Skip to main content
Log in

Formalized Assessment of the Progression of Diseases of Sugar Beet Entering the Sugar Production Process Flow

  • PROCESSING
  • Published:
Russian Agricultural Sciences Aims and scope

Abstract

This research was aimed at developing descriptive scoring scales for organoleptic assessment of the progression of sugar beet diseases. Preference was given to a five-point scale associated with a five-point scale of acceptability of the resource consumption level during the processing of sugar beets with various technological qualities. The development of the scale for assessing the progression of diseases included the formation of descriptive characteristics of healthy root crops and root crops with signs of degradation by five levels. The descriptive characteristics are focused on the shape of the root crop and the state of its surface and internal tissue. Depending on the disease progression, the signs of degradation of the superficial tissue were accepted in the following increasing order: the occurrence of small lateral roots on the surface; rough or necrotic areas with a loose and flaking structure; depressed areas of dried necrotic tissue, with various sizes and colors and with different locations, occupying a certain surface area; the appearance of mold; transition of the tissue structure from the dense to the soft and loose state. Signs of the state of the internal tissue were characterized by color transition from white-cream to smoke-white; signs of the state of vessels were characterized by color transition from white or light beige to brown, with the formation of cracks of different sizes and with the appearance of mold, as well as by the formation of differently localized necrotic dark brown tissue areas, occupying a certain surface area; and signs of the tissue structure were characterized by the transition from the dense to soft and loose state. Testing of the developed point scales has shown the convenience of their use and correlation of the scale points characterizing the changes in the root crop with the corresponding levels of the scale of resource consumption by the beet sugar factory. Their combined use makes it possible to give a formalized assessment of the level of disease progression and gain insight on the potential costs of its processing.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

REFERENCES

  1. Fasahat, P., Aghaeezadeh, M., Jabbari, L., et al., Sucrose accumulation in sugar beet: from fodder beet selection to genomic selection, Sugar Tech, 2018, vol. 20, no. 6, pp. 635–644. https://doi.org/10.1007/s12355-018-0617-z

    Article  CAS  Google Scholar 

  2. Ertürk, E. and Ağır, H.B., Yield and quality characteristics, and profitability of some winter-summer sugar beet varieties in Kahramanmaraş conditions, Sugar Tech, 2022, vol. 24, no. 5, pp. 703–716. https://doi.org/10.1007/s12355-021-01049-4

    Article  CAS  Google Scholar 

  3. Stevanato, P., Chiodi, C., Broccanello, C., et al., Sustainability of the sugar beet crop, Sugar Tech, 2019, vol. 21, no. 5, pp. 703–716. https://doi.org/10.1007/s12355-019-00734-9

    Article  CAS  Google Scholar 

  4. Kukharev, O.N., Starostin, I.A., and Semov, I.N., To the question of technological support of breeding and seed production of sugar beet, Vestn. Kazan. Gos. Agrar. Univ., 2019, no. 4, pp. 25–30. https://doi.org/10.12737/2073-0462-2020-25-30

  5. Muir, B.M. and Anderson, A.R., Development and diversification of sugar beet in Europe, Sugar Tech, 2022, vol. 24, no. 4, pp. 992–1009. https://doi.org/10.1007/s12355-021-01036-9

    Article  CAS  Google Scholar 

  6. Gulidova, V.A., Betaseed hybrids productivity under the Lipetsk region conditions, Vestn. Krasnoyarsk. Gos. Agrar. Univ., 2022, no. 5, pp. 43–50. https://doi.org/10.36718/1819-4036-2022-5-43-50

  7. Gippert, A.-L., Madritsch, S., Woryna, P., et al., Unraveling metabolic patterns and molecular mechanisms underlying storability in sugar beet, BMC Plant Biol., 2022, vol. 22, p. 430. https://doi.org/10.1186/s12870-022-03784-6

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  8. Du, J., Song, B., Li, X., et al., Long-term cultivation of sugar beet: effect on rhizosphere micro-flora, soil fertility and beet productivity, Sugar Tech, 2022, vol. 24, no. 6, pp. 1821–1831. https://doi.org/10.1007/s12355-022-01124-4

    Article  CAS  Google Scholar 

  9. Egorova, M.I., Puzanova, L.N., Hlyupina, S.V., et al., Evaluation of technical adequacy of sugar beets for sugar production, Agrar. Nauka, 2018, nos. 7–8, pp. 50–54.

