UDK 631.53.01:633.11
DOI: 10.15507/2658-4123.029.201903.443-455
Method of Determining Seed Germination by Using Membrane Potential of Wheat Seeds
Nadezhda N. Barysheva
Associate Professor of Chair of Information Systems in Economy, Polzunov Altai State Technical University (46 Lenina, Barnaul 656038, Russia), Ph.D. (Engineering), ResearcherID: C-9650-2019, ORCID: https://orcid.org/0000-0003-1338-9740, This email address is being protected from spambots. You need JavaScript enabled to view it.
Sergey P. Pronin
Head of Chair of Information Technology, Polzunov Altai State Technical University, (46 Lenina, Barnaul 656038, Russia), D.Sc. (Engineering), ORCID: https://orcid.org/0000-0002-0202-9232, This email address is being protected from spambots. You need JavaScript enabled to view it.
Introduction. The germination of wheat seeds is an important indicator of their quality, used to calculate and adjust the seeding rate. It is necessary to take into account germination changes at the storage stage. The solution of this problem will be development of a method that will allow to determinate germination at any technological stage (at the stage of harvesting, storage, seeding).The aim of the article is to study the dependence of membrane potential on grain quality, to develop a method for determining the germination of wheat seeds based on their membrane potentials.
Materials and Methods. The authors' review of research papers about methods of assessing the wheat seeds quality indicates the need for the development of highly sensitive methods of the germination test, which allow one to ensure the speed of measurement and obtain more accurate results for further use. An approach was developed on the basis of the review, which allows for solving the problem using the method based on the study of membrane potentials of wheat seeds.
Results. In this article, the study of the dependence of wheat seeds membrane potential from their germination was conducted. The results of experiments confirmed that the value of the potential could be used as quality assessment parameter. The requirements and optimal conditions for conducting the experiment were determined.
Discussion and Conclusion. The dependence of the wheat seeds membrane potential on their germination was established and the method for determining wheat seeds germination was developed. The implementation of this method will allow agricultural enterprises and farms to carry out the rapid assessment of wheat seeds germination at any technological stage (at the stage of harvesting, storage, seeding).
Keywords: wheat seed, method, quality assessment, germination, membrane potential
For citation: Barysheva N.N., Pronin S.P. Method of Determining Seed Germination by Using Membrane Potential of Wheat Seeds. Inzhenernyye tekhnologii i sistemy = Engineering Technologies and Systems. 2019; 29(3):443-455. DOI: http://doi.org/10.15507/2658-4123.029.201903.443-455
Contribution of the authors: N. N. Barysheva – reviewing and analyzing the literature, development of method, formulation of conclusions, experiments, writing the draft; S. P. Pronin – conducting theoretical research, formulation of the basic research concepts, final editing.
All authors have read and approved the final manuscript.
Received 25.02.2019; revised 02.04.2019; published online 30.09.2019
REFERENCES
1. Bewley J.D., Black M. Physiology and Biochemistry of Seeds in Relation to Germination. Springer. 1982; 2:3-9. (In Eng.) DOI: http://doi.org/10.1007/978-3-642-68643-6
2. Zhang T., Wei W., Zhao B., et al. A Reliable Methodology for Determining Seed Viability by Using Hyperspectral Data from Two Sides of Wheat Seeds. Sensors. 2018; 18(3):813. (In Eng.) DOI: http://doi.org/10.3390/s18030813
3. Yang L., Wen B. Seed Quality. In: Encyclopedia of Applied Plant Sciences. 2nd ed. Vol 1. Amsterdam: Elsevier; 2017. p. 553-563. (In Eng.) DOI: http://doi.org/10.1016/B978-0-12-394807-6.00205-7
4. Colville L. Seed Storage. In: Encyclopedia of Applied Plant Sciences. 2nd ed. Vol 1. Amsterdam: Elsevier; 2017. p. 335-339. (In Eng.) DOI: http://doi.org/10.1016/B978-0-12-394807-6.00080-0
5. Okon E., Etta H.E., Zuba V. Influence of Furolan-Treated Seeds on Sowing Characteristics of Winter Wheat Cultivars. Russian Agricultural Sciences. 2016; 42(1):1-4. (In Eng.) DOI: http://doi.org/10.3103/ S1068367416010250
6. Hosomi S.T., Custodio C.C., Seaton P.T., et al. Improved Assessment of Viability and Germination of Cattleya (Orchidaceae) Seeds Following Storage. In Vitro Cellular and Developmental Biology-Plant. 2012; 48:127-136. (In Eng.) DOI: http://doi.org/10.1007/s11627-011-9404-1
