Determinação de indicadores de eficiência e racionalidade energética na produção de etanol com a aplicação da lógica fuzzy

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

Aplicação da Lógica Fuzzy para avaliação do faturamento do consumo de energia elétrica e demanda de uma empresa de avicultura de postura

Pós-graduação em Agronomia (Energia na Agricultura) - FCA

A estrutura do nucleon na QCD e o modelo estatístico a Quarks

Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)

Eficiência da utilização de adubos verdes em pomar de laranjeira 'Pêra' (Citrus sinensis (L.) Osbeck)

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

Efeito do tratamento com progesterona e do diâmetro folicular nas características histológicas e moleculares uterinas em vacas Nelore em anestro pós-parto

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

Avaliação in vivo e in vitro do efeito do tempo sobre molas fechadas de níquel-titânio

Pós-graduação em Ciências Odontológicas - FOAR

Validação de um método de análise da porosidade em resinas acrílicas para base de prótese

Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)

Restauração ecológica de um solo decapitado sob intervenção antrópica há 17 anos

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

Efeito do cloprostenol sódico sobre a evolução uterina no puerpério de vacas nelore

Pós-graduação em Medicina Veterinária - FMVZ

Nutritional balance and yield for green manure orange trees

Intercropping could efficiently prevent soil nutrient losses caused by extensive agriculture. The present study aimed to assess the effect of green manure on the nutritional status of orange trees cultivar 'Pera' (Citrus sinensis (L.) Osbeck). The plants were grafted on 'Cravo' lime trees and were then planted in a 7x4m space. Four different treatments corresponding to the evaluated green manures were employed: jack bean (JB) (Canavalia ensiformis DC), lablab (LL) (Dolichos lablab L.), pigeon pea (PP) (Cajanus cajan L. Millsp), and Brachiaria (BQ) (Brachiaria brizantha Hochst ex A. Rich. Stapf) as control. The experimental design was in randomized blocks, in split-plot time, with six replicates, with four treatments (green manures) and two plants per evaluation. The nutritional status was assessed by using the DRIS method (Diagnosis and Recommendation Integrated System); the yield and the macro and micronutrient levels contained in green manures and in the control was also determined. The nutritional diagnosis indicated that, in the two years of experiment, plants treated with green manure showed better nutritional balance index compared to Brachiaria. This suggests that, over time, green manure can lead to better nutritional balance. Pigeon pea treatment showed the highest yields, compared to control, in the two evaluated crop cycles (2004/05 and 2005/06).

The feather mites of nightjars (Ayes: Caprimulgidae), with descriptions of two new species from Brazil (Acari: Xolalgidae, Gabuciniidae)

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

A rare finding of mites (Arachnida: Acari: Leeuwenhoekiidae) parasitising a whip spider (Arachnida: Amblypygi: Charinidae)

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

The effect of sets and repetitions of the spirometer by flow in cardiorespiratory parameters

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

Temporal analysis of prostaglandin F2 alpha receptor, caspase 3, and cyclooxygenase 2 messenger RNA expression and prostaglandin F2 alpha receptor and cyclooxygenase 2 protein expression in endometrial tissue from multiparous Nelore (Bos taurus indicus) cows treated with cloprostenol sodium during puerperium

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

A multisensor, multitemporal approach for monitoring herbaceous vegetation growth in the Amazon floodplain

The Amazon River floodplain is an important source of atmospheric CO2 and CH4. Aquatic herbaceous vegetation (macrophytes) have been shown to contribute significantly to floodplain net primary productivity (NPP) and methane emission in the region. Their fast growth rates under both flooded and dry conditions make herbaceous vegetation the most variable element in the Amazon floodplain NPP budget, and the most susceptible to environmental changes. The present study combines multitemporal Radarsat-1 and MODIS images to monitor spatial and temporal changes in herbaceous vegetation cover in the Amazon floodplain. Radarsat-1 images were acquired from Dec/2003 to Oct/2005, and MODIS daily surface reflectance products were acquired for the two cloud-free dates closest to each Radarsat-1 acquisition. An object-based, hierarchical algorithm was developed using the temporal SAR information to discriminate Permanent Open Water (OW), Floodplain (FP) and Upland (UL) classes at Level 1, and then subdivide the FP class into Woody Vegetation (WV) and Possible Macrophytes (PM) at Level 2. At Level 3, optical and SAR information were combined to discriminate actual herbaceous cover at each date. The resulting maps had accuracies ranging from 80% to 90% for Level 1 and 2 classifications, and from 60% to 70% for Level 3 classifications, with kappa values ranging between 0.7 and 0.9 for Levels 1 and 2 and between 0.5 and 0.6 for Level 3. All study sites had noticeable variations in the extent of herbaceous cover throughout the hydrological year, with maximum areas up to four times larger than minimum areas. The proposed classification method was able to capture the spatial pattern of macrophyte growth and development in the studied area, and the multitemporal information was essential for both separating vegetation cover types and assessing monthly variation in herbaceous cover extent.