Efeito imediato do método de secagem na qualidade de sementes de crambe

Crambe (Crambe abyssinica Hochst) seeds have high oil contents and its growth in Brazil aims to produce bio diesel. The crambe seeds production and commercialization began a few years ago. Research in technology production is essential and it is also important to use high quality seeds regardless of the technological level employed in the crop production. One of the factors that affect seed quality there is the drying process. Seed drying performed properly can reduce seed moisture content for storage without decrease in its qualitative characteristics. The aim of this study was to evaluate the immediate effect of natural and artificial drying methods (using heated and unheated air) on crambe seeds quality. The seeds were produced at Fazenda Lageado, Faculdade de Ciências Agronômicas, UNESP, Botucatu/SP, on April 2009. Seeds were submitted to the following drying methods: a) seed drying in the shade with natural ventilation; b) artificial drying method using heated air; c) artificial drying method using unheated air; d) drying on ceramic patio; e) drying on the mother plant. The seeds were evaluated immediately after drying. The following tests were performed: seed moisture content; standard germination; first count of germination; seedling emergence; emergence speed index and electrical conductivity. The experimental design was randomized blocks and the data obtained was subjected to analysis of variance, worth means being compared by Tukey test at 5% probability. There was no significant difference among drying treatments in relation to: germination rate, first count of germination, electrical conductivity, seedling emergence and emergence speed index. The highest percentage of abnormal seedlings was obtained on treatment with heated air drying. The drying on the mother plant method showed the lower percentage of dead seeds. The drying methods studied did not cause an immediate effect on crambe seeds quality, which showed high percentage of dormant seeds post-harvest.

Discriminação de classes de cobertura vegetal utilizando técnicas de classificação digital de imagens de sensoriamento remoto

The aim of this work is to discriminate vegetation classes throught remote sensing images from the satellite CBERS-2, related to winter and summer seasons in the Campos Gerais region Paraná State, Brazil. The vegetation cover of the region presents different kinds of vegetations: summer and winter cultures, reforestation areas, natural areas and pasture. Supervised classification techniques like Maximum Likelihood Classifier (MLC) and Decision Tree were evaluated, considering a set of attributes from images, composed by bands of the CCD sensor (1, 2, 3, 4), vegetation indices (CTVI, DVI, GEMI, NDVI, SR, SAVI, TVI), mixture models (soil, shadow, vegetation) and the two first main components. The evaluation of the classifications accuracy was made using the classification error matrix and the kappa coefficient. It was defined a high discriminatory level during the classes definition, in order to allow separation of different kinds of winter and summer crops. The classification accuracy by decision tree was 94.5% and the kappa coefficient was 0.9389 for the scene 157/128. For the scene 158/127, the values were 88% and 0.8667, respectively. The classification accuracy by MLC was 84.86% and the kappa coefficient was 0.8099 for the scene 157/128. For the scene 158/127, the values were 77.90% and 0.7476, respectively. The results showed a better performance of the Decision Tree classifier than MLC, especially to the classes related to cultivated crops, indicating the use of the Decision Tree classifier to the vegetation cover mapping including different kinds of crops.

Diversidade florística e morfoanatômica de comunidades não arbóreas de cerrado sensu stricto frente ao adensamento vegetacional na ausência de fogo

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

Nanoestruturas de GaN crescidas pelas técnicas de epitaxia por magnetron sputtering e epitaxia por feixe molecular

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