This study aimed to evaluate the taro (Colocasia esculenta), var. São Bento, in response to different irrigation strategies. The experiment was carried out at Ifes campus Santa Teresa, Brazil, at an altitude of 130 meters above sea level, using a randomized block design (RBD) with five treatments for the water availability factor of culture (f factor) equivalent to 0.1; 0.2; 0.3; 0.4 and 0.5, and four replications. Meteorological data were used to estimate the crop water demand, performing daily water balance using spreadsheets. We evaluated the applied water depth, the yield of commercial cormels and the water use efficiency by taro, due to the f factor. The results were submitted to analysis of variance and regressions. Increasing the f factor provided a reduction of applied irrigation depths. Lighter and frequent irrigations improved the development and yield of taro and can be recommended for its management.

The value of coffee presents a significant increase influenced by the improvement of the beans quality, so that a coffee made by beans with an inferior quality has a lower acceptance in the market and a reduction in therms of commercialization value. The different time of fermentation of the coffee in water can give rise to different beverage and physiological quality of its seeds, and may interfere in its commercialization value and in the production of seedlings in nurseries. The target of this study was to identify the best time of fermentation of the beans and seeds of Arabic coffee in the region of Mutum-MG, aiming to obtain a better quality of the drink and a better physiological quality of the seeds. The experimental design was completely randomized with seven treatments, 0, 6, 12, 18, 24, 30 and 36 hours of fermentation in water. Four replicates per treatment were used. Each repetition consisted in ten liters of coffee. The samples were submitted to a drying process in covered suspended terrarium until reaching 12% moisture. The evaluations consisted in the realization of these sensorial analysis (AS); % water content (%U); electrical conductivity (EC); first germination count (FCG); percentage of germination (%G); total fresh mass (TFM); total dry mass (TDM) and radicle length (RL). The 18 hours fermentation time provided a better quality of coffee drink obtaining a score of 84 points and also resulted in a higher physiological quality of the seeds. Excess fermentation impaired the quality of the drink and physiological quality.

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PRODUÇÃO DE MILHO ESTIMADA PELO SOFTWARE AQUACROP E OBTIDA PELA CULTURA SOB DIFERENTES LÂMINAS DE IRRIGAÇÃO     NATÁLIA GRAMELISCH SILVESTRE1; GUSTAVO HADDAD SOUZA VIEIRA2; THIAGO LOPES ROSADO3; CARLOS MAGNO MULINARIO POLONI4; GUILHERME PETERLE5 E MARCELO RODRIGO KRAUSE6   1IFES campus Santa Teresa, Rod. ES 080, km 93, 29.660-000, São João de Petrópolis, Santa Teresa, Espírito Santo, Brasil, e-mail:natygramelisch@gmail.com 2IFES campus Santa Teresa, Rod. ES 080, km 93, 29.660-000, São João de Petrópolis, Santa Teresa, Espírito Santo, Brasil, e-mail: ghsvieira@gmail.com 3IFES campus Santa Teresa, Rod. ES 080, km 93, 29.660-000, São João de Petrópolis, Santa Teresa, Espírito Santo, Brasil, e-mail: thiagolr@ifes.edu.br 4IFES campus Santa Teresa, Rod. ES 080, km 93, 29.660-000, São João de Petrópolis, Santa Teresa, Espírito Santo, Brasil, e-mail: poloniuf@gmail.com 5IFES campus Santa Teresa, Rod. ES 080, km 93, 29.660-000, São João de Petrópolis, Santa Teresa, Espírito Santo, Brasil, e-mail: guilhermepeterle15@gmail.com 6IFES campus Santa Teresa, Rod. ES 080, km 93, 29.660-000, São João de Petrópolis, Santa Teresa, Espírito Santo, Brasil, e-mail: agro.krause@gmail.com     1 RESUMO   Objetivou-se neste trabalho avaliar a correlação da produção de biomassa de milho estimada pelo software AquaCrop e a obtida pela cultura implantada sob diferentes lâminas de irrigação. O experimento foi realizado em delineamento inteiramente casualizado, composto por 5 Tratamentos (T) de lâminas de irrigação, baseadas na demanda de evapotranspiração, sendo, T1 – 25%, T2 – 50%, T3 – 75%, T4 – 100%, T5 – 125% da evapotranspiração da cultura (ETc). As simulações foram realizadas pelo software AquaCrop, tendo como variáveis clima, solo, cultura e irrigação. Para o ciclo I, as variáveis altura de planta, produtividade e biomassa fresca total atingiram os maiores valores quando receberam as maiores lâminas de irrigação, para o ciclo II, estas variáveis apresentaram comportamento quadrático. A relação de resultados observados/simulados para biomassa fresca total, mostrou que os valores estimados pelo Aquacrop subestimaram os observados em campo durante os dois ciclos da cultura. Enquanto que os valores de biomassa seca para o ciclo I, em sua maioria, também foram subestimados, para o ciclo II, o T3 e o T4 apresentaram correspondência ideal de 1:1. O aplicativo Aquacrop se mostrou confiável para estimativa de milho nas condições deste estudo, sendo uma interessante ferramenta para fins de predição de produção e desenvolvimento da cultura.   Palavra-chave: modelagem agrícola, biomassa, estimativa, silagem.     SILVESTRE, N. G.; VIEIRA, G. H. S.; ROSADO, T. L.; POLONI, C. M. M.; PETERLE, G.; KRAUSE, M. R. MAIZE PRODUCTION ESTIMATED BY AQUACROP SOFTWARE AND OBTAINED BY CROP UNDER DIFFERENT IRRIGATION DEPTHS     2 ABSTRACT   The objective of this study was to evaluate the correlation between corn biomass production estimated by AquaCrop software and that obtained by the crop implanted under different irrigation depths. The experiment was carried out in a completely randomized design consisting of 5 treatments (T) of irrigation depths, based on evapotranspiration demand, T1 - 25%, T2 - 50%, T3 - 75%, T4 - 100%, T5. - 125% of crop evapotranspiration (ETc). The simulations were performed by AquaCrop software, having as variables climate, soil, crop and irrigation. For cycle I, variables plant height, yield and total fresh biomass reached the highest values ​​when they received the largest irrigation depths. For cycle II, these variables presented quadratic behavior. The relationship of observed / simulated results to total fresh biomass showed that the values ​​estimated by Aquacrop underestimated those observed in the field during the two crop cycles. While dry biomass values ​​for most of cycle I were also underestimated, for cycle II, T3 and T4 presented an ideal 1: 1 correspondence. The Aquacrop application proved reliable for corn estimation under the conditions of this study, being an interesting tool for crop production and development prediction purposes.   Keywords: agricultural modeling, biomass, estimation, silage