7. Santos M.A.O., Novembre A.D.L.C., Marcos-Filho J. Tetrazolium Test to Assess Viability and Vigour of Tomato Seeds. Seed Science and Technology. 2007; 35(1):213-223. (In Eng.) DOI: http:// doi.org/10.15258/sst.2007.35.1.19
8. Merritt D.J., Martyn A.J., Ainsley P., et al. A Continental-Scale Study of Seed Lifespan in Experimental Storage Examining Seed, Plant, and Environmental Traits Associated with Longevity. Biodiversity and Conservation. 2014; 23(5):1081-1104. (In Eng.) DOI: http://doi.org/10.1007/s10531-014-0641-6
9. Downes K.S. Plant Germplasm Conservation in Australia: Strategies and Guidelines for Developing, Managing and Utilizing Ex Situ Collections. Austral Ecology. 2011; 36(7):42-43. (In Eng.) DOI: http://doi.org/10.1111/j.1442-9993.2011.02274.x
10. Anisur R., Byoung-Kwan Ch. Assessment of Seed Quality Using Non-Destructive Measurement Techniques: A Review. Seed Science Research. 2016; 26(4):285-305. (In Eng.) DOI: http://doi.org/10.1017/ S0960258516000234
11. Turnerd Sh.R., Nansen Ch., Zhao G., et al. Using Hyperspectral Imaging to Determine Germination of Native Australian Plant Seeds. Journal of Photochemistry and Photobiology B: Biology. 2015; 145:19-24. (In Eng.) DOI: http://doi.org/10.1016/j.jphotobiol.2015.02.015
12. Jha Sh.N., Narsaiah K., Basediya A.L., et al. Measurement Techniques and Application of Electrical Properties for Nondestructive Quality Evaluation of Foods – a Review. Journal of Food Science and Technology. 2011; 48(4):387-411. (In Eng.) DOI: http://doi.org/10.1007/s13197-011-0263-x
13. Sibaoka T. Physiology of Rapid Movements in Higher Plants. Annual Review of Plant Physiology. 1969; 20:165-184. Available at: http://www.annualreviews.org/doi/abs/10.1146/annurev.pp.20.060169.001121 (accessed 01.06.2019). (In Eng.)
14. Pickard B.G. Action Potentials in Higher Plants. Botanical Review. 1973; 39(2):172-201. Available at: http://www.jstor.org/stable/4353850?seq=1#page_scan_tab_contents (accessed 01.06.2019). (In Eng.)
15. Fromm J., Lautner S. Electrical Signals and Their Physiological Significance in Plants. Plant Cell Environ. 2007; 30(3):249-257. (In Eng.) DOI: http://doi.org/10.1111/j.1365-3040.2006.01614.x
16. Pyatygin S.S., Opritov V.A., Vodeneev V.A. Signaling Role of Action Potential in Higher Plants. Russian Journal of Plant Physiology. 2008; 55(2):285-291. (In Eng.) DOI: http://doi.org/10.1134/ S1021443708020179
17. Egli D.B. Species Differences in Seed Growth Characteristics. Field Crops Research. 1981; 4:1-12. (In Eng.) DOI: http://doi.org/10.1016/0378-4290(81)90049-6
18. Baskin C.C., Baskin J.M. Seeds: Ecology, Biogeography and Evolution of Dormancy and Germination. Amsterdam: Elsevier; 2001. 666 p. Available at: http://books.google.ru/books/about/Seeds. html?id=uGJL_Ys6wlQC&redir_esc=y (accessed 01.06.2019). (In Eng.)
19. Baranowski P., Mazurek W., Pastuszka-Wozniak J. Supervised Classification of Bruised Apples with Respect to the Time after Bruising on the Basis of Hyperspectral Imaging Data. Postharvest Biology and Technology. 2013; 86:249-258. (In Eng.) DOI: http://doi.org/10.1016/j.postharvbio.2013.07.005
20. Kamruzzaman M., ElMasry G., Sun D.-W., Allen P. Non-Destructive Assessment of Instrumental and Sensory Tenderness of Lamb Meat Using Nir Hyperspectral Imaging. Food Chemistry. 2013; 141(1):389-396. (In Eng.) DOI: http://doi.org/10.1016/j.foodchem.2013.02.094
21. Liu D., Sun D.-W., Zeng X.-A. Recent Advances in Wavelength Selection Techniques for Hyperspectral Image Processing in the Food Industry. Food and Bioprocess Technology. 2014; 7(2):307-323. (In Eng.) DOI: http://doi.org/10.1007/s11947-013-1193-6
22. Chen P., Sun Z. A Review of Non-Destructive Methods for Quality Evaluation and Sorting of Agricultural Products. Journal of Agricultural Engineering Research. 1991; 49:85-98. (In Eng.) DOI: http://doi.org/10.1016/0021-8634(91)80030-I
23. Vodenev V.A., Katicheva L.A., Sukhov V.C. Electrical Signals in Higher Plants: The Mechanisms of Generation and Propagation. Biofizika = Biophysics. 2016; (61):598-606. Available at: https://www.eposlink. com/ru/catalog/library/elibrary/book/biofizika-2260/publication/113936/ (accessed 01.06.2019). (In Russ.)
24.Pyatygin S.S., Opritov V.A., Vodeneev V.A. Signaling Role of Action Potential in Higher Plants. Fiziologiya rasteniy = Plant Physiology. 2008; 55(2):312-319. Available at: http://www.rusplant.ru/index. php?page=Posts.ListPost&number=2&year=2008&cat=4&PHPSESSID=lcowrsvifjo(accessed 01.06.2019). (In Russ.)
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