10 resultados para Agrometeorology
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Condicoes climaticas; Precipitacao pluvial (mm); Temperatura do ar (oC); Temperaturas minimas (oC); Temperaturas maximas (oC); Umidade relativa do ar (%); Evaporacao do ar (mm); Insolacao (horas).
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Condicoes climaticas; Precipitacao pluvial (mm); Temperatura do ar (oC); Umidade relativa do ar (%); Evaporacao do ar (mm); Insolacao (horas e decimos).
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O clima pode ser entendido como as condições atmosféricas médias em uma certa região. Ele influencia diretamente a maioria das atividades humanas, em especial a agricultura na qual define o nível de produtividade agrícola, condicionado principalmente pela disponibilidade hídrica regional. Entretanto, os sistemas de classificações climáticas (SCC) são pouco utilizados no âmbito de estudos agrícolas pois, normalmente, considera-se sua escala de atuação muito abrangente. Dessa forma, valores médios mensais de temperatura máxima e mínima do ar de 27 estações termométricas e de 427 postos pluviométricos do Estado de São Paulo foram utilizados na atualização e melhoria do mapeamento dos SCC de Köppen modificado e de Thornthwaite, além da avaliação de potenciais aplicações em estudos de zoneamento agroclimáticos para o Estado de São Paulo. A utilização de dados de 427 localidades propiciou um mapeamento mais acurado do Estado pelas duas classificações. Avaliou-se a aplicabilidade das classificações em estudos agroclimáticos pela capacidade de separação dos climas pelos dois sistemas em relação aos elementos meteorológicos e componentes do balanço hídrico normal, com análises de dispersão dos dados, testes de separação de médias de Tukey e análises de cluster com dados independentes. O SCC de Köppen foi eficiente apenas na macroescala e com baixa capacidade de separação de tipos de climas em relação aos elementos meteorológicos (temperatura do ar, chuva) e elementos resultantes do balanço hídrico (evapotranspiração, deficiência e excedente hídrico). Conseqüentemente, não deve ser utilizado em estudos agrometeorológicos. O SCC de Thornthwaite permitiu separar eficientemente os climas na topoescala ou mesoescala, pois conseguiu resumir eficientemente as informações geradas por balanços hídricos normais, demonstrando capacidade para determinação de zonas agroclimáticas. Foram também feitas discussões sobre épocas de semeadura e qualidade de produtos agrícolas relacionadas com os SCC considerados.
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In the experimental area of the Department of Environmental Sciences (21.85° S; 48.43° W; 786 m), in the School of Agronomical Sciences, UNESP, Botucatu, SP, an experiment was carried out using peanut (Arachis hypogaea L), cv. IAC-TATU-ST, to quantify the crop daily water requirements. During the peanut crop cycle, the environmental variables, such as rainfall, air temperature, air relative humidity, soil matric potential, soil heat flux and radiation balance, have been registered continually. These measurements were used to calculate the daily crop evapotranspiration, by the Bowen ratio method. The water replacement required by the peanut crop was done the dripping irrigation system, oriented by a dynamic agrometeorological model that computes the entrance and exit of water in the soil. During the peanut crop cycle, 9.0 mm of water was used from sowing to emergence; 67.0 mm of water, in the growth stage; 166.0 mm, in the flowering stage; 124.0 mm in the final stage and 46.0 mm from physiological maturity to harvest. Oot of 412.0 mm of the total consumption, 246.0 mm of water was supplied by irrigation and 166.0 mm by the rain. The grain yield was 3.15 t ha-1 for 15% of humidity, and the water use efficiency was 0.764 kg m-3.
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The purpose of this study was to estimate the varieties of coffee Arabic Catucáand Catuaí productivity, in Zona da Mata, Minas Gerais, through agrometeorological mathematical models, considering the spatial variability of productivity in the area. The samplings were georrefered building an irregular grid, totalizing 50 samplings per area. After that, geostatic analysis was made to quantify spatial dependence degree of the real values and the estimated productivity. According to the classification, the models superestimated the productivity for the two varieties.
Resumo:
In Brazil, Eucalyptus grandis is a key species for wood production. However, some genotypes are susceptible to rust (Puccinia psidii), mainly in São Paulo State, where climatic conditions are favorable for its development. Rust represents a high economic risk to forest companies because of the high potential of damage to commercial eucalypt plantations. The aims of the present study were (i) to select progenies of E. grandis for stability and adaptability regarding resistance to rust at different locations; (ii) compare the selections under these different climatic conditions; and (iii) compare rust severity in the field with the theoretical model. We observed that climatic conditions were extremely influential factors for rust development, but even under favorable conditions for disease development, we found rust-resistant progenies. In sites unfavorable for rust development, we detected highly susceptible progenies. We found significant correlation among the genetic material, environmental conditions and disease symptoms, however, we observed a simple genotype-environmental interaction and significant genetic variability among the progenies. The average heritability was high among the progenies in all sites, indicating substantial genetic control for rust resistance. We also observed a good relationship between rust severity in the field and the theoretical model that considered annual average temperature and leaf wetness. © 2013 Elsevier B.V.
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Pós-graduação em Agronomia (Energia na Agricultura) - FCA
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In Brazil, Eucalyptus grandis is a key species for wood production. However, some genotypes are susceptible to rust (Puccinia psidii), mainly in São Paulo State, where climatic conditions are favorable for its development. Rust represents a high economic risk to forest companies because of the high potential of damage to commercial eucalypt plantations. The aims of the present study were (i) to select progenies of E. grandis for stability and adaptability regarding resistance to rust at different locations; (ii) compare the selections under these different climatic conditions; and (iii) compare rust severity in the field with the theoretical model. We observed that climatic conditions were extremely influential factors for rust development, but even under favorable conditions for disease development, we found rust-resistant progenies. In sites unfavorable for rust development, we detected highly susceptible progenies. We found significant correlation among the genetic material, environmental conditions and disease symptoms, however, we observed a simple genotype-environmental interaction and significant genetic variability among the progenies. The average heritability was high among the progenies in all sites, indicating substantial genetic control for rust resistance. We also observed a good relationship between rust severity in the field and the theoretical model that considered annual average temperature and leaf wetness.
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Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)
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2009