  10. Belyaeva, L.I. and Ozerov, D.V., Technological adequacy of sugar beet, Sakhar, 2007, no. 8, pp. 21–23.

  11. Kusstatscher, P., Cernava, T., Harms, K., et al., Disease incidence in sugar beet fields is correlated with microbial diversity and distinct biological markets, Phytobiomes J., 2019, vol. 3, no. 1, pp. 22–30. https://doi.org/10.1094/PBIOMES-01-19-0008-R

    Article  Google Scholar 

  12. Golybin, V.A., Fedoruk, V.A., Matvienko, N.A., et al., Efficiency of low-quality beet processing, Vestn. Voronezh. Gos. Univ. Inzh. Tekhnol., 2018, vol. 80, no. 2, pp. 206–210. https://doi.org/10.20914/2310-1202-2018-2-206-210

    Article  Google Scholar 

  13. Wright, M., Microbiology in the sugar industries, Sugar Ind., 2018, vol. 143, no. 2, pp. 83–87. https://doi.org/10.36961/si19224

    Article  Google Scholar 

  14. Bergwall, Ch., New microbiological challenges for the sugar industry with focus on thermophilic acidophilic bacteria, Sugar Ind., 2018, vol. 143, no. 1, pp. 28–32. https://doi.org/10.36961/si19117

    Article  Google Scholar 

  15. Chernyavskaya, L.I., Kukhar, V.N., and Chernyav-sky, A.P., Efficiency of sugar production depending on the technological qualities of beet, Cukor Ukr., 2016, nos. 8–9, pp. 44–50.

  16. Egorova, M.I., Puzanova, L.N., and Smirnova, L.Yu., Development of methodological aspects of identification of sugar beet diseases when arriving into a technological stream for producing sugar, Khranenie Pererab. Selʼhozsyrʼya, 2020, no. 3, pp. 134–148. https://doi.org/10.36107/spfp.2020.321

  17. Cheshkova, A.F., A review of modern hyperspectral image analysis techniques for plant disease detection and identification, Vavilovskii Zh. Genet. Sel., 2022, vol. 26, no. 2, pp. 202–213. https://doi.org/10.18699/VJGB-22-25

    Article  CAS  Google Scholar 

  18. Fedyanina, N.I., Karastoyanova, O.V., and Korovkina, N.V., Methods for determining colour characteristics of plant raw materials. A review, Pishch. Sist., 2021, vol. 4, no. 4, pp. 230–238. https://doi.org/10.21323/2618-9771-2021-4-4-230-238

    Article  Google Scholar 

  19. Yurova, E.A. and Kobzeva, T.V., Application of the sensory evaluation method when using the accelerated storage technique, Pishch. Prom-st., 2021, no. 8, pp. 15–17. https://doi.org/10.52653/PPI.2021.8.8.003

  20. Vivek, K., Subbarao, K.V., Routray, W., et al., Application of fuzzy logic in sensory evaluation of food products: a comprehensive study, Food Bioprocess Technol., 2020, vol. 13, no. 1, pp. 1–29. https://doi.org/10.1007/s11947-019-02337-4

    Article  Google Scholar 

  21. Reznichenko, I.Yu., Shafray, A.V., Donchenko, N.A., et al., Ranking of sensory characteristics of food products using neural networks, Pishch. Prom-st., 2023, no. 3, pp. 97–101. https://doi.org/10.52653/PPI.2023.3.3.020

  22. Posokina, N.E., Bessarab, O.V., and Karastoyanova, O.V., Application of sensory methods for assessing the quality and technological properties of plant raw materials, Pishch. Prom-st., 2022, no. 12, pp. 82–86. https://doi.org/10.52653/PPI.2022.12.12.017

  23. Kopytko, M.S., Zoloyin, A.Yu., Simonenko, S.V., et al., Method of organoleptic evaluation of food products, Pishch. Prom-st., 2022, no. 11, pp. 93–95. https://doi.org/10.52653/PPI.2022.11.11.021

  24. Glebova, S.Yu., Golub, O.V., and Zavorokhina, N.V., Development of a scoring scale for the organoleptic evaluation of the quality of vegetable sauces, Pishch. Prom-st., 2018, no. 2, pp. 20–23.

