cravo' (Citrus limonia Osbeck) cultivados em ambiente protegido. O experimento foi desenvolvido no delineamento em blocos casualisados, com análise em esquema fatorial 3 x 2 x 3, sendo: 3 proporções de fino de carvão (0, 100 e 200 cm³ dm-3) em mistura com substrato comercial, 2 concentrações de extrato pirolenhoso (0 e 20 cm³ dm-3) misturadas no substrato (240 cm³ por dm³ de substrato) e 3 concentrações de extrato pirolenhoso (0, 5 e 10 cm³ dm-3) pulverizadas na parte aérea, em 4 repetições. Aos 150 e 180 dias após o plantio foram realizadas avaliações do desenvolvimento das plantas. As misturas de fino de carvão e substrato comercial contendo fino de carvão na proporção de 100 cm³ dm-3 não influíram no desenvolvimento de porta-enxertos de limoeiro 'Cravo' , porém, na proporção de 200 cm³ dm-3 prejudica o desenvolvimento dos mesmos. O umedecimento pré-plantio do substrato com solução diluída (20 cm³ dm-3) de extrato pirolenhoso ou pulverização da parte aérea das plantas com soluções a 5 e 10 cm³ dm-3 provoca redução do desenvolvimento de porta-enxertos de limoeiro 'Cravo' .

Busca heurística através de algoritmo genético e memético com construção de vocábulos para o problema de atribuição de localidades a anéis Sonet

Telecommunications play a key role in contemporary society. However, as new technologies are put into the market, it also grows the demanding for new products and services that depend on the offered infrastructure, making the problems of planning telecommunications networks, despite the advances in technology, increasingly larger and complex. However, many of these problems can be formulated as models of combinatorial optimization, and the use of heuristic algorithms can help solving these issues in the planning phase. In this project it was developed two pure metaheuristic implementations Genetic algorithm (GA) and Memetic Algorithm (MA) plus a third hybrid implementation Memetic Algorithm with Vocabulary Building (MA+VB) for a problem in telecommunications that is known in the literature as Problem SONET Ring Assignment Problem or SRAP. The SRAP arises during the planning stage of the physical network and it consists in the selection of connections between a number of locations (customers) in order to meet a series of restrictions on the lowest possible cost. This problem is NP-hard, so efficient exact algorithms (in polynomial complexity ) are not known and may, indeed, even exist

Estimativa de ganho genético a partir de diferenciais de seleção e parâmetros populacionais em um rebanho Caracu

Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)

Estudo genético da precocidade sexual de novilhas em um rebanho Nelore

Objetivou-se, com este trabalho, estimar a herdabilidade (h²) para prenhez de novilhas e sua correlação genética (rg) com idade ao primeiro parto (IPP), em animais da raça Nelore. A prenhez de novilhas foi definida de três formas: prenhez aos 16 meses (Pr16) - para as novilhas que pariram com menos de 31 meses, atribuiu-se 1 (sucesso) e, para aquelas que pariram após 30,99 meses ou que não pariram, atribuiu-se 0 (fracasso); prenhez aos 24 meses (Pr24) - para as novilhas que pariram até 46 meses (incluindo as Pr16), foi atribuído 1 e, para aquelas que não pariram 0; e prenhez da novilha (PrN) - atribuiu-se classificação 2 para as que pariram com menos de 31 meses, 1 para as que pariram entre 31 e 46 meses e 0 para as que não pariram. Os arquivos, analisados pelo Método R e Inferência Bayesiana, continham registros de 30.802 novilhas desmamadas. As análises forneceram médias de estimativas de h² de 0,52, 0,12 e 0,16 para Pr16, Pr24 e PrN, respectivamente, pelo Método R. O valor médio obtido por Inferência Bayesiana foi de 0,45 para Pr16. A rg estimada entre Pr16 e IPP foi -0,32. Os resultados indicam que, para selecionar para precocidade sexual, é necessário expor todas as fêmeas em idades jovens e que a mensuração da taxa de prenhez por meio da Pr16 é pertinente, uma vez que esta característica apresenta variabilidade genética alta e deve responder eficientemente à seleção com possibilidades de rápido ganho genético. A análise indicou também que Pr16 e IPP são determinadas em grande parte por genes diferentes.

