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This article is cited in 4 scientific papers (total in 4 papers)
Physics for sciences of life
Microfocus X-ray method for detecting hidden defects in seeds of woody forest species and other types of vascular plants
M. V. Arkhipovab, N. S. Priyatkina, L. P. Gusakovaa, A. V. Karamyshevac, L. P. Trofimukd, N. N. Potrakhove, V. B. Bessonove, P. A. Shchukinaa a Agrophysical Research Institute, St. Petersburg
b Northwest Center for Interdisciplinary Food Supply Problems, St. Petersburg
c Komarov Botanical Institute of the Russian Academy of Sciences
d Scientific Experimental Station Otradnoe, Komarov Botanical Institute Russian Academy of Sciences, Plodovoe, Leningrad oblast
e Saint Petersburg Electrotechnical University "LETI"
Abstract:
Modern hardware solutions used to obtain digital X-ray images of seeds are characterized. The main visualization methods and techniques for analyzing digital X-ray images of seeds are described. We revealed and assessed hidden defects of seed samples of the studied species such as Siberian cedar pine ( Pinus sibirica Du Tour), Korean cedar pine (P. koraiensis Siebold & Zucc.), sugar corn (Zea mays L.), cucumber
(Cucumis sativum L.), and pepper (Capsicum annuum L.) by microfocus X-ray radiography in combination with automatic analysis of digital X-ray images. Empty-grain and partially full-grain seeds have lower values of the “average brightness” of X-ray diffraction patterns. A comparative assessment of X-ray indicators and germination capacity of seedlings as integrated indicators for assessing the biological usefulness of seeds is performed.
Received: 30.04.2019 Revised: 30.04.2019 Accepted: 29.06.2019
Citation:
M. V. Arkhipov, N. S. Priyatkin, L. P. Gusakova, A. V. Karamysheva, L. P. Trofimuk, N. N. Potrakhov, V. B. Bessonov, P. A. Shchukina, “Microfocus X-ray method for detecting hidden defects in seeds of woody forest species and other types of vascular plants”, Zhurnal Tekhnicheskoi Fiziki, 90:2 (2020), 338–346; Tech. Phys., 65:2 (2020), 324–332
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https://www.mathnet.ru/eng/jtf5397 https://www.mathnet.ru/eng/jtf/v90/i2/p338
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