Effect of the fungus of Ramularia tulasnei Sacc on chlorophyll fluorescence in garden strawberry

The relevance of early undamaging diagnosis of fungal diseases of garden strawberry has been proved. Comparative analysis of the main methods of early diagnostics of cultivated plants has been carried out. Fresh leaves of common garden strawberry of Symphony and Eliani cultivars grown in natural conditions in pots on bio-testing ground were used for research. Soil composition was leached chernozem with the addition of peat and fertilizer complex (superphosphate and potassium salt). Informative parameters of chlorophyll fluorescence of plant tissues of strawberry leaves obtained as a result of the impact of a bio-stressor (fungus of Ramularia tulasnei Sacc.) have been studied. Parameters of chlorophyll fluorescence in garden strawberry leaves were measured by the Dual-PAM-100 fluorimeter device in accordance with the technique developed. Fluorimeter mode control was exercised by means of the computer with the Windows operating system according to the special program. As a result of pilot studies, it was revealed that for two cultivars of garden strawberry Symphony and Eliani, fungus of Ramularia tulasnei Sacc caused the most significant and stable changes of chlorophyll fluorescence parameters of plant tissues of leaves: quantum yield of photochemical transformation of light energy, the minimum chlorophyll fluorescence a in the objects adapted to light and quantum yield of non-regulated energy dissipation. When strawberry cultivars Symphony and Eliani were affected by this bio-stressor, the parameter of quantum yield of non-regulated energy dissipation showed the most identical properties on the nature of its dependence and current values. Credible early undamaging diagnosis of fungal diseases of garden strawberry was proved possible by the level of quantum yield of non-regulated energy dissipation.

1. Anand M. A Systems Approach to Agricultural Biosecurity. Health Security. 2018. Vol. 16. N 1. Р. 1–11. DOI: 10.1089/hs.2017.0035

2. Aleinikov A.F. Metod neinvazivnogo opredeleniya gribnykh boleznei sadovoi zemlyaniki sadovoi [Method of non-invasive determination of fungal diseases of common garden strawberry]. Sibirskii vestnik sel’skokhozyaistvennoi nauki [Siberian Herald of Agricultural Science], 2018, vol. 48, no. 3, pp. 71–83. DOI: 10.26898/03708799-2018-3-10. (In Russian).

3. Treivas L.Yu., Kashtanova O.F. Bolezni i vrediteli plodovykh rastenii: Atlas-opredelitel’. izd. 3-e. [Diseases and pests of fruit plants: Atlas – determinant. 3d edition], Moscow, «Fiton XXI» Publ., 2016, 352 с. (In Russian).

4. Na Y.W., Ho J., Lee S.Y., Choi H.G., Kim S.H., Rho I.R. Chlorophyll fluorescence as a diagnostic tool for a biotic stress tolerance in wild and cultivated strawberry species. Horticulture Environment Biotechnolog., 2014, Issue 55(4), pp. 280–286. DOI: 10.1007/s13580-014-0006-9.

5. Hammond-Kosack K.E. Biotechnology: Plant Protection. Encyclopedia of Agriculture and Food Systems, 2014, vol. 2, pp. 134–152. DOI: 10.1016/B978-0-444-52512-3.00248-5.

6. Lacasta J., Lopez-Pellicer F.J., Espejo-Garcнa B., Nogueras-Iso J., Zarazaga-Soria F.J. Agricultural recommendation system for crop protection. Computers and Electronics in Agriculture, 2018, vol. 152, pp. 82–89. DOI: 10.1016/j.compag.2018.06.049

7. Ray M., Ray A., Dash S., Mishr A., Achary K.G., Nayak S., Singh S. Fungal disease detection in plants: Traditional assays, novel diagnostic techniques and biosensors, Biosensors and Bioelectronics, 2017, vol. 87, pp. 708–723. DOI: 10.1016/j.bios.2016.09.032

8. Shornikov D., Gorelov P. Sovremennye molekulyarnye metody diagnostiki boleznei plodovykh kul’tur [Horticultural crops disease advanced molecular diagnostics methods]. Analitika [Analytics], 2015, no. 4, pp. 64–71. (In Russian).

9. Fedorenko V.F., Mishurov N.P., Nemenushchaya L.A. Perspektivnye tekhno-logii diagnostiki patogenov sel’skokhozyaistvennykh rastenii [Perspective diagnostics technologies of agricultural plants’ pathogens]. Moscow, FGBNU «Rosinformagrotekh» Publ., 2018, 68 p. (In Russian).

