Preview

Plant Biology and Horticulture: theory, innovation

Advanced search

Development of computer program for automatic X-ray analysis of quality of vegetable seeds

https://doi.org/10.36305/2712-7788-2021-3-160-86-95

Abstract

Traditional morphometric methods of seed quality analysis, although they are accurate, are less informative, labor-intensive and long-term in execution. In modern conditions, in seed science and seed control, the use of more informative and high-speed instrumental methods is required. The method of microfocus X-ray of seeds is one of them, it allows you to visualize the internal structure of seeds. In the joint work of employees of the Federal Scientific Vegetable Center, Agrophysical Research Institute and St. Petersburg State Electrotechnical University, Research Institute for Storage Problems of "Rosrezerv", a method of X-ray analysis of the quality of vegetable seeds was developed and tested. Currently, programming, automation of this method is underway. The method of digital analysis of X-ray images in automatic mode comes as a replacement for the previously applied visual analysis of seed radiographs. A modernized software and hardware complex was developed and tested, a program algorithm was compiled, consisting of several stages. As a result, the quality analysis of seeds is significantly accelerated by visualizing their internal structure. The newly developed computer program "Sortsemkontrol-2" recognizes seeds according to the following qualitative indicators: full-value, underdevelopment, undevelopment, monstrous. The analysis results are automatically reported as a log. The fractional analysis of the seed batch is also carried out, the dimensional characteristic of each fraction is given, according to the two largest adjacent fractions, the equalization of the seed batch is determined. Fractional analysis of a batch of seeds is of great practical importance for pre-production of seeds. In the future, the application of the computer program "Sortsemkontrol-2" will provide an accelerated, at the same time informative analysis of the quality of seeds, which is very important in the conditions of commercialization of seed turnover.

About the Authors

F. B. Musaev
ФГБНУ «Федеральный научный центр овощеводства»
Russian Federation


S. L. Beletskiy
ФГБУ «Научно-исследовательский институт проблем хранения Росрезерва»
Russian Federation


N. N. Potrakhov
ФГАОУ ВО «Санкт-Петербургский государственный электротехнический университет им. В.И. Ульянова (Ленина)»
Russian Federation


References

1. Архипов М.В., Потрахов Н.Н. Микрофокусная рентгенография семян в селекции, семеноводстве и защите растений // IV Лужские научные чтения. Современное научное знание: теория и практика. Материалы международной научно-практической конференции. 2016. С. 53-55.

2. Бухаров А.Ф., Балеев Д.Н., Иванова М.И., Бухарова А.Р., Фефелов Ф.О., Разин О.А., Разин А.Ф. Линейные размеры морфологических элементов семени укропа как показатели разнокачественности //Аграрный научный журнал. 2018. № 11. С. 3-7.

3. Желудков А.Г., Белецкий С.Л., Потрахов Н.Н. Комплексное решение задач автоматизации рентгенографического метода анализа качества семян и зерна злаковых культур // Хлебопродукты. 2016. № 5. С. 58-61.

4. Курбанов М.Р. Рентгенография семян с увеличенным изображением // Бюллетень ГБС АН СССР. 1984. Вып. 133. С. 97-101.

5. Мусаев Ф.Б., Антошкина М.С., Архипов М.В., Великанов Л.П. Рентгенографический анализ качества семян овощных культур: Методические указания. М.-СПб., 2015. 42 с.

6. Мусаев Ф.Б. Научно-практические аспекты совершенствования контроля качества семян овощных культур. Диссертация на соискание ученой степени доктора сельскохозяйственных наук / ФБГНУ ФНЦО, п. ВНИИССОК Одинцовского района Московской области, 2018. 479 с.

7. Потрахов Н.Н., Белецкий С.Л., Архипов М.В. Аппаратно-программный комплекс для контроля качества зерна на основе передвижной рентгенодиагностической установки ПРДУ-02 // Таврический вестник аграрной науки. 2018. № 4 (16). С. 152-159.

8. Ткаченко К.Г., Староверов Н.Е., Варфоломеева Е.А., Капелян А.И., Грязнов А.Ю. Рентгенографический метод контроля качества орешков видов рода Rosa L. интродуцированных в ботаническом саду Петра Великого // Бюллетень Ботанического сада-института ДВО РАН. 2019. № 21. С. 39-57.

9. Ткаченко К.Г., Староверов Н.Е., Грязнов А.Ю. Рентгенографическое изучение качества плодов и семян // Hortus Botanicus. 2018. Т. 13. С. 52-66.

10. Baskin J.M., Lu J.J., Baskin C.C., Tan D.Y. The necessity for testing germination of fresh seeds in studies on diaspore heteromorphism as a life-history strategy // Seed Science Research. 2013. Vol. 23 (Iss. 2). Р. 83-88.

11. Bino R.J., Aartse J.W., Van Der Burg W.J. Nondestructive X-ray of Arabidopsis embryo mutants // Seed Science Research. 1993. № 3. Р. 167-1.

12. Bruggink H., Duijn van А. X-ray based seed analysis / Seed Testing International: ISTA News Bulletin. 2017. Vol. 153. Р. 45-50.

13. Demyanchuk A., Grundas S., Velikanov L. Identification of Wheat Morphotype and Variety Based on X-Ray Images of Kernels // Advances in Agrophysical Research. 2013. Ch. 10. P. 223-267.

14. Grundas S., Velikanov L., Arkhipov V. Importance of wheat grain orientation for the detection of internal mechanical damage by the X-ray method // Int. Agrophysics. 1999. No 13. P. 355-361

15. Narvankar D.S., Singh C.B., Jayas D.S., White N.D.G. Assessment of soft X-ray imaging for detection of fungal infection in wheat // Biosystems engineering. 2009. Vol. 103 (1). P. 49-56.

16. Pinto T.L.F., Cicero S.M., França-Neto J.B., Forti V.A. An assessment of mechanical and stink bug damage in soybean seed using X-ray analysis test // SeedSci. & Technol. 2009. Vol. 37. P. 110-120.

17. Porsch F. Automated seed testing by 3D X-ray computed tomography// Seed Science and Technology. 2020. Vol. 48, No 1. P. 73-8.

18. Simak M., GustaffsonА. Х-rays photography and sensibility in forest tree species // Hereditas. 1953. Vol. 39, No 4. P. 458-4.

19. Venudevan B., Srimath P. Influence of seed polymorphism on physical, physiological and biochemical seed quality characters of endangered medicinal tree Bael (Aegle marmelos (L.) corr.) // Sci. Res. Essays. 2013. Vol. 8 (30). P. 1413-1419.


Review

For citations:


Musaev F.B., Beletskiy S.L., Potrakhov N.N. Development of computer program for automatic X-ray analysis of quality of vegetable seeds. Plant Biology and Horticulture: theory, innovation. 2021;(160):86-95. (In Russ.) https://doi.org/10.36305/2712-7788-2021-3-160-86-95

Views: 299


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


ISSN 2712-7788 (Print)