RESUMOA antracnose, doença que ocorre pré-colheita e pós-colheita da banana, é causada pelo fungo Colletotrichum musae que leva a baixa qualidade dos frutos e traz prejuízos a sua comercialização. Este trabalho teve como objetivo padronizar frações ativas contra o C. musae obtidas através do extrato de folhas e flores de boldo-brasileiro (Plectranthus barbatus) coletadas em diferentes meses do ano. As coletas foram realizadas nos meses de novembro à julho. Após, as folhas e flores sofreram processos de secagem, trituração e extração etanólica pela técnica de maceração. O extrato obtido foi seco para completa eliminação do solvente e redissolvido em concentração padronizada de etanol para aplicação nas placas cromatográficas. As frações de cada extrato foram separadas de acordo com o grau de polaridade pela técnica de cromatografia em camada delgada através da qual obteve-se 3 frações. Cada fração obtida foi dissolvida em dimetilsulfóxido e vertida em meio de cultura (BDA) fundente. Os tratamentos foram feitos em triplicata e foi avaliado o crescimento radial do fungo após 5 dias em BOD (25°C). Os melhores resultados foram obtidos a partir de flores coletadas no mês de fevereiro e a fração com maior inibição foi a fração 3 e 2. Obteve-se até 60% de inibição de crescimento do micélio do fungo em placa de Petri. PALAVRAS-CHAVE: antracnose, banana, pós-colheita USE EXTRACT OF Plectranthus barbatus AS A ALTERNATIVE CONTROL OFColletotrichum musae ABSTRACT Anthracnose, banana disease occurs in the pre-harvest and post-harvest, caused by Colletotrichum musae brings loss to their marketing. This work aimed to use methods for standardization of extracts of fractions microbiologically active sheets and flowers of false boldo (Plectranthus barbatus) and know the relationship of the months and extract fraction related to the activity of the pathogen. Leaf samples and flowers were taken from November to July. These processes suffered drying, grinding and ethanolic extraction into three fractions by macerating technique. Subsequently drying was performed, then dissolved in DMSO and transferred into flux culture medium (PDA). The treatments were evaluated in triplicate and the radial growth of
Extratos de planta de mil folhas (Achillea millefolium L.), podem auxiliar no controle de doenças de pós-colheita da banana (Musa sp.), como a antracnose (Colletotrichum musae B. & M.A.C.). O objetivo deste trabalho foi avaliar a inibição de crescimento do fungo por frações dos extratos de distintas partes da planta em diferentes meses de colheita. O material colhido foi separado, secado e triturado, realizando-se a extração etanólica pela técnica de maceração. Após a obtenção do extrato, este foi seco, dissolvido em Dimetilsulfóxido e vertido em meio BDA fundente. Os tratamentos foram feitos em triplicata, sendo avaliado o crescimento radial do fungo após 5 dias em BOD (25°C). Ocorreu a redução de crescimento do fungo, quando comparadas com a testemunha, obtendo os melhores resultados nas frações mais polares e, as partes mais ativas foram as flores. A constância da atividade, observada nas diferentes partes da planta, é um indicativo do potencial do extrato da planta no controle da antracnose da banana.
Abstract. The cultivar of hybrid grape Isabel (Vitis vinifera × Vitis labrusca) is one of the main raw materials for table wine preparation in Brazil. It is be very adapted to the environmental conditions, has a high productivity capacity and low susceptibility to major fungal diseases that attack the vine. Wines made from grapes of the Vitis labrusca species and hybrids have the preference of the majority of Brazilian consumers and a considerable market. Although imparts "foxiness" for wine and therefore receive many objections of winemakers, this wine is gaining the characteristics of each region where it is produced. This study aimed to characterize the wines produced with the cultivar Isabel four states of Brazil. The experimental design was in split plots and plots were the states (ES, PE, RS and MG) and the subplots were the vintages (2014)(2015), the treatments consisted of 3 repetitions each. The variables analyzed were: alcohol ( • GL) and total volatile acidity (g L −1 ), dry extract (g L −1 ), free and total SO 2 , color index, the tone (420 nm + 520 nm), polyphenols, anthocyanins content (mg L −1 ), phenolic compounds (mg L −1 ) and organic acids. The state of MG vintages 2014 and 2015, received the highest averages in the most of the variables analyzed.
The objective of this work was to obtain regression equations and to indicate the most appropriate from different mathematical models for the estimation of the leaf area of Allspice (Pimenta dioica) by non - destructive method. 500 leaves of plants located in the municipality of São Mateus, North of Espírito Santo State, Brazil, were collected, 400 of which were used to adjust the equations and 100 for validation. The length (L) along the main midrib, the maximum width (W), the product of the length with the width (LW) and the observed leaf area (OLA) were measured from all leaves. We fitted models of linear equations of first degree, quadratic and power, where OLA was the dependent variable in function of L, W and LW. From the 100 sheets intended for validation, and using the adjusted equations for each mathematical model, the estimated leaf area (ELA) was obtained. Subsequently, a simple linear regression was fitted for each model of the proposed equation in which ELA was the dependent variable and OLA the independent variable. The mean absolute error (MAE), the root mean square error (RMSE) and Willmott's index d also determined. The best fit had as selection criterion the non-significance of the comparative means of ELA and OLA, MAE and RMSE values closer to zero and value of the coefficient of determination coefficient (R2) close to one. Thus, the power model (ELA = 0.7605(LW)0.9926, R2 = 0.9764, MAE = 1.0066, RMSE = 1.7759 and d = 0.9950) based on the product of length and width (LW) is the most appropriate for estimating the leaf area of Pimenta dioica.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
customersupport@researchsolutions.com
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.