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Daily variations in tomato stem diameter as a criterion for irrigation management

https://doi.org/10.26898/0370-8799-2021-5-12

Abstract

The process of daily variation in tomato stem diameter is examined in order to justify the use of this parameter to control drip irrigation. Changes in the size of individual plant parts depend on the provision of water, light, heat and nutrients to the production process. Therefore, such plant parameters as leaf temperature, xylem flow rate, fruit and stem diameter can be indicators of availability of necessary resources. The research was carried out in Novosibirsk region in June - September 2020. The value of the range of daily variations in stem diameter, which has a close relationship to relative soil moisture, was used as an indicator of plant water stress. The source of the information is the results of measurements of soil moisture and stem diameter growth of tomato. Experiments to assess the effect of water deficit on stem parameters were carried out on a plant set out in the open ground separately from the rest. Artificial water stress conditions were created by watering once a week. Data were collected using a PM-11z phytomonitor, soil moisture and stem diameter growth sensors. The results of measurements were processed in Microsoft Office Excel program. It was found that the range of daily fluctuations of stem diameter growth depends on moisture availability. When soil moisture is below 30%, the plant experiences water stress and the range of stem diameter fluctuations increases. The maximum growth in stem diameter was observed at 7-10 a.m. and the minimum at 13-15 p.m. local time. The difference between the maximum and minimum of the daily stem diameter increase characterizes the range of the daily stem diameter difference, which correlates closely with soil moisture. The correlation coefficient between them is 0.72. The limit for the daily stem diameter difference is 0.025 mm at 30% soil moisture. If the actual value of this parameter exceeds the limit value, the irrigation system can be activated. The implementation of this approach makes it possible to automate the irrigation process and to take into account the indicator that signals water stress of the plant.

About the Authors

S. F. Usoltsev
Siberian Federal Scientific Centre of Agro-BioTechnologies of the Russian Academy of Sciences
Russian Federation

Sergey F. Usoltsev, Candidate of Science in Engineering, Lead Researcher

PO Box 463, SFSCA RAS, Krasnoobsk, Novosibirsk Region, 630501



R. V. Rybakov
Siberian Federal Scientific Centre of Agro-BioTechnologies of the Russian Academy of Sciences
Russian Federation

Roman V. Rybakov, Postgraduate Student

Krasnoobsk, Novosibirsk region



G. V. Nestyak
Siberian Federal Scientific Centre of Agro-BioTechnologies of the Russian Academy of Sciences
Russian Federation

Galina V. Nestyak, Senior Researcher

Krasnoobsk, Novosibirsk region



Yu. V. Goncharenko
Siberian Federal Scientific Centre of Agro-BioTechnologies of the Russian Academy of Sciences
Russian Federation

Yuri V. Goncharenko, Junior Researcher

Krasnoobsk, Novosibirsk region



References

1. Konev A.V., Lomakin V.S., Matveyenko D.A., Yakushev V.V. The structure of production processes presentation in the back-up system of decision-making in agriculture. Agrofizika = Agrophysics, 2018, no. 1, pp. 24–37. (In Russian).

2. Mikhaylenko I.M. Management of precision farming systems. St. Petersburg, SPGU Publishing House, 2006, 396 p. (In Russian).

3. Poluektov R.A., Smolyar E.I., Terleyev V.V., Topazh A.G. Models of the production process of crops. St. Petersburg, SPGU Publishing House, 2005, 234 p. (In Russian).

4. Chernova N.M., Bylova A.M. General ecology. Moscow, Drofa, 2004, 416 p. (In Russian).

5. Protasov V.F. Ecology: terms and concepts, standards, certification, regulations. Moscow, Finance and statistics, 2005, 667 p. (In Russian).

6. Nestyak V.S., Usol'tsev S.F., Ivakin O.V., Kos'yanenko V.P., Rybakov R.V., Patrin V.A. Management of production process of agricultural crops (on the example of tomatoes). Vestnik Bashkirskogo gosudarstvennogo agrarnogo universiteta = Bulletin of Bashkir State Agrarian University, 2018, no. 3, pp. 73–79. (In Russian).

7. Korsakova S.P., Il'nitskiy O.A., Plugatar' Yu.V., Pashtetskiy A.V. Application of phytomonitoring systems to optimize introduction studies, Trudy Gosu-darstvennogo Nikitskogo botanicheskogo sada = Collection of scientific works of the State Nikitsky Botanical Gardens, 2018, vol. 147, pp. 80–82. (In Russian).

8. Korsakova S.P. Criteria for evaluating the parameters of eco-physiological passport of plants. Tavricheskiy vestnik agrarnoy nauki = Taurida bulletin of the agrarian sciences, 2018, no. 4 (16), pp. 57–65. (In Russian). DOI: 10.25637/TVAN2018.04.06.

9. Odintsova V.A. Phytomonitoring when studying water exchange and temperature conditions of cherry plants. Nauchnyye trudy Severo-Kavkazskogo zonal'nogo NII sadovodstva i vinogradarstva = Scientific works of the State Scientific Organization of North-Caucasian Regional Research Institute of Horticulture and Viticulture, 2017, vol. 13, pp. 55–58. (In Russian).

10. Basargina Ye.M., Litsinger O.G., Putilova T.A. Measuring system of phytomonitoring. APK Rossii = AIC of Russia, 2017, vol. 24, no. 5, pp. 1141–1146. (In Russian).

11. Il'nitskiy O.A. Dependence of the intensity of photosynthesis of Nerum oleander and Laurus Nobilis L on environmental factors, leaf temperature, transpiration and their measurement during the growing season under the conditions of the Southern Coast of Crimea, Byulleten' Gosudarstvennogo Nikitskogo bota-nicheskogo sada = Bulletin of the State Nikitsky Botanical Garden, 2017, no. 125, pp. 109–113. (In Russian).

12. Tashchilina A.V. Fuzzy model of operational planning of irrigation for automated drip irrigation systems. Izvestiya VUZov. Severo-Kavkazskiy region. Tekhnicheskiye nauki = University news. North Caucasian region. Technical sciences series, 2015, no. 1, pp. 38–41. (In Russian).

13. Tashchilina A.V. Identification of the model for drip irrigation scheduling to manage automated systems of drip irrigation. Nauchnyy zhurnal Rossiyskogo NII problem melioratsii = Scientific journal of the Russian Research Institute of Melioration Problems, 2015, no. 1 (17), pp. 41–60. (In Russian).

14. Levi L.I., Tashchilina A.V. Physiological level of plant stress in the hierarchical structure of the fuzzy logical inference tree, Molodoy uchenyy = Young scientist, 2014, no. 11, pp. 67–69. (In Russian).

15. Balaur N.S., Vorontsov V.A., Kleyman E.I., Ton Yu.D. New technology for monitoring CO2-exchange in plants. Fiziologiya rasteniy = Plant Physiology, 2009, vol. 56, no. 3, pp. 466– 470. (In Russian).

16. Korsakova S.P., Plugatar' Yu.V., Il'nitskiy O.A., Kleyman E.I. Water relation features of Nerium oleander L. under progressive soil drought stress. Yug Rossii: ekologiya, razvitiye = South of Russia: ecology, development, 2018, vol. 13, no. 1, pp. 101–115. (In Russian).


Review

For citations:


Usoltsev S.F., Rybakov R.V., Nestyak G.V., Goncharenko Yu.V. Daily variations in tomato stem diameter as a criterion for irrigation management. Siberian Herald of Agricultural Science. 2021;51(5):101-107. https://doi.org/10.26898/0370-8799-2021-5-12

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ISSN 0370-8799 (Print)
ISSN 2658-462X (Online)