963 resultados para Pre-dawn leaf water potencial


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Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)

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Pós-graduação em Agronomia (Agricultura) - FCA

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Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)

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Pós-graduação em Agronomia (Produção Vegetal) - FCAV

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Pós-graduação em Agronomia (Ciência do Solo) - FCAV

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Pós-graduação em Agronomia (Irrigação e Drenagem) - FCA

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Pós-graduação em Agronomia (Agricultura) - FCA

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Pós-graduação em Agronomia (Proteção de Plantas) - FCA

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Pós-graduação em Agronomia (Proteção de Plantas) - FCA

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The objective of this work was to evaluate rootstock influence on agronomical, ecophysiological and qualitative characteristics of 'Syrah' vines managed by double pruning. Grapevines were grafted onto 'SO4', '110 Richter' and '1103 Paulsen' rootstocks and trained in vertical shoot position, with no irrigation. Ecophysiological characteristics, yield and composition of ripe grapes were evaluated in three crop seasons (2007, 2008 and 2010). Rootstocks did not affect pre-dawn water potential, with values close to -0.2 MPa, indicating that there was no soil water deficit at the end of ripening (June). There was also no significant effect of rootstocks on yield. The rootstock '1103 Paulsen' induced lower vegetative growth, lower photosynthetic rate and the best results for berry maturation for crop seasons with lower amount of rainfall. The rootstocks '110 Richter' and 'SO4' showed higher vigor under the meteorological conditions of 2010 and the greatest photosynthetic rates in the same period. Meteorological conditions significantly affected technological and phenolic ripeness, with best results observed in drought years. The '1103 Paulsen' rootstock provides better balance between vigor and yield, increasing grape quality.

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The recent development of in-situ monitoring devices, such as UV-spectrometers, makes the study of short-term stream chemistry variation relevant, especially the study of diurnal cycles, which are not yet fully understood. Our study is based on high-frequency data from an agricultural catchment (Studienlandschaft Schwingbachtal, Germany). We propose a novel approach, i.e. the combination of cluster analysis and Linear Discriminant Analysis, to mine from these data nitrate behavior patterns. As a result, we observe a seasonality of nitrate diurnal cycles, that differs from the most common cycle seasonality described in the literature, i.e. pre-dawn peaks in spring. Our cycles appear in summer and the maximum and minimum shift to a later time in late summer/autumn. This is observed both for water- and energy-limited years, thus potentially stressing the role of evapotranspiration. This concluding hypothesis on the role of evapotranspiration on nitrate stream concentration, which was obtained through data mining, broadens the perspective on the diurnal cycling of stream nitrate concentrations.