Founder and publisher – Russian Scientific Research Institute of Land Improvement Problems
Land Reclamation and Hydraulic Engineering Melioraciâ i gidrotehnika
ISSN 2712-9357
RUS / ENG

A UNIFIED MODEL FOR DETERMINING YIELDS WHILE CHANGING THE WATER CONSUMPTION DEFICIT OF VARIOUS AGRICULTURAL CROPS IN THE ARID ZONE OF SOUTHERN RUSSIA

Annotation

Purpose: to substantiate scientifically a unified model for determining the yield of various agricultural crops when changing water consumption deficit for the arid climate conditions of southern Russia. 

Materials and methods. The field experiment was conducted in 2021–2023 and was based on the study of the water balance structure formation of an irrigated field of various agricultural crops: winter wheat, corn for grain, summer potatoes, onions, sugar beet, soybeans and carrots. 

Results. Data analysis showed that over three years of research with precipitation levels of Pn = 40 % (2021), Pn = 60 % (2022), Pn = 10 % (2023), the yields of the crops under consideration were, respectively: winter wheat – from 4.9 to 6.5 t/ha; corn per grain – from 12.5 to 13.5 t/ha; onions – from 88.5 to 97.3 t/ha; summer potatoes – from 35.2 to 39.3 t/ha; carrots – from 71.9 to 82.1 t/ha; sugar beet – from 43.5 to 48.9 t/ha; soybeans – from 4.1 to 4.6 t/ha. When developing a model for determining yields, two fundamental areas of planning water intake for irrigation should be considered: 1) a deterministic planning model, when water supply in sources is unlimited, there is no shortage of both water and other integral types of resources: 1 – YA/Ymax = KO(1 – ETA/ETmax); 2) a stochastic planning model in the presence of a shortage of both water, as well as other integral types of resources in their mathematical expression: 1 – YA/YS = KO(1 – ETA/ETS). The standard yield is determined taking into account these deficits: YA = min(α0 + α1·ΔWA; YS). 

Conclusions. The use of the model will allow, first of all, to highlight the priority of the appropriate agricultural crop to provide irrigation water, taking into account the optimal reduction in yields of related crops of the developing crop rotation and the actual hydrometeorological situation in the irrigated area under the conditions of water scarcity.

doi: 10.31774/2712-9357-2026-16-2-1-15

Keywords

simulation, actual yield, optimal yield, water consumption deficit, soil moisture storage, the south of Russia

For quoting

Olgarenko V. I., Olgarenko I. V., Kolganov A. V., Olgarenko V. Ig. A unified model for determining yields while changing the water consumption deficit of various agricultural crops in the arid zone of southern Russia. Land Reclamation and Hydraulic Engineering. 2026;16(2):1–15. (In Russ.). https://doi.org/10.31774/2712-9357-2026-16-2-1-15.

Authors

V. I. Olgarenko – Professor of the Department, Doctor of Technical Sciences, Professor, Corresponding Member of Russian Academy of Sciences, Honored Scientist of the Russian Federation, Novocherkassk Engineering and Land Reclamation Institute named after A. K. Kortunov – branch of the Don State Agrarian University (346428, Rostov region, Novocherkassk, Pushkinskaya st., 111), nimi-info@yandex.ru, AuthorID: 580234, ORCID: 0000-0003-4399-997Х; 

I. V. Olgarenko – Deputy Director for Science and Innovation, Doctor of Technical Sciences, Associate Professor, Novocherkassk Engineering and Land Reclamation Institute named after A. K. Kortunov – branch of the Don State Agrarian University (346428, Rostov region, Novocherkassk, Pushkinskaya st., 111), nimi-info@yandex.ru, AuthorID: 400173, ORCID: 0000-0002-4865-5642; 

A. V. Kolganov – Chief Researcher, Doctor of Technical Sciences, Professor, Russian Scientific Research Institute of Land Improvement Problems (346421, Rostov region, Novocherkassk, Baklanovsky ave., 190), kolganov49@mail.ru, AuthorID: 347268, ORCID: 0000-0003-0234-0079;

V. Ig. Olgarenko – Senior Researcher, Candidate of Technical Sciences, Russian Scientific Research Institute of Land Improvement Problems (346421, Rostov region, Novocherkassk, Baklanovsky ave., 190), olgarenko_vi@mail.ru, AuthorID: 653085, ORCID: 0000-0002-9609-5571.

