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• The purple coneflower’s (Echinacea purpurea L.) nutrient requirements investigation in a small plot trial

  95-99

  Éva Judit Lelesz

  Views:

  166

  During our research, we investigated the purple coneflower's (Echinacea purpurea L.) drug yield and drying loss change with different fertilization settings in a small-plot trial. We measured the raw and dry drug yield, which we harvested in 2016 and in 2017, as well as the drying loss of these yields. Harvest and all other works were performed manually. We dried the harvested herba under prenumbra for three weeks. Based on the obtained data, every fertilization settings’ yield was less than that of the control plots in 2016. We measured the highest drying loss in relation to the N60P80K120 supply in this year. In 2017, we measured the highest yield data in the N75P100K150 fertilization setting.

  We made single-factor variance analysis to investigate the connection between the quantity of the raw, the dried herba, the drying loss and the different nutrient settings

• The changes of the purple coneflower’s (Echinacea purpurea L.) herb and radix drug yield under different fertilization conditions

  79-83

  Judit Éva Lelesz

  József Csajbók

  Views:

  210

  In this research, the purple coneflower’s (Echinacea purpurea L.) nutrient requirement was examined under different fertilization conditions in a small plot experiment. We measured the medicinal plant’s raw and dry herb and root drug mass and drying loss under different fertilization settings and meteorological factors.

  From the drug’s raw and dry mass perspective, based on the results, in our opinion, the control setting exceeded all nutrient settings’ results in 2016. In 2017 and 2018, the N₇₅P₁₀₀K₁₅₀ nutrient setting has the biggest herb yield. As for the root yield, it was also the N₇₅P₁₀₀K₁₅₀ setting which produced the biggest yield.

  The Pearson's correlation test was performed to investigate the connection between the quantity of the raw, the dried herbs, the different nutrient settings and meteorological factors.