Investigation of Some Hormones in Polinariums of Ophrys mammosa Desf. subsp. mammosa (Orchidaceae)

Year 2023, Volume: 10 Issue: 1, 173 - 180, 31.05.2023

Mehmet Aybeke

https://doi.org/10.35193/bseufbd.1202762

Abstract

Pollen in orchids is in the form of clusters called polynarium and no hormonal studies have been found in orchid polynariums. Therefore, the aim of the study is to determine the hormones in orchid polynariums. For this purpose, Ophrys mammosa subsp mammosa polynariums collected from the field were brought to the laboratory. In the study, Salicylic acid, Abscisic acid, Jasmonic acid, Gibberellic acid and Indole-3-acetic acid hormones were screened in the samples. The samples treated with non-hydrolyzed herbal extraction were taken into the study in LC–MS/MS device. As a result of the LC–MS/MS device study, Salicylic acid was found to be 2.6736 ng/gr, Abscisic acid 65.6926 ng/gr, Jasmonic acid 12.2367 ng/gr, Gibberellic acid and Indole-3-Acetic acid were not detected. The findings are discussed in the light of current literature and it is believed that they will contribute to future orchid reproductive biology studies. The study is a first in this respect.

Keywords

Orchid, Pollen, Hormone, Salicylic Acid, Jasmonic Acid

Ophrys mammosa Desf. subsp. mammosa (Orchidaceae) Polinaryumlarında Bazı Hormonların Araştırılması

Abstract

Orkidelerde polenler polinaryum denen kümeler şeklindedir ve orkide polinaryumlarında hormonal hiçbir çalışmaya rastlanmamıştır. Bu nedenle çalışmanın amacı orkide polinaryumlarındaki hormonların tespit edilmesidir. Bu amaçla araziden toplanan Ophrys mammosa subsp mammosa polinaryumları, laboratuvara getirilmiştir. Çalışmada Salisilik asit(SA), Absisik asit(ABA), Jasmonik asit(JA), Gibberellik asit(GA3) ve Indol-3-asetik(IAA)asit hormonları numunelerde taranmıştır. Hidrolize olmayan bitkisel ekstraksyon ile muamele edilen numuneler LC–MS/MS cihazında çalışmaya alınmıştır. LC–MS/MS cihaz çalışması sonucunda Salisilik asit 2,6736 ng/gr, Absisik asit 65,6926 ng/gr, Jasmonik asit 12,2367 ng/gr bulunmuş, Gibberellik asit ve Indol-3-Asetik asit tespit edilmemiştir. Tespit edilen bulgular, güncel literatürler ışığında tartışılmıştır ve ileride yapılacak orkide üreme biyolojisi çalışmalarına katkıda bulunacağına inanılmaktadır. Çalışma bu yönüyle bir ilk olma niteliğindedir.

