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Estimation of the vine-shoot yield in the Gyöngyös district
21-26Views:136Every year, a significant amount of vineyard prunings is generated in Hungary. Instead of utilization them, it is burned directly on the field in spite of the limitations of legalization highly pollute the environment in recent decades. The vineyard pruning itself or with other by-products from pomology and forestry can be significant amount of fuel source. However, before the planning to utilization the essential task is to estimate the potential. This study examine that how many vineyard is generated in the micro-region of Gyöngyös in every year on appointed vineyard.
In order to vine-branch potential calculate more accurate data was necessary so the products had to be determined for all plant. Thus, the biomass resource and the utilization become plannable. As the result of the experiment we can estimate that 1,5 t/ha vineyard pruning are generated. It means more than 9 thousand tons pruning in the micro-region of Gyöngyös. This amount can be convert into fuel source more than 150 thousand GJ heating value.
The results evince that the vineyard pruning is important fuel source in every year in the micro-region of Gyöngyös. Further usage is suggested for other regions in other size.
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Biomass production estimation of processing tomato using AquaCrop under different irrigation treatments
131-136Views:215The wiser usage of irrigation water is inevitable in the future. Irrigation has very high input cost; therefore, farmers must carry out irrigation with care. Also, the effect of irrigation on crops has a big role in decision making. Modeling provides a possibility to evaluate this effect. AquaCrop, as a crop production simulation model has great potential in this field. The accuracy of tomato biomass yield prediction of the model was tested in this research. For collecting the necessary data, a field experiment was conducted at Szarvas on processing tomato with different water supplies, such as 100% (I100), 75% (I75), 50% (I50) of potential evapotranspiration and a control with basic water supply (C). The relation of the simulation and actual biomass yields was evaluated during the season. Very good correlation was found between the modelled and the actually harvested data. The data for the control and I100 treatments showed higher correlation than the I75 and I50. The relationship for all of the data was moderately strong. Miscalculations occur mostly when the dry biomass yield reaches
7 t ha-1. The accuracy of the model was evaluated with the use of mean absolute error (MAE) and root mean squared error (RMSE) values. The least error was found in the C treatment, which means 0.34 MAE and 0.45 t ha-1 RMSE. The simulation resulted in higher errors in the I75 and I50 treatments.