Bibliography

1. Olgarenko V.I., Olgarenko G.V., Olgarenko I.V., 2019. Optimizatsiya protsessov vodopol'zovaniya na osnove metodologii landshaftno-ekologicheskogo podkhoda [Optimization of Water Use Processes Based on the Methodology of the Landscape-Ecological Approach]. Novocherkassk, Lick Publ., 623 p., EDN: UZWMWT. (In Russian).

2. Likhatsevich A.P., 2018. Ispol'zovanie obobshchennoy matematicheskoy modeli dlya analiza rezul'tatov mnogofaktornykh agronomicheskikh opytov [Generalized mathematical model for analyzing obtained results of agronomic experiments]. Melioratsiya i vodnoe khozyaystvo [Land Reclamation and Water Management], no. 1, pp. 19-23, EDN: YQRJJG. (In Russian).

3. Yurchenko I.F., 2022. Prioritetnye napravleniya i meropriyatiya sovremennoy tsifrovizatsii v melioratsii [Priority areas and activities of modern digitalization in land reclamation]. Melioratsiya i gidrotekhnika [Land Reclamation and Hydraulic Engineering], vol. 12, no. 2, pp. 84-100, DOI: 10.31774/2712-9357-2022-12-2-84-100, EDN: KYWLYQ. (In Russian).

4. Mai Z., He Y., Feng C., Han C., Shi Y., Qi W., 2024. Multi-objective modeling and optimization of water distribution for canal system considering irrigation coverage in artesian irrigation district. Agricultural Water Management, vol. 301, article number: 108959, DOI: 10.1016/j.agwat.2024.108959, EDN: ETQZZA. 

5. Chen Y., Li H., Xu Y., Fu Q., Wang Y., He B., Li M., 2024. Sustainable management in irrigation water distribution system under climate change: Process-driven optimization modelling considering water-food-energy-environment synergies. Agricultural Water Management, vol. 302, article number: 108990, DOI: 10.1016/j.agwat.2024.108990, EDN: LYGIIC.

6. Borodychev V.V., Lytov M.N., 2019. Tekhniko-tekhnologicheskie osnovy regulirovaniya gidrotermicheskogo rezhima agrofitotsenoza v usloviyakh orosheniya [Technical and technological foundations for regulating the hydrothermal regime of agrophytocenosis under irrigation conditions]. Nauchnaya zhizn' [Scientific Life], vol. 14, no. 10(98), pp. 1484-1495, DOI: 10.35679/1991-9476-2019-14-10-1484-1495, EDN: ISXDNS. (In Russian).

7. Likhatsevich A.P., 2021. Ispol'zovanie fizicheskogo printsipa dlya postroeniya eksperimental'nykh matematicheskikh modeley issleduemykh protsessov v meliorativnoy nauke [Using a physical principle to construct experimental mathematical models of the processes under study in land reclamation science]. Melioratsiya i vodnoe khozyaystvo [Land Reclamation and Water Management], no. 6, pp. 30-36, DOI: 10.32962/0235-2524-2021-6-30-36, EDN: ELRDXM. (In Russian).

8. Likhatsevich A.P., Latushkina G.V., Levkevich A.A., Malyshko A.V., Titova M.N., 2022. Vybor pokazatelya vodnogo rezhima v matematicheskoy modeli urozhaynosti sakharnoy svekly [Selection of the water regime indicator in the mathematical model of sugar beet yield]. Melioratsiya [Land Reclamation], no. 4(102), pp. 45-54, EDN: WKXDZY. (In Russian).

9. Olgarenko G.V., Turapin S.S., Bulgakov V.I., Kapustina T.A., Mishchenko N.A., Zverkov M.S., Pautova L.E., Grushin A.V., Medvedeva E.V., Bannikova A.I., Sosnovskikh I.D., 2020. Meliorativnyy kompleks Rossiyskoy Federatsii: inform. izd. [Land Reclamation Complex of the Russian Federation: information ed.]. FGBNU VNII “Raduga”, Moscow, Rosinformagrotekh Publ., 304 p., EDN: AVWQXO. (In Russian).

10. Yurchenko I.F., 2023. Planirovanie sistemnogo vodoraspredeleniya: sovremennoe sostoyanie i prioritetnye napravleniya sovershenstvovaniya [System water distribution planning: current state and priority areas for improvement]. Melioratsiya i gidrotekhnika [Land Reclamation and Hydraulic Engineering], vol. 13, no. 1, pp. 184-199, DOI: 10.31774/2712-9357-2023-13-1-184-199, EDN: CUPZJN. (In Russian).

Funding

Funding source: subsidies for the implementation of State Assignment No. 082-00063-26 PR are from the federal budget.

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