Non-invasive optical methods (spectrometry, thermal imaging) when determining nitrogen deficiency and the physiological state of wheat in the field conditions

Rusakov, D.V.; Kanash, E.V.; Chesnokov, Yu.V.

doi:10.7868/S3034530825020094

PII

S30345308S0869769825020094-1

DOI

10.7868/S3034530825020094

Publication type

Review

Status

Published

Authors

D.V. Rusakov

Occupation: Candidate of Sciences in Agriculture, Senior Researcher
Affiliation: Agrophysical Research Institute

E.V. Kanash

Occupation: Doctor of Sciences in Biology, Chief Researcher
Affiliation: Agrophysical Research Institute

Yu.V. Chesnokov

Occupation: Corresponding Member of RAS, Doctor of Sciences in Biology, Director
Affiliation: Agrophysical Research Institute

Volume/ Edition

Volume / Issue number 2

Pages

124-137

Abstract

The reflection spectra and leaf surface temperature were measured in a field experiment when growing wheat of the Daria variety in the field conditions of the Menkovo experimental station of the Agrophysical Research Institute. The plants were vegetated at different levels of nitrogen nutrition (0-200 kg/ha in increments of 40 kg/ha). Fertilizers were applied in 2 stages: 2/3 of the dose of nitrogen (nitrogen strip) before sowing and 1/3 (ammonium nitrate) at the stage of completion of tillering. The analysis of the diffuse reflection indices of the leaf surface revealed a close positive relationship between the chlorophyll index (ChlRI) and a close negative relationship between the photochemical reflection index (PRI) and the dose of nitrogen fertilizers applied at the early stages of nitrogen deficiency, when there are no visible symptoms of plant oppression. The reflection indices SIPI, R800, ARI and FRI, in addition to assessing the nitrogen supply of plants, can be useful in assessing the specific response of plants to the action of various stressors, for example, to a deficiency of soil moisture or a lack of soil nitrogen. The use of thermal imaging made it possible to assess the transpiration activity of wheat plants depending on the level of nitrogen nutrition and its change during the day.

Keywords

спектроскопия индексы диффузного отражения термальные изображения дефицит азота дефицит воды