  25. Glebova, S.Yu., Zavorokhina, N.V., and Golub, O.V., Development of a descriptive point scale for sensory evaluation of frozen vegetables, Pishch. Prom-st., 2019, no. 3, pp. 26–29.

  26. Apasov, I.V., Putilina, L.N., and Selivanova, G.A., Modification of technological quality of sugar beet, affected vascular bacteriosis, Sakhar, 2014, no. 6, pp. 35–38.

  27. Egorova, M.I., Puzanova, L.N., and Smirnova, L.Yu., Development of descriptors for organoleptic evaluation of sugar beet with disease identification, Dostizh. Nauki Tekh. APK, 2020, no. 1, pp. 56–61. https://doi.org/10.24411/0235-2451-2020-10111

  28. Ruban, N.Yu. and Reznichenko, I.Yu., Descriptive analysis of sensory profiling of a new product for herodietic nutrition, Pishch. Prom-st., 2022, no. 2, pp. 16–19. https://doi.org/10.52653/PPI.2022.2.2.003

  29. Matveeva, T.A., Reznichenko, I.Yu., and Melnikova, A.A., Quality research with application of descriptor-profile ranking and analysis of consumer properties of canned dairy, Polzunovskiy Vestn., 2021, no. 1, pp. 99–105. https://doi.org/10.25712/ASTU.2072-8921.2021.01.013

  30. Shamin, A.A. and Stognienko, O.I., Changes in the structure of the complex of soil microscopic fungi of sugar beet agrocenosis on leached chernozem, Biosfera, 2022, vol. 14, no. 4, pp. 422–427. https://doi.org/10.24855/biosfera.v14i4.696

    Article  Google Scholar 

  31. Gerr, E.S. and Stognienko, O.I., Sugar beet rot associated with damage by mining phytophages, Biosfera, 2022, vol. 14, no. 4, pp. 295–299. https://doi.org/10.24855/biosfera.v14i4.696

    Article  Google Scholar 

  32. Selivanova, G.A., Diseases of sugar beet under the conditions of growing technology intensification of the culture, Zemledelie, 2013, no. 4, pp. 31–35.

  33. Liebe, S. and Varrelmann, M., Bedeutung von faulniserregern fur die lagerung von zuckerruben und mogliche kontrollmabnahmen, Sugar Ind., 2014, vol. 139, no. 7, pp. 443–452. https://doi.org/10.36961/si15702

    Article  Google Scholar 

  34. Korobova, L.A. and Kulneva, N.G., Predicting the development of clamp rot of sugar beet depending on the parameters of the environment, Khranenie Pererab. Sel’hozsyr’ya, 2020, no. 4, pp. 79–88. https://doi.org/10.36107/spfp.2020.344

Download references

Funding

This work was supported by ongoing institutional funding. No additional grants to carry out or direct this particular research were obtained.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to M. I. Egorova.

Ethics declarations

ETHICS APPROVAL AND CONSENT TO PARTICIPATE

This work does not contain any studies involving human and animal subjects.

CONFLICT OF INTEREST

The authors of this work declare that they have no conflicts of interest.

Additional information

Translated by D. Zabolotny

Publisher’s Note.

Allerton Press remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Egorova, M.I., Smirnova, L.Y., Puzanova, L.N. et al. Formalized Assessment of the Progression of Diseases of Sugar Beet Entering the Sugar Production Process Flow. Russ. Agricult. Sci. 49 (Suppl 2), S363–S372 (2023). https://doi.org/10.3103/S1068367423080050

Download citation

  • Received:

  • Revised:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.3103/S1068367423080050

Keywords:

Navigation