Algoritmo Q-learning como estratégia de exploração e/ou explotação para metaheurísticas GRASP e algoritmo genético

Techniques of optimization known as metaheuristics have achieved success in the resolution of many problems classified as NP-Hard. These methods use non deterministic approaches that reach very good solutions which, however, don t guarantee the determination of the global optimum. Beyond the inherent difficulties related to the complexity that characterizes the optimization problems, the metaheuristics still face the dilemma of xploration/exploitation, which consists of choosing between a greedy search and a wider exploration of the solution space. A way to guide such algorithms during the searching of better solutions is supplying them with more knowledge of the problem through the use of a intelligent agent, able to recognize promising regions and also identify when they should diversify the direction of the search. This way, this work proposes the use of Reinforcement Learning technique - Q-learning Algorithm - as exploration/exploitation strategy for the metaheuristics GRASP (Greedy Randomized Adaptive Search Procedure) and Genetic Algorithm. The GRASP metaheuristic uses Q-learning instead of the traditional greedy-random algorithm in the construction phase. This replacement has the purpose of improving the quality of the initial solutions that are used in the local search phase of the GRASP, and also provides for the metaheuristic an adaptive memory mechanism that allows the reuse of good previous decisions and also avoids the repetition of bad decisions. In the Genetic Algorithm, the Q-learning algorithm was used to generate an initial population of high fitness, and after a determined number of generations, where the rate of diversity of the population is less than a certain limit L, it also was applied to supply one of the parents to be used in the genetic crossover operator. Another significant change in the hybrid genetic algorithm is the proposal of a mutually interactive cooperation process between the genetic operators and the Q-learning algorithm. In this interactive/cooperative process, the Q-learning algorithm receives an additional update in the matrix of Q-values based on the current best solution of the Genetic Algorithm. The computational experiments presented in this thesis compares the results obtained with the implementation of traditional versions of GRASP metaheuristic and Genetic Algorithm, with those obtained using the proposed hybrid methods. Both algorithms had been applied successfully to the symmetrical Traveling Salesman Problem, which was modeled as a Markov decision process

Análise comparativa do desempenho de um Controlador Fuzzy acoplado a um PID Neural sintonizado por um Algoritmo Genético com Controladores Inteligentes Convencionais

On this paper, it is made a comparative analysis among a controller fuzzy coupled to a PID neural adjusted by an AGwith several traditional control techniques, all of them applied in a system of tanks (I model of 2nd order non lineal). With the objective of making possible the techniques involved in the comparative analysis and to validate the control to be compared, simulations were accomplished of some control techniques (conventional PID adjusted by GA, Neural PID (PIDN) adjusted by GA, Fuzzy PI, two Fuzzy attached to a PID Neural adjusted by GA and Fuzzy MISO (3 inputs) attached to a PIDN adjusted by GA) to have some comparative effects with the considered controller. After doing, all the tests, some control structures were elected from all the tested techniques on the simulating stage (conventional PID adjusted by GA, Fuzzy PI, two Fuzzy attached to a PIDN adjusted by GA and Fuzzy MISO (3 inputs) attached to a PIDN adjusted by GA), to be implemented at the real system of tanks. These two kinds of operation, both the simulated and the real, were very important to achieve a solid basement in order to establish the comparisons and the possible validations show by the results

Separação cega de fontes lineares e não lineares usando algoritmo genético, redes neurais artificiais RBF e negentropia de Rényi como medida de independência

Conventional methods to solve the problem of blind source separation nonlinear, in general, using series of restrictions to obtain the solution, often leading to an imperfect separation of the original sources and high computational cost. In this paper, we propose an alternative measure of independence based on information theory and uses the tools of artificial intelligence to solve problems of blind source separation linear and nonlinear later. In the linear model applies genetic algorithms and Rényi of negentropy as a measure of independence to find a separation matrix from linear mixtures of signals using linear form of waves, audio and images. A comparison with two types of algorithms for Independent Component Analysis widespread in the literature. Subsequently, we use the same measure of independence, as the cost function in the genetic algorithm to recover source signals were mixed by nonlinear functions from an artificial neural network of radial base type. Genetic algorithms are powerful tools for global search, and therefore well suited for use in problems of blind source separation. Tests and analysis are through computer simulations