10. Chen Ch., Gong N., Qu F., Gao Y., Fang W., Sun Ch., Men Z. Effects of carotenoids on the absorption and fluorescence spectral properties and fluorescence quenching of Chlorophyll a. Spectrochimica Acta Part A: Molecular and Biomolecular Spectroscopy, 2018, vol. 204, pp. 440–445. DOI: https://doi.org/10.1016/j.saa.2018.06.061

11. Zhou Ch., Le J., Hua D., He T., Mao J. Imaging analysis of chlorophyll fluorescence induction for monitoring plant water and nitrogen treatments. Measurement, 2019, vol. 136, pp. 478– 486. DOI: 10.1016/j.measurement.2018.12.088

12. Banks J.M. Chlorophyll fluorescence as a tool to identify drought stress in Acer genotypes. Environmental and Experimental Botany, 2018, vol. 155, pp. 118–127. DOI: 10.1016/j.envexpbot.2018.06.022.

13. Zhang Yu., Li G. Effects of cesium accumulation on chlorophyll content and fluorescence of Brassica juncea L. Journal of Environmental Radioactivity, 2018, vol. 195, pp. 26–32. DOI: 10.1016/j.jenvrad.2018.09.017.

14. Baker N.R., Rosenqvist E. Applications of chlorophyllfluorescence can improve crop production strategies: An examinationof future possibilities. Journal of Experimental Botany, 2004, Issue 55, pp. 1607–1621. DOI: 10.1093/jxb/erh196.

15. Dong Z., Men Yu., Li Z., Zou Qiu, Ji J. Chlorophyll fluorescence imaging as a tool for analyzing the effects of chilling injury on tomato seedlings. Scientia Horticulturae, 2019, vol. 246, pp. 490–497. DOI: 10.1016/j.scienta.2018.11.019

16. Li Y., Song H., Zhou L., Xu Z., Zhou G. Tracking chlorophyll fluorescence as an indicator of drought and rewatering across the entire leaf lifespan in a maize field. Agricultural Water Management, 2019, vol. 211, pp. 190–201. DOI: 10.1016/j.scienta.2019.02.056.

17. Sayed O.H. Chlorophyll fluorescence as a tool in cereal crop research. Photosynthetica, 2003, Issue 41, pp. 321–330. DOI: 10.1023/b:phot.0000015454.36367.e2

18. Xiong-Bo L., Dan-Ying L., Qian-Qian W., Wei Y., Teng L., Zhi-Gang Y., Jun-Le Q. Recent progress of fluorescence lifetime imaging microscopy technology and its application. Acta Physica Sinica, 2018, vol. 67 (17), pp. 178-701. DOI: 10.7498/aps.67.20180320.

19. Atta B.M., Saleem M., Ali H., Arshad H.M.I., Ahmed M. Chlorophyll as a biomarker for early disease diagnosis. Laser Physics, 2018, vol. 28 (6), pp. 065607. DOI: 10.1088/15556611/aab94f.

20. Tischler Y.K., Thiessen E., Hartung E. Early optical detection of infection with brown rust in winter wheat by chlorophyll fluorescence excitation spectra. Computers and Electronics in Agriculture, 2018, vol. 146, pp. 77–85. DOI: 10.1016/j.compag.2018.01.026.

21. Gol’tsev V.N., Kaladzhi Kh.M., Paunov M., Baba V., Khorachek T., Moiski Ya., Kotsel Kh., Allakhverdiev S.I. Ispol’zovanie peremennoi fluorestsentsii khlorofilla dlya otsenki fiziologicheskogo sostoyaniya fotosinteticheskogo apparata rastenii [Variable chlorophyll fluorescence and its use for assessing physiological condition of plant photosynthetic apparatus]. Fiziologiya rastenii [Russian Journal of Plant Physiology], 2016, vol. 63, no. 6, pp. 881–907. (In Russian).

22. Dixon R.A. The phytoalexin response elicitation, signaling and control of hostgene-expression. Biological reviews of the Cambridge Philosophical Society, 1986, vol. 61 (3), pp. 239–291.

23. Cerovic Z.G., Ounis A., Cartelat A., Latouche G., Goulas Y., Meyer S. The use of chlorophyll fluorescence excitation spectra for the non-destructive in situ assessment of UVabsorbing compounds in leaves. Plant, Cell Environ, 2002, vol. 25 (12), pp. 1663–1676. DOI: 10.1046/j.1365-3040.2002.00942.x

24. Anguelova V.S., van der Westhuizen A.J., Pretorius Z.A. Intercellular proteins and beta1,3-glucanase activity associated with leaf rust resistance in wheat. Physiol. Plant, 1999, vol. 106 (4), pp. 393–401. DOI: 10.1034/j.1399-3054.1999.106406.x

25. Dhingra G., Kumar V., Joshi H.D. Study of digital image processing techniques for leaf disease detection and classification. Multimedia Tools and Applications, 2018, vol. 77 (15), pp. 19951–20000. DOI: 10.1007/s11042-0175445-8.