Preview

Grain Economy of Russia

Advanced search

Study of collection soybean material in the Rostov region

https://doi.org/10.31367/2079-8725-2025-97-2-46-51

Abstract

The current paper has presented the study results of soybean varieties of different ecological and geographical origin to use them as sources of high productivity in breeding. The purpose of the study was to estimate economically valuable traits of collection soybean samples. The study was conducted on the experimental plot of the laboratory for breeding and seed production of grain legumes of the FSBSI “ARC “Donskoy” in 2021–2023. The material for the study was 10 soybean samples from the ARIPGR collection. The zoned variety ‘Donskaya 9’ was sown as a standard. During the study, there were identified such sources of early maturity as the soybean samples ‘Selekta 201’ and ‘SK 82’, with a short vegetation period (108 and 104 days), which was 3–7 days less than that of the standard variety ‘Donskaya 9’. The variety ‘Selecta 201’ (65.4 cm) was the best in terms of plant height. Some samples showed a reliable productivity increase compared to the standard ‘Donskaya 9’, such as ‘Kyoto’ with 1.39 t/ha, ‘Kleopatra’ with 1.38 t/ha, ‘Zelda’ with 1.37 t/ha, ‘Selekta-201’ with 1.36 t/ha and ‘Emperor’ with 1.29 t/ha. The conducted correlation analysis showed a close correlation between productivity and 1000-seed weight (r = 0.81±0.05), a mean positive correlation with height of a lower bean attachment (r = 0.61±0.05), seed weight per one plant (r = 0.44±0.05) and an inverse correlation with a number of productive stems (r = -0.39±0.05), a weak correlation with a vegetation period (r = 0.30±0.5) and a number of productive beans (r = 0.19±0.05). The identified soybean varieties can be recommended as an initial material for the development of highly productive varieties that meet production requirements.

About the Authors

K. N. Khabibullin
FSBSI Agricultural Research Center “Donskoy”
Russian Federation

Candidate of Agricultural Sciences, junior researcher of the laboratory for legumes breeding and seed production.

347740, Rostov region, Zernograd, Nauchny Gorodok Str., 3



V. S. Gaze
Azov-Blacksea Engineering Institute, branch of the FSBEI HE “Donskoy State Agricultural University”
Russian Federation

Master’s Degree student of the department of agronomy and breeding of the agricultural crops.

347740, Rostov region, Zernograd, Lenin Str., 21

Tel.: 8(909) 407-30-82



E. K. Kuvshinova
Azov-Blacksea Engineering Institute, branch of the FSBEI HE “Donskoy State Agricultural University”
Russian Federation

Candidate of Agricultural Sciences, associate professor of the department of agronomy and breeding of the agricultural crops.

347740, Rostov region, Zernograd, Lenin Str., 21

Tel.: 8(909) 407-30-82



A. R. Ashiev
LLC EkoNiva-Semena
Russian Federation

Candidate of Agricultural Sciences, agronomist-breeder.

306513, Kursk region, Shchigrovsky district, v. of Zashchitnoye



References

1. Ashiev A. R., Skulova M. V., Chegunova A. V. Gomeostatichnost' kollektsionnykh obraztsov soi po priznaku «massa semyan s odnogo rasteniya» [Homeostaticity of soybean collection samples according to the trait ‘seed weight per plant’] // Zernovoe khozyaistvo Rossii. 2020. № 5(71). S. 68–72. DOI: 10.31367/2079-8725-2020-71-5-68-72

2. Gureeva E. V., Solodyagina A. V. Otsenka sortov soi mirovoi kollektsii v usloviyakh Tsentral'nogo Nechernozem'ya po priznaku «massa semyan s odnogo rasteniya» [Estimation of soybean varieties of the world collection in the conditions of the Central Non-Blackearth region according to the trait ‘seed weight per plant’] // Zernovoe khozyaistvo Rossii. 2024. T. 16, № 2. S. 62–66. DOI: 10.31367/2079-8725-2024-91-2-62-66.

3. Dospekhov B. A. Metodika polevogo opyta (s osnovami statisticheskoi obrabotki rezul'tatov issledovanii) [Methodology of a field trial (with the basics of statistical processing of the study results)]: 5-e izd., dop. i pererab. M.: Kniga po trebovaniyu, 2014. 352 s.

4. Dushko O. S. Otsenka biologicheskoi urozhainosti sortov soi razlichnogo geneticheskogo proiskhozhdeniya v usloviyakh Priamur'ya [Estimation of biological productivity of soybean varieties of different genetic origin in the Amur Region] // Agronauka. 2023. T. 1, № 1. C. 7–13.

5. Metodika gosudarstvennogo sortoispytaniya sel'skokhozyaistvennykh kul'tur [Methodology of the State Variety Testing of agricultural crops]. M.: Kolos, 2019. 250 s.

6. Murav'ev A. A. Struktura produktivnosti sortov soi v zavisimosti ot uslovii vegetatsii [The structure of productivity of soybean varieties depending on vegetation conditions] // Innovatsii v APK: problemy i perspektivy. 2021. № 1(29). S. 122–128.

7. Tevchenkov A. A., Fedorova Z. S. Otsenka prigodnosti razlichnykh sortov soi k vozdelyvaniyu v usloviyakh Tsentral'nogo raiona Nechernozem'ya RF [Estimation of the suitability of different soybean varieties for cultivation in the Central region of the Non-Blackearth region of the Russian Federation] // Agrarnaya nauka Evro-Severo-Vostoka. 2022. № 23(6). S. 796–804. DOI: 10.30766/2072-9081.2022.23.6.796-804

8. Fedotov V. A., Makarova N. A., Nekrasova T. P., Podlesnykh N. V. Urozhai i kachestvo zernoproduktsii soi v zavisimosti ot udobrenii i norm vyseva semyan [Productivity and quality of soybean grain production depending on fertilizers and seeding rates] // Agrarnaya nauka. 2017. № 9–10. S. 20–23.

9. Khramoi V. K., Sikharulidze T. D., Rakhimova O. V., Kirichenko A. A. Vliyanie srokov poseva na formirovanie urozhaya semyan soi v usloviyakh Tsentral'nogo raiona Nechernozemnoi zony [The effect of sowing dates on the formation of the soybean seed productivity in the Central region of the Non-Blackearth region] // Agrarnaya nauka. 2022. № 6. S. 66–69. DOI: 10.32634/0869-8155-2022-360-6-66-69


Review

For citations:


Khabibullin K.N., Gaze V.S., Kuvshinova E.K., Ashiev A.R. Study of collection soybean material in the Rostov region. Grain Economy of Russia. 2025;17(2):46-51. (In Russ.) https://doi.org/10.31367/2079-8725-2025-97-2-46-51

Views: 86


Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 License.


ISSN 2079-8725 (Print)
ISSN 2079-8733 (Online)