Resistência do solo à penetração, cobertura vegetal e produtividade do milho em plantio direto escarificado

O objetivo deste trabalho foi avaliar a influência da operação da escarificação ao longo do tempo sobre a estrutura de um solo em plantio direto, assim como os seus efeitos sobre a produtividade do milho e a formação de cobertura vegetal. O trabalho foi conduzido em um NITOSSOLO VERMELHO no município de Botucatu, São Paulo, Brasil. O delineamento experimental foi o de blocos casualizados em esquema de parcelas subdivididas, sendo as parcelas o fator manejo do solo (em plantio direto e em escarificação) e as subparcelas o fator período de avaliação (quatro e 18 meses após a escarificação) com quatro repetições por tratamento. Os resultados indicaram que, após o período de quatro meses, a escarificação reduziu significativamente a resistência do solo à penetração, até a profundidade de atuação das hastes do escarificador (0,30 m), e, após o período de 18 meses, o efeito da escarificação sobre a resistência do solo à penetração ocorreu apenas na camada superficial do solo (0,05 e 0,10 m). em área cultivada em sistema plantio direto, o efeito do preparo do solo com escarificador sobre a resistência à penetração tende a desaparecer no período de 1,5 anos. A quantidade de matéria seca na superfície do solo, em plantio direto, foi 30% superior ao solo com antecedente de escarificação pelo período de quatro meses.

Reguladores de crescimento vegetal na concentração de macronutrientes em videira Itália

Em clima tropical semi-árido, o uso de reguladores vegetais em fruteiras permite o manejo do crescimento vegetativo, tão necessário ao escalonamento da produção e ao aumento da fertilidade das gemas. Estas substâncias influenciam vários fenômenos fisiológicos relacionados com a absorção mineral, como a condutância de membrana e utilização metabólica de íons. O objetivo deste trabalho foi avaliar o crescimento vegetativo, produção de matéria seca dos ramos, concentração e quantidade acumulada de N, P, K, Ca e Mg nos ramos e nos pecíolos e produção de panículas florais em resposta ao uso de reguladores vegetais, em plantas de videira da cultivar Itália. No experimento foram avaliados três ciclos vegetativos e cinco tratamentos (controle, chlormequat - 1500 mg L-1; daminozide - 3000 mg L-1; uniconazole - 30 mg L-1 e cloreto de mepiquat - 300 mg L-1), aplicados nas plantas em pulverizações aos 35 e 70 dias após a poda. Com o chlormequat e o uniconazole ocorreu efeito cumulativo nas plantas, quando aplicados em ciclos sucessivos da cultura, favorecendo o acúmulo de nutrientes e a diferenciação de gemas férteis em comparação com as plantas controle das videiras 'Itália'. Embora o daminozide tenha inibido significativamente o crescimento das plantas, não resultou em maior acúmulo de nutrientes e emissão de panículas florais nas plantas tratadas.

Estudo avaliativo de um algoritmo genético auto-organizável e multiobjetivo utilizando aprendizado de máquina para aplicações de telecomunicações