Keywords

Orkide, Polen, Hormon, Salisilik Asit, Jasmonik Asit

References

• Rengifo, J., Aller, J. M., Bueno, A., Viola, J., & Restrepo, J. (2012). Parameter Estimation Method for Induction Machines Using the Instantaneous Impedance During a Dynamic Start-Up. VI. Andean Region International Conference. 7-9 November, Cuenca, Ecuador, 11-14.
• Barambones, O., & Alkorta, P. (2011). A Robust Vector Control for Induction Motor Drives with an Adaptive Sliding-Mode Control Law. Journal of the Franklin Institute, 348(2), 300-314.
• Adamczyk, M., & Orlowska-Kowalska, T. (2022). Postfault Direct Field-Oriented Control of Induction Motor Drive Using Adaptive Virtual Current Sensor. IEEE Transactions on Industrial Electronics, 69(4), 3418-3427.
• Elmahfoud, M., Bossoufi, B., Taoussi, M., Ouanjli, N. E., & Derouich, A. (2019). Rotor Field Oriented Control of Doubly Fed Induction Motor. 5th International Conference on Optimization and Applications (ICOA). 25-26 April, 1-6.
• Mondal, A., Sarkar, P., & Hazra, A. (2020). A Unified Approach for PI Controller Design in Delta Domain for Indirect Field-Oriented Control of Induction Motor Drive. Journal of Engineering Research, 8(3), 118-134.
• Gamazo-Real, J. C., Vázquez-Sánchez, E., & Gómez-Gil, J. (2010). Position and Speed Control of Brushless DC Motors Using Sensorless Techniques and Application Trends. Sensors, 10(7), 6901-6947.
• Mishra, A., & Choudhary, P. (2012). Speed Control of an Induction Motor by Using Indirect Vector Control Method. International Journal of Emerging Technology and Advanced Engineering, 2(12), 144-150.
• Robyns, B., Francois, B., Degobert, P., & Hautier, J. P. (2012). Vector Control of Induction MachinesDesensitisation and Optimisation Through Fuzzy Logic. Springer, London, 75-121.
• Peretti, L., Zigliotto, M. (2012). Automatic Procedure for Induction Motor Parameter Estimation at Standstill. IET Electric Power Applications, 6(4), 214-224.
• Ando, K., Takahashi, S., Ieda, J., Kurebayashi, H., Trypiniotis, T., Barnes, C. H. W., Maekawa, S., & Saitoh, E. (2011). Electrically Tunable Spin Injector Free from the Impedance Mismatch Problem. Nature Materials, 10(9), 655-659.
• Subasri, R., Meenakumari, R., Panchal, H., Suresh, M., Priya, V., Ashokkumar, R., & Sadasivuni, K. K. (2022). Comparison of BPN, RBFN and Wavelet Neural Network in Induction Motor Modelling for Speed Estimation. International Journal of Ambient Energy, 43(1), 3246-3251.
• Saad, K., Abdellah, K., Ahmed, H., & Iqbal, A. (2019). Investigation on SVM-Backstepping Sensorless Control of Five-Phase Open-End Winding Induction Motor Based on Model Reference Adaptive System and Parameter Estimation. Engineering Science and Technology, An International Journal, 22(4), 1013-1026.
• Soliman, M. A., Hasanien, H. M., Al-Durra, A., & Alsaidan, I. (2020). A Novel Adaptive Control Method for Performance Enhancement of Grid-Connected Variable-Speed Wind Generators. IEEE Access, 8, 82617-82629.
• Cartis, C., & Roberts, L. (2019). A Derivative-Free Gauss–Newton Method. Mathematical Programming Computation, 11(4), 631-674.
• Burgers, K. C. (2014). The Non-linear Resonant Pole Soft Switching Inverter with Induction Machine Load. University of Johannesburg, South Africa, 49-98.
• Tilli, A., & Conficoni, C. (2014). Induction Motor Sensorless Observer Aligned with Rotor Flux Derivative. IEEE Conference on Control Applications (CCA). 08-10 October, Juan Les Antibes, France, 1722-1728.
• Pamuk, N. (2018). Numerical Method for Calculations of the Multi-Dielectric Fields Based on Flux Density in High Voltage Power Transformer Apparatus. Balkan Journal of Electrical and Computer Engineering, 8(4), 342-347.
• Tang, J., Yang, Y., Blaabjerg, F., Chen, J., Diao, L., & Liu, Z. (2018). Parameter Identification of Inverter-Fed Induction Motors: A Review. Energies, 11(9), 2194.
• Teja, A. R., Verma, V., & Chakraborty, C. (2015). A New Formulation of Reactive-Power-Based Model Reference Adaptive System for Sensorless Induction Motor Drive. IEEE Transactions on Industrial Electronics, 62(11), 6797-6808.
• Tohidi, S. (2016). Analysis and Simplified Modelling of Brushless Doubly‐Fed Induction Machine in Synchronous Mode of Operation. IET Electric Power Applications, 10(2), 110-116.
• Kim, J. G. (2022). Soft Start Analysis of Induction Motor Using Current Phase Angle. Journal of Electrical Engineering & Technology, 17(2), 1475-1480.