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DOI: 10.15507/2658-4123.031.202101.021-036
Assessment of Winter Wheat Plant Development during the Seeding and Tillering Stages According to the Earth Remote Sensing Data
Irina G. Storchak
Senior Researcher of the Department of Plant Physiology, North Caucasus Federal Agricultural Research Centre (49 Nikonov St., Mikhailovsk 356241, Russian Federation), Researcher ID: AAB-4142-2020, ORCID: https://orcid.org/0000-0001-8741-6882, This email address is being protected from spambots. You need JavaScript enabled to view it.
Fedor V. Eroshenko
Head of the Department of Plant Physiology, North Caucasus Federal Agricultural Research Centre (49 Nikonov St., Mikhailovsk 356241, Russian Federation), D.Sc. (Biology), Researcher ID: AAB-4769-2020, ORCID: https://orcid.org/0000-0003-0238-3861, This email address is being protected from spambots. You need JavaScript enabled to view it.
Lusine R. Oganyan
Researcher of the Department of Plant Physiology, North Caucasus Federal Agricultural Research Centre (49 Nikonov St., Mikhailovsk 356241, Russian Federation), Researcher ID: AAB-4805-2020, ORCID: https://orcid.org/0000-0002-0019-8956, This email address is being protected from spambots. You need JavaScript enabled to view it.
Elena O. Shestakova
Researcher of the Department of Plant Physiology, North Caucasus Federal Agricultural Research Centre (49 Nikonov St., Mikhailovsk 356241, Russian Federation), Researcher ID: AAB-4741-2020, ORCID: https://orcid.org/0000-0001-5764-0576, This email address is being protected from spambots. You need JavaScript enabled to view it.
Anastasiya A. Kalashnikova
Postgraduate Student of the Department of Plant Physiology, North Caucasus Federal Agricultural Research Centre (49 Nikonov St., Mikhailovsk 356241, Russian Federation), Researcher ID: AAE-8789-2021, ORCID: https://orcid.org/0000-0002-3422-2256, This email address is being protected from spambots. You need JavaScript enabled to view it.
Introduction. The importance of controlling the organogenesis stages is that it provides the opportunity to create favorable conditions during the development of certain elements of the yield structure by caring crops and influence the grain quality. The objective of the work is to define a connection between the Earth remote sensing data and the state of winter wheat plants in the initial period of their growth and development.
Materials and Methods. The object of the study was the winter wheat plantings. The wheat varieties “Odisseya”, “Olympus”, “Niva Stavropolya”, “Victoria 11”, “Nastya” and “Firuza 40” were sown by plot in the experimental field. The industrial crops of winter wheat were studied to assess the state of the plants in the tillering stage in 2012–2013, 2013–2014 and 2015–2016 agricultural years. The Earth remote sensing data were obtained using the “VEGA” service of FBSI “Space Research Institute of the Russian Academy of Sciences”.
Results. The obtained function of the dependence of NDVI of winter wheat crops on the height and development stage of plants is a polynomial of the third degree and is characterized by high accuracy (Rcorr = 0.98). The analysis of the NDVI, RED and NIR data of fields on dates close to the dates of collecting plant samples showed a considerable degree of relationship between the vegetation index NDVI and height of winter wheat plants. In 2013, the correlation coefficient was 0.60, in 2014 – 0.66, in 2016 – 0.80, and in 2013–2016 on average about 0.85.
Discussion and Conclusion. The studies have shown that the Earth remote sensing data can be used to assess the state and degree of the development of winter wheat crops during the seeding and tillering stages, including in the production conditions. To improve the accuracy of the assessment, it is better to use the spectral brightness values in the infrared region of the spectrum.
Keywords: remote sensing data, normalized difference vegetation index, spectral brightness ratio, winter wheat, stages of organogenesis
Conflict of interest: The authors declare no conflict of interest.
For citation: Storchak I.G., Eroshenko F.V., Oganyan L. R., et al. Assessment of Winter Wheat Plant Development during the Seeding and Tillering Stages According to the Earth Remote Sensing Data. Inzhenerernyye tekhnologii i sistemy = Engineering Technologies and Systems. 2021; 31(1):21-36. DOI: https://doi.org/10.15507/2658-4123.031.202101.021-036
Contribution of the authors:
I. G. Storchak – research, preparation of the initial version of the text with subsequent revision, preparation and primary analysis of literary data.