Date of publication

01.04.2025

Year of publication

2025

Number of purchasers

Views

References

1. Dobrowski S.Z., Pushnik J.C., Zarco-Tejada P.J., Ustin S.L. Simple reflectance indices track heat and water-stress induced changes in steady-state chlorophyll fluorescence at the canopy level // Remote Sensing of Environment. 2005. Vol. 97 (3). P. 403-414. DOI: 10.1016/j.rse.2005.05.006.
2. Rosso P.H., Pushnik, J.C., Lay M., Ustin S.L. Reflectance properties and physiological responses of Salicornia virginica to heavy metal and petroleum contamination // Environmental Pollution. 2005. Vol. 137 (2). P. 241-252. DOI: 10.1016/j.envpol.2005.02.025.
3. Kanash E.V., Panova G.G., Blokhina S.Yu. Optical criteria for assessment of efficiency and adaptogenic characteristics of biologically active preparations // Acta Horticulturae. 2013. 1009 (ISHS). P. 37-44. DOI: 10.17660/ActaHortic.2013.1009.2.
4. Graeff S., Claupein W. Quantifying nitrogen status of corn (Zea mays L.) in the field by reflectance measurements // European Journal of Agronomy. 2003. Vol. 19 (4). P. 611-618. DOI: 10.1016/S1161-0301(03)00007-8.
5. Kanash E.V., Osipov Y.A. Optical signals of oxidative stressin crops physiological state diagnostics. Precision agriculture Wageningen. Netherlands, 2009. P. 81-89. DOI: 10.3920/978-90-8686-664-9.
6. Yakushev V., Kanash E., Rusakov D., Blokhina S. Specific and non-specific changes in optical characteristics of spring wheat leaves under nitrogen and water deficiency // Advances in Animal Biosciences: Precision Agriculture. 2017. Vol. 8 (02). P. 229-232. DOI: 10.1017/S204047001700053X.
7. Yakushev V.P., Kanash E.V. Evaluation of wheat nitrogen status by colorimetric characteristics of crop canopy presented in digital images // Journal of Agricultural Informatics. 2016. Vol. 7(1). P. 65-74. doi: 10.17700/jai.2016.7.1.268.
8. Sims D.A., Gamon J.A. Relationships between leaf pigment content and spectral reflectance across a wide range of species, leaf structures and developmental stages // Remote Sensing of Environment. 2002. Vol. 81(2/3). P. 337-354. DOI: 10.1016/S0034-4257(02)00010-X.
9. Merzlyak M.N., Solovchenko A.E., Smagin A.I., Gitelson A.A. Apple flavonols during fruit adaptation to solar radiation: spectral features and techniques for non-destructive assessment // Russian Journal of Plant Physiology. 2005. Vol. 162 (2). P. 151-160. DOI: 10.1016/j.jplph.2004.07.002.
10. Penuelas J., Baret F., Filella I. Semi-empirical indices to assess carotenoids/chlorophyll a ratio from leaf spectral re ectance // Photosynthetica. 1995. Vol. 31 (2). P. 221-230.
11. Gamon J., Penuelas J., Field C. A narrow-waveband spectral index that tracks diurnal changes in photosynthetic ef ciency // Remote Sensing of Environment. 1992. Vol. 41 (1). P. 35-44.
12. Rusakov D.V., Kanash E.V. Spectral characteristics of leaves diffuse reflection in conditions of soil drought: a study of soft spring wheat cultivars of different drought resistance // Plant. Soil and Environment. 2022. Vol. 68. (3). P. 137-145. DOI: 10.17221/483/2021-PSE.
13. Xu H., Ying Y. Application of infrared thermal imaging in the identi cation of citrus on trees // Journal of Infrared and Millimeter Waves. 2004. Vol. 23. P. 353-356.
14. Möller M., Alchanatis V., Cohen Y., Meron M., Tsipris J., Ostrovsky V. Use of thermal and visible imagery for estimating crop water status of irrigated grapevine // Journal of Experimental Botany. 2007. Vol. 58. P. 827-838. DOI: 10.1093/jxb/erl115.
15. Xu J., Lv Y., Liu X., Dalson T., Yang S., Wu J. Diagnosing Crop Water Stress of Rice using Infrared Thermal Imager under Water De cit Condition // International Journal of Agriculture and Biology. 2015. Vol. 18. P. 565-572. DOI: 10.17957/IJAB/15.0125.
16. Ghazouani H., Capodici F., Ciraolo G., Maltese A., Rallo G., Provenzano G. Potential of Thermal Images and Simulation Models to Assess Water and Salt Stress: Application to Potato Crop in Central Tunisia // Chemical Engineering Transactions. 2017. Vol. 58. P. 709-714. DOI: 10.3303/CET1758119.
17. García-Tejero I.F., Rubio A.E., Viñuela I., Hernández A., Gutiérrez-Gordillo S., Rodríguez-Pleguezuelo C.R., Durá-n-Zuazo V.H. Thermal imaging at plant level to assess the crop-water status in almond trees (cv. Guara) under de cit irrigation strategies // Agricultural Water Management. 2018. Vol. 208. P. 176-186. DOI: 10.1016/j.agwat.2018.06.002.
18. Vieira G.H.S., Ferrarezi R.S. Use of Thermal Imaging to Assess Water Status in Citrus Plants in Greenhouses // Horticulturae. 2021. Vol. 7 (8), 249. DOI: 10.3390/horticulturae7080249.
19. Trentin R., Zolnier S., Ribeiro A., Steidle Neto A.J. Transpiration and leaf temperature of sugarcane under different matric potential values // Engenharia Agricola. 2011. Vol. 31 (6). P. 1085-1095. DOI: 10.1590/s0100-69162011000600006.
20. Gardner B.R., Blad B.L., Watts D.G. Plant and air temperatures in differentially irrigated corn // Agricultural Meteorology. 1981. Vol. 25. P. 207-217.
21. Jackson R.D. Canopy temperature and crop water stress // Advancesin Irrigaton. 1982. P. 43-85. DOI: 10.1016/b978-0-12-024301-3.50009-5.
22. Testi L., Goldhamer D.A., Iniesta F., Salinas M. Crop water stress index is a sensitive water stress indicator in pistachio trees // Irrigation Science. 2008. Vol. 26. 395-405. DOI: 10.1007/s00271-008-0104-5.
23. Grant O.M., Tronina L., Jones H.G., Chaves M.M. Exploring thermal imaging variables for the detection of stress responses in grapevine under different irrigation regimes // Journal of Experimental Botany. 2007. Vol. 58. P. 815-825. DOI: 10.1093/jxb/erl153.
24. Reynolds M.P., Dreccer F., Trethowan R. Drought-adaptive traits derived from wheat wild relatives and landraces // Journal of Experimental Botany. 2007. Vol. 58. P. 177-186. DOI: 10.1093/jxb/erl250.
25. Leinonen N., Jones H.G. Combining thermal and visible imagery for estimating canopy temperature and identifying plant stress // Journal of Experimental Botany. 2004. Vol. 55, No. 401. P. 1423-1431. DOI: 10.1093/jxb/erh146.
26. Araus J.L., Slafer G.A., Reynolds M.P., Royo C. Plant Breeding and Drought in C3 Cereals: What Should We Breed For? // Annals of Botany. 2002. Vol. 89. P. 925-940. doi: 10.1093/aob/mcf049.
27. Chesnokov Y.V., Kanash E.V., Mirskaya G.V., Kocherina N.V., Rusakov D.V., Lohwasser U., Börner A. QTL mapping of diffuse re ectance indices of leaves in hexaploid bread wheat (Triticum aestivum L.) // Russian Journal of Plant Physiology. 2019. Vol. 66. P. 77-86. DOI: 10.1134/S1021443719010047.