This paper presents an evaluative study about the effects of using a machine learning technique on the main features of a self-organizing and multiobjective genetic algorithm (GA). A typical GA can be seen as a search technique which is usually applied in problems involving no polynomial complexity. Originally, these algorithms were designed to create methods that seek acceptable solutions to problems where the global optimum is inaccessible or difficult to obtain. At first, the GAs considered only one evaluation function and a single objective optimization. Today, however, implementations that consider several optimization objectives simultaneously (multiobjective algorithms) are common, besides allowing the change of many components of the algorithm dynamically (self-organizing algorithms). At the same time, they are also common combinations of GAs with machine learning techniques to improve some of its characteristics of performance and use. In this work, a GA with a machine learning technique was analyzed and applied in a antenna design. We used a variant of bicubic interpolation technique, called 2D Spline, as machine learning technique to estimate the behavior of a dynamic fitness function, based on the knowledge obtained from a set of laboratory experiments. This fitness function is also called evaluation function and, it is responsible for determining the fitness degree of a candidate solution (individual), in relation to others in the same population. The algorithm can be applied in many areas, including in the field of telecommunications, as projects of antennas and frequency selective surfaces. In this particular work, the presented algorithm was developed to optimize the design of a microstrip antenna, usually used in wireless communication systems for application in Ultra-Wideband (UWB). The algorithm allowed the optimization of two variables of geometry antenna - the length (Ls) and width (Ws) a slit in the ground plane with respect to three objectives: radiated signal bandwidth, return loss and central frequency deviation. These two dimensions (Ws and Ls) are used as variables in three different interpolation functions, one Spline for each optimization objective, to compose a multiobjective and aggregate fitness function. The final result proposed by the algorithm was compared with the simulation program result and the measured result of a physical prototype of the antenna built in the laboratory. In the present study, the algorithm was analyzed with respect to their success degree in relation to four important characteristics of a self-organizing multiobjective GA: performance, flexibility, scalability and accuracy. At the end of the study, it was observed a time increase in algorithm execution in comparison to a common GA, due to the time required for the machine learning process. On the plus side, we notice a sensitive gain with respect to flexibility and accuracy of results, and a prosperous path that indicates directions to the algorithm to allow the optimization problems with "η" variables

Fibras de licuri: um reforço vegetal alternativo de compósitos poliméricos

This research is based, at first, on the seeking of alternatives naturals reinforced in place of polymeric composites, also named reinforced plastics. Therein, this work starts with a whole licuri fiber micro structural characterization, as alternative proposal to polymeric composites. Licuri fiber is abundant on the Bahia state flora, native from a palm tree called Syagrus Coronata (Martius) Beccari. After, it was done only licuri fiber laminar composite developing studies, in order to know its behavior when impregnated with thermofix resin. The composite was developed in laminar structure shape (plate with a single layer of reinforcement) and produced industrially. The layer of reinforcement is a fabric-fiber unidirectional of licuri up in a manual loom. Their structure was made of polyester resin ortofitálica (unsaturated) only reinforced with licuri fibers. Fiber characterization studies were based on physical chemistry properties and their constitution. It was made by tension, scanning electron microscopy (SEM), x-ray diffraction (RDX) and thermal analyses (TG and DTA) tests, besides fiber chemistry analyses. Relating their mechanical properties of strength and hardness testing, they were determined through unit axial tension test and flexion in three points. A study in order to know fiber/matrix interface effects, in the final composites results, was required. To better understand the mechanical behavior of the composite, macroscopic and microscopic optical analysis of the fracture was performed

Obtenção de placas cerâmico a partir de formulações de massas triaxiais de resíduos de caulim, chamote de telha e cinza vegetal

The production of red ceramic is an industrial activity that causes an intense impact. The manufacture of its products considerably increases the demand for natural resources, mainly with the extraction of raw material. The ceramic material produced generates waste, such as ash firewood and chamote. The residue from the beneficiation of kaolin is deposited in a poor, degrades the environment and contaminate water sources and soil, constituting in this manner, ecological disasters. The main objective of this work is to develop the formulation of a ceramic product consisting solely of industrial solid wastes, from ceramic tiles, (chamote) residue of kaolin and ash firewood. It is assumed that this product made in the laboratory can be used in coatings, wall and floor. The aim is to facilitate the replacement of the raw material of original composition of a ceramic body, for waste, while the process of production equal to the conventionally used, so that the properties of the product are reproduced. This work is characterized waste as its chemical composition, analysis of particle size, X-ray diffraction and thermal behavior. Several formulations were studied. The mass of waste was prepared by dry process, pressed to 25 MPa, and then burned in muffle type oven to 850, 950, 1050 and 1150 °C. The results showed that it is technically possible to produce porous tiles only with waste. It was found that the formulations of bodies play a key role in the properties of the final product, as well as the sintering temperature and heating rates. RN in the waste of kaolin is estimated at 15,000 t/month, about 3,000 gray t/month and chamote with 10 million pieces/month damaged. The presence of carbonates of calcium and magnesium at 1050 ° C results in an appropriate porosity and mechanical strength. The formulation M3JE, composed of 69% waste of kaolin, 7.7% and 23.3% of chamote of gray, became suitable for porous materials with the strength and absorption within the level of national and international standards

