Evaluation of affinity in scion-rootstock grape combinations based on impedance value
DOI:
https://doi.org/10.31279/2949-4796-2026-16-2-97-108Keywords:
grapes, variety, rootstock, scion, graft, seedlings, impedance, affinityDownloads
Abstract
Introduction. One of the methodological approaches to assessing the graft union condition is the determining of electrical resistance (impedance) in grafted grape seedlings. The impedance of procambial tissues of the vine objectively reflects the growth and development characteristics of plants. A comprehensive study of scion-rootstock combinations of wine grape varieties grafted on the rootstocks of AZOS group is relevant, and allows the identification of the most effective combination ensuring a high yield of standard planting material, as well as facilitates the introduction of new phylloxera-resistant rootstocks into the mass production of grafted seedlings.
Aim. To study the possibility of using the impedance method in order to assess the affinity of grafted grape plants on AZOS group rootstocks.
Materials and methods. Over the period of 2023–2025, 12 scion-rootstock combinations of grapes were studied. Electrical resistance measurements were carried out using a digital multimeter M 838 before planting the rooted grafted cuttings after stratification, then 20 and 60 days after planting the grafts in the nursery, and during lifting the grafted seedlings.
Results. High survival and low impedance values were observed in the group of varieties grafted on Berlandieri × Riparia Kober 5BB and AZOS-4 rootstocks, which affected the yield of high-quality planting material. Analysis of variance showed that rootstock, scion and impedance have a statistically significant effect on the yield of standard grape seedlings. Correlation analysis revealed a statistically significant strong negative correlation between the yield of standard seedlings and impedance. A decrease in impedance is accompanied by an increase in the yield of standard seedlings, which confirms the presence of a significant inverse correlation between these indicators.
Conclusion. New knowledge has been obtained on the potential of using phylloxera-resistant rootstocks of AZOS group to produce grape planting material and application of the impedance method to assess the survival rate of grafted components.
References
Antonyan A.K., Radchevskiy P.P. The influence of rootstocks on the quality of grapes and wine: a review. Science and Education. 2024;7:2. (In Russ.) EDN XDMKQV.
Shi W., He W., Zhang Z., et al. Study on the resistance of ‘Cabernet Sauvignon' grapevine with different rootstocks to Colomerus vitis. Sustainability. 2022;14:15193. EDN: ZCXWIC
Zameta O.G., Ivanchenko V.I., Raikov A.V. Evaluation of grafting affinity of native grape varieties with regional rootstocks. Viticulture and Winemaking. 2023;52:36-39. (In Russ.) EDN PYUVFS.
Askerov E.S. Scientific foundations of affinity and productivity grafted grape culture. Problems of Development of the Regional AIC. 2022;3(51):24-28. (In Russ.) https://doi.org/10.52671/20790996_2022_3_24 EDN BMVZTO.
Pavlyuchenko N.G., Zimina N.I., Kolesnikova O.I., et al. Affinity of Golubok vine variety with main rootstocks. Bulletin of KrasSAU. 2021;10(175):74-79. ( In Russ.) https://doi.org/10.36718/1819-4036-2021-10-74-79 EDN GDKURI.
Botnar E.V. The coefficient of affinity and adaptation to assess the prospects privoynopodvoynyh technical combinations of grape varieties. Scientific works of the Southern branch of the National University of Life and Environmental Sciences of Ukraine "Crimean Agrotechnological University". Series: Agricultural Sciences. 2011;137:148-151. (In Russ.) EDN SCADAV.
Ivanchenko V.I., Ivanova M.I., Raikov A.V., et al. The effect of quality indicators of rootstock and scion vines on the compatibility of variety-rootstock combinations of grapes. Magarach. Viticulture and Winemaking. 2023;25(2):137-144. (IN Russ.) https://doi.org/10.34919/IM.2023.25.2.006 EDN UGAMXS.
