Ácido indolbutírico, estiolamento de ramos e ferimento na base, no enraizamento de estacas lenhosas de caramboleira.

Este trabalho foi desenvolvido com o objetivo de verificar a influência do estiolamento, técnica de incisão na base da estaca e aplicação do ácido indolbutírico (AIB) no enraizamento de estacas lenhosas de caramboleira.Suplemento. Edição dos Resumos do XI Congresso Brasileiro de Fisiologia Vegetal, Gramado, set. 2007

Predicting Thermoelectric Power Plants Diesel/Heavy Fuel Oil Engine Fuel Consumption Using Univariate Forecasting and XGBoost Machine Learning Models

Monitoring and controlling thermoelectric power plants (TPPs) operational parameters have become essential to ensure system reliability, especially in emergencies. Due to system complexity, operating parameters control is often performed based on technical know-how and simplified analytical models that can result in limited observations. An alternative to this task is using time series forecasting methods that seek to generalize system characteristics based on past information. However, the analysis of these techniques on large diesel/HFO engines used in Brazilian power plants under the dispatch regime has not yet been well-explored. Therefore, given the complex characteristics of engine fuel consumption during power generation, this work aimed to investigate patterns generalization abilities when linear and nonlinear univariate forecasting models are used on a representative database related to an engine-driven generator used in a TPP located in Pernambuco, Brazil. Fuel consumption predictions based on artificial neural networks were directly compared to XGBoost regressor adaptation to perform this task as an alternative with lower computational cost. AR and ARIMA linear models were applied as a benchmark, and the PSO optimizer was used as an alternative during model adjustment. In summary, it was possible to observe that AR and ARIMA-PSO had similar performances in operations and lower error distributions during full-load power output with normal error frequency distribution of −0.03 ± 3.55 and 0.03 ± 3.78 kg/h, respectively. Despite their similarities, ARIMA-PSO achieved better adherence in capturing load adjustment periods. On the other hand, the nonlinear approaches NAR and XGBoost showed significantly better performance, achieving mean absolute error reductions of 42.37% and 30.30%, respectively, when compared with the best linear model. XGBoost modeling was 8.7 times computationally faster than NAR during training. The nonlinear models were better at capturing disturbances related to fuel consumption ramp, shut-down, and sudden fluctuations steps, despite being inferior in forecasting at full-load, especially XGBoost due to its high sensitivity with slight fuel consumption variations

Estiolamento, incisão na base da estaca e uso do ácido indolbutírico na propagação da caramboleira por estacas lenhosas.

Objetivou-se, neste trabalho, avaliar o efeito do estiolamento, da incisão na base da estaca e do tratamento com ácidoindolbutírico (AIB) no enraizamento de estacas lenhosas de caramboleira. As estacas foram padronizadas com um par de folhasinteiras e 12 cm de comprimento

Diferentes substratos na produção de porta-enxertos de caramboleira.

Objetivou-se com o presente estudo verificar a influência de diferentes substratos na produção de porta-enxertos de caramboleira. As sementes foram extraídas de frutos maduros de carambola cultívar Malásía, lavadas em água corrente e semeadas em bandejas de poliestireno (72 células, capacidade de 120 cm3/célula), contendo os seguintes substratos: vermículita, Plantmax, Rendmax, terra de barranco, areia e terra + areia (1:1, 2:1 e 1:2 v/v). Em seguída, as bandejas foram colocadas em ambiente coberto por sombrite com 50 % de lurninosidade, efetuando-se regas manuais diárias. Após 130 dias da semeadura, foram coletados os seguintes dados biométricos: porcentagem de plantas vivas, altura das plântulas, comprimento das raízes e número de folhas. Concluiu-se que a mistura terra + areia (1:1 v/v) foi mais eficiente na germinação de sementes e formação inicial de porta-enxertos de caramboleira

Seasonality Role on the Phenolics from Cultivated Baccharis dracunculifolia

Baccharis dracunculifolia is the source of Brazilian green propolis (BGP). Considering the broad spectrum of biological activities attributed to green proplis, B. dracunculifolia has a great potential for the development of new cosmetic and pharmaceutical products. In this work, the cultivation of 10 different populations of native B. dracunculifolia had been undertaken aiming to determine the role of seasonality on its phenolic compounds. For this purpose, fruits of this plant were collected from populations of 10 different regions, and 100 individuals of each population were cultivated in an experimental area of 1800 m2. With respect to cultivation, the yields of dry plant, essential oil and crude extract were measured monthly resulting in mean values of 399 ± 80 g, 0.6 ± 0.1% and 20 ± 4%, respectively. The HPLC analysis allowed detecting seven phenolic compounds: caffeic acid, ferulic acid, aromadendrin-4′-methyl ether (AME), isosakuranetin, artepillin C, baccharin and 2-dimethyl-6-carboxyethenyl-2H-1-benzopyran acid, which were the major ones throughout the 1-year monthly analysis. Caffeic acid was detected in all cultivated populations with mean of 4.0%. AME displayed the wide variation in relation to other compounds showing means values of 0.65 ± 0.13% at last quarter. Isosakuranetin and artepillin C showed increasing concentrations with values between 0% and 1.4% and 0% and 1.09%, respectively. The obtained results allow suggesting that the best time for harvesting this plant, in order to obtain good qualitative and quantitative results for these phenolic compounds, is between December and April