Remoção de óleo da água de produção por flotação em coluna utilizando tensoativos de origem vegetal

In the petroleum industry, water is always present in the reservoir formation together with petroleum and natural gas and this fact provokes the production of water with petroleum, resulting in a great environmental impact. Several methods can be applied for treatment of oily waters, such as: gravitational vases, granulated media filtration systems, flotation process, centrifugation process and the use of hydrocyclones, which can also be used in a combined way. However, the flotation process has showed a great efficiency as compared with other methods, because these methods do not remove great part of the emulsified oil. In this work was investigated the use of surfactants derived from vegetable oils, OSS and OGS, as collectors, using the flotation process in a glass column with a porous plate filter in its base for the input of the gaseous steam. For this purpose, oil/water emulsions were prepared using mechanical stirring, with concentrations around 300 ppm. The air flow rate was set at 700 cm3/min and the porous plate filter used for the generation of the air bubbles has pore size varying from 16 to 40 Pm. The column operated at constant volume (1500mL). A new methodology has been developed to collect the samples, where, instead of collecting the water phase, it was collected the oil phase removed by the process in the top of the flotation column. It has been observed that it is necessary to find an optimum surfactant concentration to achieve enhanced removal efficiency. Being for OSS 1.275 mmol/L and for OGS 0.840 mmol/L, with removal efficiencies of 93% and 99%, respectively, using synthetic solutions. For the produced water, the removal in these concentrations was 75% for OSS and 65% for OGS. It is possible to remove oil from water in a flotation process using surfactants of high HLB, fact that is against the own definition of HLB (Hydrophile-Lipophile Balance). The interfacial tension is an important factor in the oil removal process using a flotation process, because it has direct interference in the coalescence of the oil drops. The spreading of the oil of the air bubble should be considered in the process, and for the optimum surfactant concentrations it reached a maximum value. The removal kinetics for the flotation process using surfactants in the optimum concentration has been adjusted according to a first order model, for synthetic water as for the produced water.

Características agronômicas, produtividade e qualidade fisiológica da soja safrinha sob semeadura direta, em função da cobertura vegetal e da calagem superficial

A produtividade da soja, no sistema de semeadura direta (SSD), pode ser influenciada pelo tipo de cobertura vegetal que antecede, bem como pela calagem superficial. Todavia, os efeitos dessa técnica sobre os componentes da produção e sobre a qualidade fisiológica das sementes têm sido pouco estudados, principalmente para a soja safrinha sob SPD. Assim, objetivou-se avaliar algumas características agronômicas, os componentes da produção, a produtividade e a qualidade fisiológica da semente da soja cultivada na safrinha, em função de diferentes coberturas vegetais, com e sem calagem superficial, sob SSD. O experimento foi conduzido no ano de 1999/00, na Fazenda Experimental Lageado, FCA/UNESP/Botucatu-SP. O delineamento experimental foi o de blocos casualizados em parcela subdividida, com 4 repetições. As parcelas de 6m x 10m, foram constituídas de sorgo de Guiné vermelho e branco (Sorghum bicolor), milheto (Pennisetum americanum), painço (Panicum dichotomiflorum), vegetação espontânea e sem vegetação. Aos 53 dias após a emergência, as coberturas vegetais foram dessecadas e acamadas, seguindo-se a aplicação superficial de 3,1 t.ha-1 de calcário na metade das parcelas, visando à elevação da V%=70%. Após 2 semanas, realizou-se a semeadura da soja, cv. IAC-19, em safrinha. Determinou-se o estande final, a altura de inserção da primeira vagem, a altura de planta, o número total de vagens e vagens chochas por planta, o número de sementes por vagem total, a massa de 100 sementes e a produtividade. Com relação à qualidade fisiológica das sementes determinou-se a germinação e o vigor, por meio dos testes de envelhecimento artificial, germinação a temperatura subótima, M.S. de plântula e condutividade elétrica. Na implantação do SSD, a cobertura vegetal e a calagem superficial não afetam as características agronômicas, os componentes da produção, a produtividade de sementes e a qualidade fisiológica das sementes de soja cultivadas em safrinha, com exceção da condutividade elétrica.