graduate student from 01.01.2023 to 01.01.2025
Kim, Ufa, Russian Federation
graduate student from 01.01.2023 to 01.01.2025
Kim, Ufa, Russian Federation
employee from 01.01.2021 until now
UFA, Ufa, Russian Federation
doctoral candidate from 01.01.2018 to 01.01.2025
Ufa State Oil Technical University (Department of Modern Technologies of Food Industries, Associate Professor)
doctoral candidate from 01.01.2018 to 01.01.2025
Ufa State Oil Technical University (Department of Modern Technologies of Food Industries, Associate Professor)
doctoral candidate from 01.01.2018 to 01.01.2025
Military Educational and Scientific Centre of the Air Force «Professor N.E. Zhukovsky and Y.A. Gagarin Air Force Academy» (Department of Modern Technologies of Food Industries, Associate Professor)
Ufa State Oil Technical University (Department of Modern Technologies of Food Industries, Associate Professor)
doctoral candidate from 01.01.2018 to 01.01.2026
Ufa State Oil Technical University (Department of Modern Technologies of Food Industries, Associate Professor)
doctoral candidate from 01.01.2018 to 01.01.2026
Ufa, Russian Federation
Russian Federation
VAK Russia 4.1.1
VAK Russia 4.1.2
VAK Russia 4.1.3
VAK Russia 4.1.4
VAK Russia 4.1.5
VAK Russia 4.2.1
VAK Russia 4.2.2
VAK Russia 4.2.3
VAK Russia 4.2.4
VAK Russia 4.2.5
VAK Russia 4.3.3
VAK Russia 4.3.5
UDC 635.656
UDC 631.147
CSCSTI 65.09
Russian Classification of Professions by Education 19.04.02
The aim of the study is to determine the influence of agricultural landscape microrelief and the use of the biopreparations Rizotorfin and RizoBash on the yield, amino acid composition, and functional properties of pea protein (Pisum sativum L.) in the Republic of Bashkortostan. The field experiment was conducted in 2024 at the experimental plot of the N.M. Sibircev Aksenovsky Agro-Industrial College, located on typical chernozem soils with a southern-facing slope. The factorial experiment included four microrelief elements (a leveled plot, the upper, middle, and lower parts of the slope) and three agronomic treatments: no inoculation (control) and inoculation with the nodule biopreparations Rizotorfin and RizoBash. Each treatment consisted of four replicates. The following parameters were evaluated: yield, total protein content according to the Kjeldahl method, amino acid composition using ion-exchange liquid chromatography, protein solubility, index of amino acid adequacy (IAA), nitrate and ammonium nitrogen content, phytic acid, tannins, phenolic compounds, β-carotene, flavonoids, and soluble dietary fiber. All laboratory analyses were performed in quadruplicate, and mean values and standard deviations were calculated. Inoculation increased yield by 8.4– 19.6 %, protein content by 10.1–20.4 %, and the maximum protein yield was 832 kg/ha. Inoculation with RizoBash in the upper part of the slope resulted in the highest IAA value (93.5 %) and protein solubility of up to 68.4 %. The content of phenolic compounds and flavonoids increased to 26.3 and 9.9 mg/100 g, respectively. A decrease in phytic acid and tannin content indicates improved functional properties of the grain.
field pea, inoculation, protein, agricultural landscape, biopreparations, functional nutrition, plant protein, biotechnology
1. Ismagilov RR, Nurlygayanov RB, Khadyev IR, et al. Technologya vozdelivanya soi, viki, nuta i kormovikh bobov Respublike Bashkortostan. Ufa: Bashkirskiy GAU; 2019. 52 p. (In Russ.). EDN: https://elibrary.ru/QHNECP.
2. Ashiev AR, Khabibullin KN, Skulova MV. The Effect of a Vegetation Period on Protein Percentage in Seed of the Pea Collection Samples. Grain Economy Of Russia. 2022;14(6):5-10. (In Russ.). DOI:https://doi.org/10.31367/2079-8725-2022-83-6-5-10. EDN: https://elibrary.ru/PZYONV.
3. Voskobulova N, Vereshagina A, Uraskulov R, et al. M. Amino Acid Composition and Biological Value of Pea Protein Depending on Cultivation Techniques. Animal Husbandry and Fodder Production. 2019;102(3):117-125. (In Russ.). DOI:https://doi.org/10.33284/2658-3135-102-3-117. EDN: https://elibrary.ru/CWXQLW.
