RESUMOO presente estudo foi desenvolvido com o objetivo de gerar modelos de regressão múltipla, visando a estimativa das temperaturas mínimas, máximas e médias mensais e média anual, e posterior estimativa da evapotranspiração de referência (ETo) para o estado do Rio de Janeiro, tendo como variáveis independentes latitude, longitude e altitude. Foram utilizados dados de temperatura do ar de 37 estações meteorológicas do INMET, sendo 31 localizadas no estado do Rio de Janeiro, 4 em Minas Gerais, 1 em São Paulo e 1 no Espírito Santo. Os modelos foram selecionados com base no nível de significância dos seus coeficientes e nos coeficientes de regressão ajustados. Os resultados indicam que: altitude e latitude foram as variáveis que mais influenciaram na estimativa das temperaturas, estando a primeira presente em todos os modelos gerados; a análise de desempenho dos modelos demonstrou que os valores de temperatura do ar estimados não diferiram estatisticamente dos valores medidos; e que os valores de ETo obtidos a partir de valores estimados de temperatura não diferiram estatisticamente daqueles estimados por valores medidos de temperatura. PALAVRAS-CHAVE ABSTRACTThe objective of the study was to generate multiple regression models to estimate minimum, maximum, mean monthly and mean annual air temperatures, followed by the estimate of reference evapotranspiration (ETo) in Rio de Janeiro state. Latitude, longitude and altitude were the independent variables. Data of air temperature from 37 meteorological stations of the INMET network were used, being 31 stations located in Rio de Janeiro state, 4 stations in Minas Gerais state, 1 station in São Paulo state and 1 station in Espírito Santo state. The models were selected according to the significance level of their coefficients and to the adjusted coefficients of regression. Results showed that the altitude and latitude were the variables that most influenced the estimates of temperature, and the former was present in all generated models. The analysis of the model performance showed that no statistically
Palavras-chave: Solanum melongena, Arachis pintoi, Paspalum notatum, "cama" de aviário, plantas de cobertura do solo. ABSTRACT Agroecological cultivation of eggplant under different doses of organic fertilization using perennial species as cover cropsAgronomic performance of eggplant was evaluated under organic management, comparing perennial grass and legume species as cover crops. The trial was carried out in Seropédica, Rio de Janeiro state, Brazil, using a randomized block design with a split plot arrangement and three replications. The evaluated treatments in the plots were forage peanut (Arachis pintoi) as cover crop, Bahia grass (Paspalum notatum) as cover crop, and conventional soil tillage (control). Split plot treatments were represented by increasing dosages of poultry litter, corresponding to 120, 240, 480, and 720 g plant -1 , which were partitioned through the eggplant cycle. The viability of forage peanut used as living mulch for eggplants was evidenced by the fact that its results did not differ statistically from conventional soil tillage for yield, number of fruits per hectare and average fruit weight of eggplant. The only exception is related to the use of forage peanut associated to the greatest dosis of organic fertilizer (720 g plant -1 ), which has shown superior results when compared to conventional soil tillage. Maximum values were obtained with poultry litter dosage of 600 g plant -1 (60.63 t ha -1 ) and 480 g plant -1 (55.80 t ha -1 ) for forage peanut and soil tillage treatments, respectively. On the other hand, Bahia grass did not allow to reach maximum eggplant yield, even at the highest dosage of poultry litter, indicating competition imposed by the cover crop. The results indicate agronomic feasibility of eggplant grown under agroecological management, with forage peanut as soil cover crop. The highest yield of eggplant was obtained with the use of 600 g plant -1 of poultry litter.
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