The study of the correlation between productivity and biochemical parameters of soybean
https://doi.org/10.31367/2079-8725-2023-86-3-14-20
Abstract
The purpose of the current study was to identify the correlation between seed productivity and quality indicators of the soybean collection samples. The study was carried out in the fields of the FSBSI “ARC “Donskoy” in 2019–2021. Over the years of study, the weather conditions were unstable and differed from the long-term mean data. The objects of research were 85 soybean samples from the world collection of the N. I. Vavilov Institute. The study has established that the most variable trait was productivity (V = 45.4 %) than protein (V = 6.4 %) and oil percentage in seeds (V = 9.7 %). The correlation between productivity and seed quality was weak and amounted to r = –0.24 with protein and r = 0.29 with oil content. The correlation between protein and oil content was higher and amounted to r = –0.51. Span charting showed that the bulk of soybean collection samples had a mean protein percentage of 40.5–43.0 %, and the most productive samples had 39.0–39.5 % of protein. The predominant part of the collection had an oil content in seeds from 19.0 to 21.5 %, which also included samples with maximum seed productivity and 19.0–19.5 % of oil. Against the background of the established negative correlation between protein and oil content in seeds, there were found the samples with a very high content of protein and oil in seeds at the same time. There were selected three soybean collection samples (‘Zodiak’ (Moldova), ‘Selekta-101’ (Russia) and ‘Antuxiaoneidou’ (China), which had large productivity a high content of protein and oil in seeds. The study results of the correlation between seed productivity and quality indicators of the soybean collection samples will be used in further breeding work.
About the Authors
A. R. Ashiev
FSBSI Agricultural Research Center “Donskoy”
Russian Federation
Russian Federation
Candidate of Agricultural Sciences, leading researcher of the laboratory for legumes breeding and seed production
347740, Rostov region, Zernograd, Nauchny Gorodok Str., 3
e-mail: vniizk30@mail.ru
K. N. Khabibullin
FSBSI Agricultural Research Center “Donskoy”
Russian Federation
Russian Federation
junior researcher of the laboratory for legumes breeding and seed production
347740, Rostov region, Zernograd, Nauchny Gorodok Str., 3
e-mail: vniizk30@mail.ru
M. V. Skulova
FSBSI Agricultural Research Center “Donskoy”
Russian Federation
Russian Federation
agronomist of the laboratory for legumes breeding and seed production
347740, Rostov region, Zernograd, Nauchny Gorodok Str., 3
e-mail: vniizk30@mail.ru
References
1. Butovets E. S., Vasina E. A., Luk'yanchuk L. M. Skrining germoplazmy soi v usloviyakh Primorskogo kraya [Screening of soybean germplasm in the Primorsky Krai] // Dostizheniya nauki i tekhniki APK. 2020. T. 34, № 8. S. 23–27. DOI: 10.24411/0235-2451-2020-10803.
2. Novikova L. Yu., Seferova I. V., Nekrasov A. Yu. i dr. Vliyanie pogodno-klimaticheskikh uslovii na soderzhanie belka i masla v semenakh soi na Severnom Kavkaze [Effect of weather and climatic conditions on the content of protein and oil in soybean seeds in the North Caucasus] // Vavilovskii zhurnal genetiki i selektsii. 2018. № 22(6). S. 708–715. DOI: 10.18699/VJ18.414.
3. Kipshakbaeva G. A., Amantaev B. O., Tleulina Z. T., Zhanbyrshina N. Zh., Kul'zhabaev E. M. Izuchenie i sozdanie iskhodnogo materiala soi v usloviyakh Severnogo Kazakhstana [Study and development of soybean initial material in the conditions of Northern Kazakhstan] // Agrarnyi vestnik Urala. 2022. № 02(217). S. 40–47. DOI: 10.32417/1997-4868-2022-217-02-40-47.
4. Vishnyakova M. A., Seferova I. V., Samsonova M. G. Trebovaniya k iskhodnomu materialu dlya selektsii soi v kontekste sovremennykh biotekhnologii (obzor) [Requirements for the initial material for soybean breeding in the context of modern biotechnologies (review)] // Sel'skokhozyaistvennaya biologiya. 2017. T. 52, № 5. S. 905–916. DOI: 10.15389/agrobiology.2017.5.905rus.
5. Fedorina Ya. V., Khlestkina E. K., Seferova I. V., Vishnyakova M. A. Molekulyarno-geneticheskie mekhanizmy, lezhashchie v osnove prodvizheniya areala vozdelyvaniya soi k severu [Molecular genetic mechanisms underlying the northward expansion of the soybean cultivation area] // Ekologicheskaya genetika. 2022. T. 20, № 1. S. 13–30. DOI: 10.17816/ecogen83879.
6. Fokina E. M., Titov S. A., Razantsvei D. R. Agroekologicheskaya otsenka perspektivnykh obraztsov soi [Agro-ecological estimation of promising samples of soybeans] // Dostizheniya nauki i tekhniki APK. 2019. T. 33, № 7. S. 21–23. DOI: 10.24411/0235-2451-2019-10705.
7. Shepel' O. L., Aseeva T. A., Zvolimbovskaya M. P. Zavisimost' khozyaistvenno-biologicheskikh priznakov soi ot gidrotermicheskikh uslovii Srednego Priamur'ya [Dependence of the economic and biological traits of soybean on the hydrothermal conditions of the Middle Amur region] // Dostizheniya nauki i tekhniki APK. 2020. T. 34, № 8. S. 16–22. DOI: 10.24411/0235-2451-2020-10802.
8. Fang C., Ma Y., Wu S., Liu Z., Wang Z., Yang R., Hu G., Zhou Z., Yu H., Zhang M., Pan Y., Zhou G., Ren H., Du W., Yan H., Wang Y., Han D., Shen Y., Liu S., Liu T., Zhang J., Qin H., Yuan J., Yuan X., Kong F., Liu B., Li J., Zhang Z., Wang G., Zhu B., Tian Z. Genome-wide association studies dissect the genetic networks underlying agronomical traits in soybean // Genome Biol. 2017. Р. 161–165. DOI: 10.1186/s13059-017-1289-9.
9. Stobaugh B., Florez-Palacios L., Chen P., Orazaly M. Agronomic evaluation of high-protein and high-oil soybean genotypes for specialty markets // Journal of Crop Improvement. 2017. Vol. 31(2), P. 247–260. DOI: 10.1080/15427528.2017.1287807.
Review
For citations:
Ashiev A.R., Khabibullin K.N., Skulova M.V. The study of the correlation between productivity and biochemical parameters of soybean. Grain Economy of Russia. 2023;(3):14-20. (In Russ.) https://doi.org/10.31367/2079-8725-2023-86-3-14-20
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