F. V. Eroshenko – scientific guidance, formulation of the research concept, analysis and revision of the text.
L. R. Oganyan – research.
E. O. Shestakova – research.
A. A. Kalashnikova – research.
All authors have read and approved the final manuscript.
Received 11.08.2020; approved after reviewing 10.09.2020;
accepted for publication 24.09.20200
REFERENCES
1. Shestakova E.O., Oganyan L.R., Chernova I.V., et al. Effect of Variety, Predator, Level of Mineral Nutrition, Timing and Normal Seeding Rates on the Relative Content of Chlorophille in Winter Wheat Plants. Novosti nauki v APK = News of Science in the Agroindustrial Complex. 2019; (3):487-490. (In Russ.) DOI: https://doi.org/10.25930/2218-855X/122.3.12.2019
2. Chernova I.V., Shestakova E.O., Bildieva E.A. Assessment of the Quality of Grain of Winter Wheat in the Stavropol Territory under Data Protection of the Earth. Novosti nauki v APK = News of Science in the Agroindustrial Complex. 2019; (3):482-486. (In Russ.) DOI: https://doi.org/10.25930/2218- 855X/121.3.12.2019
3. Menkina Ye.A., Shapovalova N.N., Voropaeva A.A. Influence of Predecessors and Fertilizers on the Yields of Winter Wheat Cultivated by Using the No-Till Technology on Common Chernozem Soil in Stavropol Region. Izvestiya Orenburgskogo gosudarstvennogo agrarnogo universiteta = Orenburg State Agrarian University Bulletin. 2018; (3):55-59. (In Russ.) DOI: https://doi.org/10.25930/n5cv-wa92
4. Artemjev A.А., Guryanov A.M. Efficiency of Winter Wheat Cultivation with the Differentiated Application of Mineral Fertilizers. Dostizheniya nauki i tekhniki APK = Achievements of Science and Technology of AIC. 2020; 34(4):26-31. (In Russ.) DOI: https://doi.org/10.24411/0235-2451-2020-10405
5. Gostev A.V. Conditions for the Formation of High-Quality Grain in Highly Productive Resource-Saving Agricultural Technologies in the Central Chernozem Region. Zemledelie = Agriculture. 2019; (6):16-20. (In Russ.) DOI: https://doi.org/10.24411/0044-3913-2019-10604
6. Wei W., Wu W., Li Zh., et al. Selecting the Optimal NDVI Time-Series Reconstruction Technique for Crop Phenology Detection. Intelligent Automation & Soft Computing. 2016; 22(2):237-247. (In Eng.) DOI: https://doi.org/10.1080/10798587.2015.1095482
7. Tokareva O.S., Pasko O.A., Majid S.M., et al. Monitoring Vegetation State in the Central Iraq Using Landsat-8 Satellite Data. Izvestiya Tomskogo politekhnicheskogo universiteta. Inzhiniring georesursov = Bulletin of the Tomsk Polytechnic University. Geo Assets Engineering. 2020; 331(6):19-31. (In Russ.) DOI: https://doi.org/10.18799/24131830/2020/6/2671
8. Podlesnykh N.V. Peculiarities of Stages of Organogenesis, Growth and Development Phases, Crop Yield and Quality of Hard and Soft Winter Wheat under the Conditions of the Forest-Steppe of Voronezh Oblast. Vestnik Voronezhskogo gosudarstvennogo agrarnogo universiteta = Voronezh State Agrarian University Bulletin. 2015; (3):12-22. Available at: http://vestnik.vsau.ru/wp-content/ uploads/2015/10/12-22.pdf (accessed 22.01.2021). (In Russ.)
9. Torikov V.E., Romanova I.N., Ptitsyna N.V. Dependence of Photosynthetic Crop Potential and Dry Biomass Accumulation of Winter Wheat on the Sowing Dates and Mineral Nutrition Level. Vestnik Kurskoy gosudarstvennoy selskokhozyaystvennoy akademii = Bulletin of the Kursk State Agricultural Academy. 2017; (3):8-12. Available at: https://clck.ru/SvQ7m (accessed 22.01.2021). (In Russ.)
10. Saviсhenko D.L., Tsatsenko L.V., Neshchadim N.N. Comparative Characteristic of Potential and Real Productivity of the Main Ear of Collection Samples of Winter Wheat Having a “Multiflorous Effectˮ Feature. Tavricheskiy vestnik agrarnoy nauki = Tavrida Bulletin of Agrarian Science. 2018; (3):99-108. (In Russ.) DOI: https://doi.org/10.25637/TVAN.2018.03.11.