GOST	Chesnokov Y., Kanash E., Rusakov D. Non-invasive optical methods (spectrometry, thermal imaging) when determining nitrogen deficiency and the physiological state of wheat in the field conditions // Vestnik of the Far East Branch of the Russian Academy of Sciences. – 2025. – Issue number 2 C. 124-137 . URL: https://vestdvoras.ru/s30345308s0869769825020094-1/?version_id=116325. DOI: 10.7868/S3034530825020094
MLA	Chesnokov, Yu.V, Kanash, E.V, Rusakov, D.V "Non-invasive optical methods (spectrometry, thermal imaging) when determining nitrogen deficiency and the physiological state of wheat in the field conditions." Vestnik of the Far East Branch of the Russian Academy of Sciences. 2 (2025).:124-137. DOI: 10.7868/S3034530825020094
APA	Chesnokov Y., Kanash E., Rusakov D. (2025). Non-invasive optical methods (spectrometry, thermal imaging) when determining nitrogen deficiency and the physiological state of wheat in the field conditions. Vestnik of the Far East Branch of the Russian Academy of Sciences. no. 2, pp.124-137 DOI: 10.7868/S3034530825020094

RAS PresidiumВестник Дальневосточного отделения Российской академии наук Vestnik of the Far East Branch of the Russian Academy of Sciences

Non-invasive optical methods (spectrometry, thermal imaging) when determining nitrogen deficiency and the physiological state of wheat in the field conditions

You can

References

Индексирование

RAS PresidiumВестник Дальневосточного отделения Российской академии наук Vestnik of the Far East Branch of the Russian Academy of Sciences

Non-invasive optical methods (spectrometry, thermal imaging) when determining nitrogen deficiency and the physiological state of wheat in the field conditions

You can

References

Индексирование

Via social network