484 resultados para Estimativa de parâmetros
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Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)
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Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)
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Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)
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Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)
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Pós-graduação em Química - IQ
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Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)
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Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)
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Pós-graduação em Agronomia (Irrigação e Drenagem) - FCA
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Pós-graduação em Zootecnia - FCAV
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Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)
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Pós-graduação em Agronomia (Produção Vegetal) - FCAV
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As regiões escolhidas para o estudo são importantes no cenário citrícola irrigado, tanto em expansão quanto em atuação. Os dados meteorológicos utilizados para as estimativas são integrantes do banco de dados climáticos do software IRRIPLUS®. Com este software, estimou-se a evapotranspiração de referência (ETo) diária, utilizando as metodologias propostas por Penman-Monteith (EToPM), Hargreaves & Samani (EToHG) e Blaney-Criddle-FAO (EToBC), para o período de um ano. O objetivo deste estudo foi comparar os métodos de estimativa com EToPM, utilizando parâmetros de regressão (β0, β1), coeficiente de determinação (r²), e correlação (r), estimativa do erro-padrão (SEE), índices de concordância (d) e confiança (c). Os resultados indicam tendência de EToHG à superestimativa dos valores de ETo, exceto na região de Jaú, e subestimativa por EToBC, para todas as regiões estudadas. Nos valores mensais de ETo, os três métodos apresentam a mesma distribuição. O método de EToHG apresenta-se como uma excelente alternativa na estimativa de consumo de água pela cultura.
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The aim of this study was to estimate the genetic parameters on a progeny test of Enterolobium contortisiliquum, located at the Fazenda Experimental de Luíz Antônio (IF-SP), São Paulo State, Brazil, for genetic selection and seed production. The coefficients of genetic variation and heritability, as well as the genetic and phenotypic correlations for the silvicultural traits diameter at breast height (DBH) and total height of plants at the age of 19, 20, and 21 years and bifurcation (BIF) and stem straightness (RET), at the age of 19 years were estimated. The F test of analysis of variance detected significant variation among the progeny for the traits DBH, height in the three tested ages, and straightness of the trunk, which indicates that the tested population can be improved by selection among progenies. The estimation of heritability at the level of progeny (h²m, minimum of 0.50) for all traits was high and at the levels of individual plants (h²i, minimum 0.18) and within progenies (h²d, minimum of 0.14) was medium, indicating that the population can be improved by selection among and within progenies. Significant high genetic and phenotypic correlations among pairwise growth traits of the same age were detected as well as among those with different ages. Therefore, the direct selection, of a trait allows indirect selection of another. The results showed the potential of this progeny test to enhance a seed orchard by selection and seed production for commercial and environmental reforestation plans.
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Leaf area estimate may contribute to understand the relationships of interference among weeds and crops. The objective of this research was to obtain a mathematical equation to estimate the leaf area of Euphorbia heterophylla based on linear measures of the leaf blade. Correlation studies were carried out using the real leaf area and leaf length (C) and the maximum leaf width (L) of 200 leaf blades which were collected from several agroecosystems at Universidade Estadual Paulista in Jaboticabal, SP, Brazil. The evaluated statistic models were: linear Y = a + bx; simple linear Y = bx; geometric Y = ax b; and exponential Y = ab x. All of the evaluated models can be used for E. heterophylla leaf area estimation. The simple linear regression model is suggested using C*L and taking the linear coefficient equal to zero. Thus, an estimate of the leaf area of E. heterophylla can be obtained using the equation Af' = 0.6816*(C*L).
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The objective of this study was to obtain a mathematical equation to estimate the leaf area of Panicum maximum using linear measures of leaf blade. Correlation studies were conducted involving the real leaf area (Sf), the main vein leaf length (C), and the maximum leaf width (L). The linear and geometric equations related to C provided good leaf area estimates. For practical reasons, the use of an equation involving only the C*L product is suggested. Thus, an estimate of P. maximum leaf area can be obtained by the equation Sf = 0.6058 (C*L), with the coefficient of determination R = 0.8586.