Van Haeverbeke M., De Baets B., Stock M. Plant impedance spectroscopy: a review of modeling approaches and applications. Frontiers in Plant Science. 2023;14:1187573. https://doi.org/10.3389/fpls.2023.1187573
Astashev M. E., Konchekov E.M., Kolik L.V., et al. Electric impedance spectroscopy in trees condition analysis: theory and experiment. Sensors. 2022;21:8310. https://doi.org/10.3390/s22218310
Jócsák I., Végvári G., Vozáry E. Electrical impedance measurement on plants: a review with some insights to other fields. Theoretical and Experimental Plant Physiology. 2019;31:359–375. https://doi.org/10.1007/s40626-019-00152-y
Bar-On L., Garlando U., Sophocleous M., et al. Electrical modeling of in vivo impedance spectroscopy of Nicotiana tabacum Plants. Frontiers in Electronics. 2021;2:753145. https://doi.org/10.3389/felec.2021.753145
Basak R., Wahid K.A., Dinh A., et al. Rapid and efficient determination of relative water contents of crop leaves using electrical impedance spectroscopy in vegetative growth stage. Remote Sensing. 2020;12:1753. https://doi.org/10.3390/rs12111753
Cavalieri R., Bertemes-Filho P. Plant tissue differentiation using electrical impedance spectroscopy with deep neural networks. International Journal of Biosensors and Bioelectronics. 2020;6:20–23.
Feng L., Gao J., Sui X., et al. Effect of fruit ripeness on electrical impedance spectrum parameters. LWT. 2024;208:116751. https://doi.org/10.1016/j.lwt.2024.116751
Cheng J., Yu P., HuangY., et al. Application status and prospect of impedance spectroscopy in agricultural product quality detection. Agriculture. 2022;12(10):1525. https://doi.org/10.3390/agriculture12101525
Arteaga H., Robleto-Martinez E., de Sousa Silva A.C., et al. Postharvest freezing process assessment of the blueberry structure in three acts: bioimpedance, color, and granulometry analysis. LWT. 2021;151:112237. https://doi.org/10.1016/j.lwt.2021.112237
Ando Ya., Mizutani K., Wakatsuki N. Electrical impedance analysis of potato tissues during drying. Journal of Food Engineering. 2014;121:24-31. https://doi.org/10.1016/j.jfoodeng.2013.08.008
Herzog K., Wind R., Töpfer R. Impedance of the grape berry cuticle as a novel phenotypic trait to estimate resistance to Botrytis cinerea. Sensors. 2015;15(6):12498-12512. https://doi.org/10.3390/S150612498
Ivanova M.I. Determination of the degree of affinity of grafted grape plants by the impedance method. Viticulture and Winemaking. 2020;49:154-156. (In Russ.) EDN WBAEZR.
Nikolenko V.D., Stankevich R.E., Goroshko V.V. Production of Grafted Grape Seedlings. Simferopol: Tavrida Publ. 1976:1-47 (In Russ.)
Osadchiy I.Ya. Anatomy and Morphology of Table Grape Grafting: A Monograph. Novocherkassk: Lik. 2011:1–21. (In Russ.) EDN QLCAYL.
Zimina N.I., Avdeenko I.A. Growth processes during stratification of vine grafts of various scion-rootstock combinations. Russian Grapes. 2025;32:11-15. (In Russ.) https://doi.org/10.32904/2712-8245-2025-32-11-15 EDN UKZFRG.
Zameta O.G., Ivanchenko V.I., Raikov A.V. Impedance indicators for assessing the compatibility of rootstock-graft combinations of indigenous Crimean grapevine varieties. Russian Grapes. 2023;26:54-61. (In Russ.) https://doi.org/10.32904/2712-8245-2023-26-54-61 EDN XISHLD.
Mineev V.V., Aleynikov A.F. Assessment of the physiological state of garden plants by electrical bioimpedance spectroscopy. Transactions of Taurida Agricultural Science. 2022; 32(195):66–78. (In Russ.) EDN: ZXLSYF
Guzhova Ye.Ye., Samoschenkov Ye.G., Panichkin L.A., et al. Methods of measuring the electrical conductivity of grafted fruit crop tissues. Izvestiya of Timiryazev Agricultural Academy. 2018;6:100–108. (In Russ.) EDN: VVMYFQ
Klimek K., Postawa K., Kapłan M., et al. Evaluation of the influence of rootstock type on the yield parameters of vines using a mathematical model in nontraditional wine-growing conditions. Applied Sciences. 2022;12:7293. EDN KHICJL
Published
Issue
Section
License
Copyright (c) 2026 Studennikova N.L., Skalozubov I.M., Rybachenko N.A.
This work is licensed under a Creative Commons Attribution 4.0 International License.
