Evaluation of different lines of vegetable soybean Glycine max L. Merr. under conditions of the Moscow region
- Authors: Mullo Panoluisa F.E.1, Semenova N.A.1, Romanova E.V.1
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Affiliations:
- RUDN University
- Issue: Vol 18, No 4 (2023): Pesticides. Looking to the future
- Pages: 531-540
- Section: Crop production
- URL: https://agrojournal.rudn.ru/agronomy/article/view/19955
- DOI: https://doi.org/10.22363/2312-797X-2023-18-4-531-540
- EDN: https://elibrary.ru/LQOTQG
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Abstract
Edamame is a special soybean ( Glycine max (L.) Merr .) harvested as a vegetable when the seeds are immature (R6 and R7 stage) and have expanded to fill 80 to 90 percent of the pod width. The study was conducted in the experimental field of Federal Scientific Vegetable Center in the Moscow Region in 2020-2022 and Agro-biotechnological department, Agrarian and Technological Institute, RUDN University. The object of research was 3 accessions of soybean ( Glycine max L.): accession A, accession F, Hidaka and Lira. Before sowing, soybean seeds were inoculated with Optimays 400 ( Bradyrhizobium japonicum ) and Biobesta ( Sinorhizobium fredii ). In the field experiment, 10 soybean samples were taken from each plot at the stage of biological ripeness to determine plant height (cm), number of pods per plant, number of stems per plant, stem width (mm), average number of seeds per plant, weight of 1000 seeds (g) and yield (t/ha). The experiment was designed in a complete random block with a factorial arrangement. Thus, we had 4 accessions and 3 treatments (C - control, V1 - Bradyrhizobium japonicum and V2 - Sinorhizobium fredii ) with 3 replacations. The study showed that accession A had the highest average yield per hectare (2.70 t/ha) and weight of 1000 seeds (159 g). Under conditions of the Moscow region, variant V2 ( Sinorhizobium fredii ) had the highest average yield (2.57 t/ha) and weight of 1000 seeds (100.25 g). Therefore, more than 90 % of the results obtained for these two indicators are associated with the use of V2 treatment. For the rest of the studied indicators, no significant differences were found, and they did not affect the efficiency indicators. The combination of accession A and treatment V2 led to the highest average yield (2.99 t/ha). The product based on Sinorhizobium fredii showed the best indicators for all the studied samples.
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Table 1. Biometric indicators and yield of soybean depending on variety (average for 2020–2022)
Variety | Plant height, cm | Attachment height of the lower bean, cm | Number of beans per plant | Number of stems per plant | Stem width, mm | 1000‑seed weight, g | Number of seeds per plant | Yield, t/ha |
Accession А | 61.92 | 9.27 | 36.2 | 3.43 | 9.83 | 159 | 95.83 | 2.70 |
Accession F | 67.59 | 10.71 | 37.17 | 3.48 | 9.22 | 148.17 | 95.17 | 2.49 |
Hidaka | 69.89 | 13.33 | 34.84 | 3.73 | 7.77 | 138.83 | 92 | 2.21 |
Lira | 83.75 | 15.75 | 36.08 | 3.31 | 6.00 | 110.83 | 102.5 | 1.92 |
LSD05 | 10.1 | 0.48 | 1.69 | 0.32 | 0.47 | 5.75 | 3.48 | 0.15 |
Table 2. Soybean yield and biometric indicators depending on the treatment (average for 2020–2022)
Variant | Plant height, cm | Attachment height of the lower bean, cm | Number of beans per plant | Number of stems per plant | Stem width, mm | 1000‑seed weight, g | Number of seeds per plant | Yield, t/ha |
Control | 71.18 | 12.53 | 36.06 | 3.31 | 8.08 | 137.5 | 92.75 | 2.13 |
Bradyrhizobium japonicum | 71.98 | 11.84 | 36.64 | 3.47 | 8.02 | 147.88 | 96.13 | 2.29 |
Sinorhizobium fredii | 69.19 | 12.42 | 35.53 | 3.68 | 8.51 | 132.25 | 100.25 | 2.57 |
LSD05 | 8.74 | 0.41 | 1.46 | 0.28 | 0.41 | 4.98 | 3.013 | 0.12 |
Influence of treatments on soybean yield depending on the variety, average for 2020–2022: B1 — Bradyrhizobium japonicum; B2 — Sinorhizobium fredii; K — control
Source: made by the authors
About the authors
Freddy E. Mullo Panoluisa
RUDN University
Author for correspondence.
Email: mulyo_panoluisa_f@rudn.ru
ORCID iD: 0000-0002-5312-3800
PhD student, Agrobiotechnological Department, Agrarian and Technological Institute
8/2 Miklukho-Maklaya st., Moscow, 117198, Russian FederationNatalia A. Semenova
RUDN University
Email: semenova-na@rudn.ru
ORCID iD: 0000-0001-9638-6857
Candidate of Philological Sciences, Associate Professor, Department of Russian Language No. 3, Institute of Russian Language
8/2 Miklukho-Maklaya st., Moscow, 117198, Russian FederationElena V. Romanova
RUDN University
Email: Romanova-ev@rudn.ru
ORCID iD: 0000-0002-8287-5462
Candidate of Agricultural Sciences, Associate Professor, Agrobiotechnological Department, Agrarian and Technological Institute
8/2 Miklukho-Maklaya st., Moscow, 117198, Russian FederationReferences
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