Comparison and optimization of performance of cold plasma systems on chickpea seed germination indices

Document Type : Original Article

Authors

1 PhD student Of Department of Biosystem, Faculty of Agriculture, BuAli Sina University, Hamedan

2 Accociate Professor Of Department of Biosystem, Faculty of Agriculture, BuAli Sina University, Hamedan, Iran

Abstract

One of the technologies used to improve seed germination is use of cold plasma. Cold plasma is created at atmospheric pressure or vacuum by using electrical discharge in low pressure gas. In order to investigate the effect of two cold plasma production systems on improving the germination indices of chickpea seeds from Adel, Mansour and Azad cultivars in three plasma exposure times of 0, 30 and 60 seconds, they were studied in a completely randomized factorial design. The results showed that cold plasma treatment by corona method at 30 seconds exposure caused a significant increase in the root length index compared to the control treatment in Adel and Mansur varieties. Also, cold plasma treatment by corona method in 30 seconds of exposure caused improvement in seed vigor in Adel and Mansour varieties, respectively, by 35% and 41% compared to the control and root length in 30 seconds corona treatment in Adel Mansur and Azad varieties, respectively increased by 38%, 42% and 2% compared to the control. On the other hand, in the barrier method, only in the root length index, in Azad variety and in exposure to cold plasma for 60 seconds, 25% increase was observed compared to the control. Therefore a significant positive effect on increasing seed vigor and root length of chickpea varieties tested in cold plasma treatment by corona method compared to the control, while the barrier dielectric method has more uniformity in the treatments than corona method.

Keywords

References

Abdulbaki, A., and J. D. Anderson 1973. Physiological and biological determination of seeds. Pp 283-310. In T.T. Kozlowskin (Ed). Seed biology. Academic Press, New York.
Butscher, D., H. Van Loon, A. Waskow, P.R. von Rohr, and M. Schuppler. 2016. Plasma inactivation of microorganisms on sprout seeds in a dielectric barrier discharge. Food Sci. 238: 222-232.
Lindgren. 2016. Survey meter HI model user manual.
Dobrin, D., M. Magureanu, N.B. Mandache, and M.D. Ionita. 2015. The effect of non-thermal plasma treatment on wheat germination and early growth. Food Sci. 29: 255-260.
International Seed Testing Association (ISTA). 2003. Handbook for seedling evaluation (3rd ed.). Published by ISTA, Switzerland.
Kogelschatz, U. 2003. Dielectric-barrier discharges: their history, discharge physics, and industrial applications. Plasma Chem Plasma P. 23(1): 1-46.
Misra, N. N., O. Schlüter, and P.J. Cullen. 2016. Cold plasma in food and agriculture: fundamentals and applications. Elsevier, Netherlands.
Puligundla, P., J.W. Kim, and C. Mok. 2017. Effect of corona discharge plasma jet treatment on decontamination and sprouting of rapeseed (Brassica napus L.) seeds. Food Sci. 71: 376-382.
Raveneau, M. P., F. Coste, P. Moreau-Valancogne, I. Lejeune-Henaut, and C. Durr. 2011. Pea and bean germination and seedling responses to temperature and water potential. Seed Sci. 21(3): 205.
Sadhu, S., R. Thirumdas, R.R. Deshmukh, and U.S. Annapure. 2017. Influence of cold plasma on the enzymatic activity in germinating mung beans (Vigna radiate). Lwt. 78: 97-104.
Šerá, B., I. Gajdová, M. Černák, B. Gavril, E. Hnatiuc, D. Kováčik, V. Kříha, J. Sláma, M. Šerý, and P. Špatenka. 2012. How various plasma sources may affect seed germination and growth. Can. Agric. Eng. 1365-1370.
Shashikanthalu, S. P., L. Ramireddy, and M. Radhakrishnan. 2020. Stimulation of the germination and seedling growth of Cuminum cyminum L. seeds by cold plasma. J. Plasma Med. 18: 100259.
Socha, K. and M. Dorigo. 2008. Ant colony optimization for continuous domains. J. Math. Biosci. 185(3): 1155-1173.
Stolárik, T., M. Henselová, M. Martinka, O. Novák, A. Zahoranová, and M. Černák. 2015. Effect of low-temperature plasma on the structure of seeds, growth and metabolism of endogenous phytohormones in pea (Pisum sativum L.). Plasma Chem.  35(4): 659-676.
Zhang, H., B. Gu, J. Mu, P. Ruan, and D. Li. 2017. Wheat hardness prediction research based on NIR hyperspectral analysis combined with ant colony optimization algorithm. Sci. Rep. 174: 648-656.
Iranian Journal of Seed Science and Technology
Volume 11, Issue 2 - Serial Number 26
Summer 2022
September 2022
Pages 129-143

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