14 resultados para Pirus pyrifolia Nakai
em Repositório Institucional UNESP - Universidade Estadual Paulista "Julio de Mesquita Filho"
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Pós-graduação em Agronomia - FEIS
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Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)
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Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)
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Pulverizações foliares com produtos contendo micronutrientes, dentre os quais os produtos quelatizados, são utilizadas com relativa freqüência em frutíferas, sem o embasamento científico adequado, principalmente entre os agricultores mais tecnificados. Neste contexto, o objetivo deste trabalho foi verificar o efeito da aplicação via foliar de B e Zn sobre a produção e os teores de SST e ATT dos frutos da Pereira-Japonesa e da Pinheira. O experimento foi conduzido numa área irrigada, situada no cinturão verde do município de Ilha Solteira-SP. O solo da área foi classificado como Podzólico Vermelho-Escuro. Foram utilizadas plantas de Pereira-Japonesa, cultivar Okussankichi e de Pinheira. Os tratamentos utilizados foram: T1. apenas água; T2. ácido bórico; T3. sulfato de zinco; T4. T2 + T3; T5. ácido bórico + uréia + ácido cítrico + EDTA; T6. sulfato de zinco + uréia + ácido cítrico + EDTA; T7. T5 + T6; T8. ácido bórico + uréia + ácido cítrico + EDTA + molibdato de sódio + enxofre + cloreto de cálcio; T9. sulfato de zinco + ácido cítrico + EDTA + sulfato de Fe + sulfato de Mn + sulfato de Mg, e T10. T8+T9. Foram utilizadas doses de 110 g ha-1 de B e 250 g ha-1 de Zn, em cada aplicação. O delineamento experimental adotado foi o de blocos ao acaso, com quatro repetições e, para comparação de médias, foi utilizado o teste de Tukey. Com base nos resultados obtidos, pode-se concluir que: 1) a produção e os teores de SST e ATT dos frutos da pereira-japonesa e da pinheira não foram influenciados pela aplicação foliar de B e de Zn; b) a mistura de ácido bórico com quelatos foi eficiente no fornecimento de B às plantas de pereira- japonesa, o mesmo não ocorrendo para pinheira, c) o sulfato de zinco + produtos quelatizantes foram eficientes no aumento dos teores foliares de Zn somente na pereira.
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Background: The first distinct differentiation event in mammals occurs at the blastocyst stage when totipotent blastomeres differentiate into either pluripotent inner cell mass (ICM) or multipotent trophectoderm (TE). Here we determined, for the first time, global gene expression patterns in the ICM and TE isolated from bovine blastocysts. The ICM and TE were isolated from blastocysts harvested at day 8 after insemination by magnetic activated cell sorting, and cDNA sequenced using the SOLiD 4.0 system.Results: A total of 870 genes were differentially expressed between ICM and TE. Several genes characteristic of ICM (for example, NANOG, SOX2, and STAT3) and TE (ELF5, GATA3, and KRT18) in mouse and human showed similar patterns in bovine. Other genes, however, showed differences in expression between ICM and TE that deviates from the expected based on mouse and human.Conclusion: Analysis of gene expression indicated that differentiation of blastomeres of the morula-stage embryo into the ICM and TE of the blastocyst is accompanied by differences between the two cell lineages in expression of genes controlling metabolic processes, endocytosis, hatching from the zona pellucida, paracrine and endocrine signaling with the mother, and genes supporting the changes in cellular architecture, stemness, and hematopoiesis necessary for development of the trophoblast.
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Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)
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Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)
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The cultivation of fruit plants from temperate climate in tropical or subtropical regions can be a good income alternative for the producer. However, due to the little existent information about cultivation of those fruit plants, the producers use imported techniques of other producing areas, or even an association of practices used for other fruit plants, pointing out the leaf spray fertilization of micronutrients without appropriate scientific base. In this context, the objective of this study was to verify the effect of the leaf spray fertilization of B and Zn on productivity and fruit quality of Japanese pear tree. The experiment was conducted from 2004 to 2005, in Ilha Solteira, in northwestern São Paulo State-Brazil. The climate is, according to the Köpppen Classification, tropical wet and dry (Aw). The 'Okusankichi' cultivar, grafted on Pyrus communis L. rootstock was used as well as doses of 110 g.ha-1 of B and 250 g.ha-1 of Zn in each application. The treatments were: T1. water, T2. boric acid, T3. zinc sulfate, T4. T2 + T3, T5. boric acid + urea + citric acid + EDTA, T6. zinc sulfate + urea + citric acid + EDTA, T7. T5 + T6, T8. boric acid + urea + citric acid + EDTA + sodium molibdate + sulfur + calcium chloride, T9. zinc sulfate + urea + citric acid + EDTA + Fe sulfate + Mn sulfate + Mg sulfate and, T10. T8+T9. A randomized blocks design was used and the averages were compared by Tukey test. In the first crop the mixture of boric acid with quelating agents were efficient to supply B to the plants and zinc sulfate plus quelating agents were efficient to increase Zn leaf content. However, the productivity and the fruit quality were not influenced by the leaf spray of B and Zn. In the second crop the leaf content of B and Zn and the productivity were not influenced by the leaf spray; the boric acid and the zinc sulfate with or without quelating agents increased the contents of total soluble solids and, the boric acid with or without quelating agents increased the contents of total titratable acidity.
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This paper introduces a methodology for predicting the surface roughness of advanced ceramics using Adaptive Neuro-Fuzzy Inference System (ANFIS). To this end, a grinding machine was used, equipped with an acoustic emission sensor and a power transducer connected to the electric motor rotating the diamond grinding wheel. The alumina workpieces used in this work were pressed and sintered into rectangular bars. Acoustic emission and cutting power signals were collected during the tests and digitally processed to calculate the mean, standard deviation, and two other statistical data. These statistics, as well the root mean square of the acoustic emission and cutting power signals were used as input data for ANFIS. The output values of surface roughness (measured during the tests) were implemented for training and validation of the model. The results indicated that an ANFIS network is an excellent tool when applied to predict the surface roughness of ceramic workpieces in the grinding process.
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Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)
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Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)
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Ceramic parts are increasingly replacing metal parts due to their excellent physical, chemical and mechanical properties, however they also make them difficult to manufacture by traditional machining methods. The developments carried out in this work are used to estimate tool wear during the grinding of advanced ceramics. The learning process was fed with data collected from a surface grinding machine with tangential diamond wheel and alumina ceramic test specimens, in three cutting configurations: with depths of cut of 120 mu m, 70 mu m and 20 mu m. The grinding wheel speed was 35m/s and the table speed 2.3m/s. Four neural models were evaluated, namely: Multilayer Perceptron, Radial Basis Function, Generalized Regression Neural Networks and the Adaptive Neuro-Fuzzy Inference System. The models'performance evaluation routines were executed automatically, testing all the possible combinations of inputs, number of neurons, number of layers, and spreading. The computational results reveal that the neural models were highly successful in estimating tool wear, since the errors were lower than 4%.
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Baseado em um controlador digital de sinais, o sistema de monitoramento e detecção da queima em tempo real proposto neste estudo realiza a aquisição das sinais RMS de emissão acústica e da potência ativa do motor de acionamento do rebolo. Essas ações são necessárias para realizar o cálculo de estatísticas que foram utilizadas em trabalhos científicos e mostraram-se eficientes na detecção da queima em processos de retiticação. Dessa forma, é possível atuar sobre a retificadora, interrompendo seu funcionamento ou realizando correções nas variáveis do processo.
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Conselho Nacional de Desenvolvimento Cientifico e Tecnológico (CNPq)