During our research we investigated the marigold's (Calendula officinalis L.) nutrient requirements with different fertilization setting in small-plot trial. We measured SPME (Solid phase microextraction) and GC-MS (gas chromatograph-mass spectrometer) we examined the effects of the different fertilization settings for the herb's main active in
...gredients of essential oil's percentage.
Based on the results, it was concluded, the essential oil agents' percentage breakdowns significantly depending on the cropping technologies. Besides that it is possible, based on Pearson's correlation test the marigold essential oil agents relationship can also be a major factor.
During our research we investigated the marigold's (Calendula officinalis L.) nutrient requirements with different fertilization treatments in small-plot trial. We measured the harvested marigold's drug's raw and dry weight on a weekly basis from July 6th until August 17th. We were using SPME (Solid phase microextraction)
...and GC-MS (gas chromatograph-mass spectrometer) to examined the effects of the different fertilization settings for the herb's main active ingredients of essential oil's percentage.
It was concluded, based on the results, the N30P40K60 fertilization setting is ideal in terms of the quantity of the marigold drug. Both the raw and the dry weights' measurements of the case, this fertilization setting have the most important effect on the herb's yield. The analysis of variance didn't show significant differences between the plots with different fertilization settings. We discovered relationship between the drying loss and the increasing quantities of nutrients. We think it may be possible the Alpha-thujon's and Alpha-cadinol's production and the drying loss's data are connected, which appear to confirm the N15P20K30 treatment's data.
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
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 dru
...g’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.