11. Bondarenko Ye.V., Belik M.A. [Phenological Observations of Winter Wheat Plants in the Implementation of Coordinate Farming Technologies]. AgroForum = AgroForum. 2019; (8):107-111. Available at: https://clck.ru/SvQjd (accessed 22.01.2021). (In Russ.)
12. Eroshenko F.V., Simatin T.V., Godunova E.I., et al. Using Physiologically Active Substances into the Technology for Winter Wheat Cultivation in the Zone of Unstable Moistening of the Stavropol Region. Research Journal of Pharmaceutical, Biological and Chemical Sciences. 2018; 9(5):2121-2128. (In Eng.) DOI: https://doi.org/10.25930/gwmr-ad54
13. Simatin T.V., Bildieva E.A., Chernova I.V., et al. The Influence of Physiologically Active Substances on the Productivity of Winter Wheat in the Conditions of Stavropol Region. Novosti nauki v APK = News of Science in the Agroindustrial Complex. 2019; (3):460-465. (In Russ.) DOI: https://doi. org/10.25930/2218-855X/116.3.12.2019
14. Bartalev S.A., Elkina E.S., Loupian E.A., et al. Remote Sensing of 2017 Winter Crops in the Russian Federation. Sovremennye problemy distantsionnogo zondirovaniya Zemli iz kosmosa = Current Problems in Remote Sensing of the Earth from Space. 2017; 14(4):275-280. (In Russ.) DOI: https://doi. org/10.21046/2070-7401-2017-14-4-275-280
15. Stepanov A.S., Aseyeva T.A., Dubrovin K.N. The Influence of Climatic Characteristics and Values of NDVI at Soybean Yield (On the Example of the Districts of the Primorskiy Region). Agrarnyy Vestnik Urala = Agrarian Bulletin of the Ural. 2020; 192(1):10-19. (In Russ.) DOI: https://doi.org/10.32417/1997- 4868-2020-192-1-10-19
16. Fedotova E.V., Maglinets Yu.A., Brezhnev R.V., et al. Obtaining Time Series of LAI to Predict Crop Yield. Sovremennye problemy distantsionnogo zondirovaniya Zemli iz kosmosa = Current Problems in Remote Sensing of the Earth from Space. 2020; 17(4):195-203. (In Russ.) DOI: https:// doi.org/10.21046/2070-7401-2020-17-4-195-203
17. Lysenko S.A. Crop Yield Forecasting Based on the Satellite Monitoring of Carbon Dynamics in Terrestrial Ecosystems. Issledovanie Zemli iz kosmosa = Exploring the Earth from Space. 2019; (4):48-59. (In Russ.) DOI: https://doi.org/10.31857/S0205-96142019448-59
18. Bukhovets A.G., Semin E.A., Kucherenko M.V., et al. Dynamic Model of Crops’ Normalized Difference Vegetation Index in Central Federal District Environment. IOP Conference Series: Earth and Environmental Science. 2020; 548. 7 p. (In Eng.) DOI: https://doi.org/10.1088/1755-1315/548/4/042019
19. Akinchin A.V., Levshakov L.V., Linkov S.A., et al. Information Technologies in the System of Precision Farming. Vestnik Kurskoy gosudarstvennoy selskohozyaystvennoy akademii = Vestnik of the Kursk State Agricultural Academy. 2017; (9):16-21. Available at: http://www.journal-kgsha.ru/data/ documents/2017-09.pdf (accessed 22.01.2021). (In Russ.)
20. Plotnikov D.E., Elkina E.S., Dunaieva Ie.A., et al. Development of the Method for Automatic Winter Crops Mapping by Means of Remote Sensing Aimed at Crops State Assessment over the Republic of Crimea. Tavricheskiy vestnik agrarnoy nauki = Tavrida Bulletin of Agrarian Science. 2020; (1):64-82. (In Russ.) DOI: https://doi.org/10.33952/2542-0720-2020-1-21-64-83
21. Linkov S.A., Akinchin A.V., Donchenko I.S., et al. The Use of Satellite Monitoring Service “Vega- Scienceˮ to Assess the Status of Crops. Novosti nauki v APK = News of Science in the Agroindustrial Complex. 2018; (2):16-19. (In Russ.) DOI: https://doi.org/10.25930/77n0-vw24
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