4. Dashkevich SM, Mamykin EV, Kradetskaya OO, et al. Pea Grain Quality Depending on Cultivation Technologies and Fertilizer Dose. Herald of Science of S. Seifullin Kazakh Agrotechnical University. 2023. 2 (117). 213-224. (In Russ.). DOI:https://doi.org/10.51452/kazatu.2023.2(117).1398. EDN: https://elibrary.ru/PQWHCB
5. Abdulvaleev RR, Vatrakshina EG, Vatrakshin SN. Izmenenie urozhajnosti goroxa posevnogo sortov Pamyati Xangil`dina i Roket v zavisimosti ot chastej yuzhnogo sklona v usloviyax Predural`ya Respubliki Bashkortostan. In: Mezhdunarodnaya nauchno-prakticheskaya konferenciya “Sovremenny`e tendencii texnologicheskogo razvitiya APK”, posvyashhennaya Desyatiletiyu nauki i texnologij i 300-letiyu Rossijskoj akademii nauk. Izhevsk; 2025. Vol. 1. P. 3-9. (In Russ.).
6. Lysenko AA. Productivity and quality of Grain pea varieties cultivated in the Azov area of the Rostov region depending on hydrothermal factors. Grain economy of Russia. 2020;2(34):13-20. (In Russ.). DOI:https://doi.org/10.24411/2309-348X-2020-11164. EDN: https://elibrary.ru/ENOXWB.
7. Nadezhina NV, Sokolov VA, Mamadnazarbekov AF. Landscape-Adapted Technologies Efficiency of Joint Cultivation of Seedless Leafless Morphotype Peas with Grain Crops in the Upper Volga Region. Agrarian Journal of Upper Volga Region. 2019;4(29):26-39. (In Russ.). DOI:https://doi.org/10.35523/2307-5872-2019-29-4-26-39. EDN: https://elibrary.ru/DFJCJP.
8. Shanthakumar S., Sathish Kumar T., Ilakiya T. et al. Pea Protein: Structure, Extraction, Functional Properties, and Applications. Molecules. 2022;27(16):5354. DOI:https://doi.org/10.3390/molecules27165354.
9. Konieczny D, Winiarska‑Mieczan A, Baranowska‑Wójcik E. Nutritional and functional properties of legume‑based foods. Critical Reviews in Food Science and Nutrition. 2020;60(9):1471-1490. DOI:https://doi.org/10.1080/10408398.2019.1573806.
10. Pakhotina IV, Omelyanyuk LV, Ignatyeva EYu, et al. The Features of Protein Formation in Pea Grain under the Conditions of West Siberia. Bulletin of KSAU. 2020;10(163):60-67. (In Russ.). DOI:https://doi.org/10.36718/1819-4036-2020-10-60-67. EDN: https://elibrary.ru/YMAUHU.
11. Khabibullin KN, Ashiev AR, Skulova MV. The Estimation of the Adaptability of Collection Pea Plants Productivity. Grain Economy of Russia. 2020;1(33-36). (In Russ.). DOI:https://doi.org/10.31367/2079-8725-2020-67-1-33-36. EDN: https://elibrary.ru/XLAAPC.
12. Putina OV, Putin OV, Zhukov VA, et al. Effect Of Additional Inoculation With Rhizobium Leguminosarum On Vegetable Pea Plants // Vegetable Crops Of Russia. 2024. № 4. P. 85-91. (In Russ.). DOI:https://doi.org/10.18619/2072-9146-2024-4-85-91/ EDN: https://elibrary.ru/HUVHCI.
13. Egamberdieva D, Jabborova D, Berg G. Synergistic effects of plant growth-promoting rhizobacteria and microbial consortia on legume growth, nutrient acquisition and stress resilience. Plant and Soil. 2021;461:1-17. DOI:https://doi.org/10.1007/s11104-021-04878-3.
14. Turusov VI, Garmashov VM, Kornilov IM, et al. Productivity And Structure Of The Pea Crop Under Various Methods Of Tillage In The Conditions Of The South-East Of The Central Chernozem Region //Legumes And Groat Crops. 2020. № 2 (34). P. 5-12. (In Russ.) DOI:https://doi.org/10.24411/2309-348X-2020-11163. EDN: https://elibrary.ru/KXWRGR.
15. Shakirzyanova MS. Ecological Plasticity And Stability Of Prospective Pea Lines // Vestnik Of The Kazan State Agrarian University. 2021. Vol. 16. 4 (64). 42-46. (In Russ.). DOI:https://doi.org/10.12737/2073-0462-2022-42-46. EDN: https://elibrary.ru/VUEPQZ
