Showing 2 results for Sengul
M. H. Demirel, Z. Sengul, M. F. Baran, O. Gokdogan,
Volume 26, Issue 2 (3-2024)
Abstract
This study aimed to investigate the effects of inputs such as pesticides, fertilizers, seeds, labor and machine use on wheat yield. The data used in the study were obtained from 177 wheat producers in Diyarbakir Province through a questionnaire, and Artificial Neural Networks (ANN) were used in the analysis of the data. According to the results, the average wheat yield is 5482.03 kg ha-1, and 294.75 kg of seeds, 550.73 kg of fertilizer, 3.59 hours of machinery, 5.37 hours of labor and 2662.43 cc of pesticides were used per hectare for wheat production. According to the results of the ANN analysis, the relative importance of inputs affecting wheat yield was quantified, with the use of pesticides and fertilizer having the most significant impacts. Specifically, the sensitivity coefficients for pesticide use and fertilizer use were found to be 0.23 and 0.14, respectively. These coefficients represent the relative change in wheat yield per unit change in the input parameters.
Emine Sonmez, Meral Kekecoglu, Arif Bozdeveci, Sengul Alpay Karaoglu,
Volume 27, Issue 1 (12-2025)
Abstract
Worldwide, one of the most damaging diseases in beekeeping is American Foulbrood (AFB). The causative agent of the disease is Paenibacillus larvae, which can remain in spore form in the environment for decades and does not lose its virulence. In the management of this disease, it is inevitable to find an alternative method to the use of antibiotics and burning the hives. In this study, after determining the Total Phenolic (TPC) and Total Flavonoid Contents (TFC) of seven different Anatolian honey bee products (bee venom, bee bread, pollen, royal jelly, propolis, queen bee larvae, drone brood larvae), in vitro antimicrobial activities of these products against two different P. larvae strains were tested. As a result of Folin-Ciocalteu and AlCl3 colorimetric methods, there were significant differences between the samples, and the highest content values were obtained from the propolis samples. The antimicrobial activity results showed that, P. larvae strains were susceptible to all bee products, except queen bee larvae and drone brood larvae. The most significant inhibition was obtained from Anatolian bee venom with the lowest MIC dose 6.25 µg mL-1, Bacterial strains showed susceptibility to Anatolian beebread with an effective dose of 7.81 µg mL-1 following bee venom. This study is an important first step in identifying new active compounds for the use of in-hive natural products in the development of new preventive treatments against AFB disease, alternative to conventional antibiotic treatments.
