20.500.12556/DKUM-66305 The use of image-spectroscopy technology as a diagnostic method for seed health test and variety identification Application of rapid and time-efficient health diagnostic and identification technology in the seed industry chain could accelerate required analysis, characteristic description and also ultimately availability of new desired varieties. The aim of the study was to evaluate the potential of multispectral imaging and single kernel near-infrared spectroscopy (SKNIR) for determination of seed health and variety separation of winter wheat (Triticum aestivum L.) and winter triticale (Triticosecale Wittm. & Camus). The analysis, carried out in autumn 2013 at AU-Flakkebjerg, Denmark, included nine winter triticale varieties and 27 wheat varieties provided by the Faculty of Agriculture and Life Sciences Maribor, Slovenia. Fusarium sp. and black point disease-infected parts of the seed surface could successfully be distinguished from uninfected parts with use of a multispectral imaging device (405%970 nm wavelengths). SKNIR was applied in this research to differentiate all 36 involved varieties based on spectral differences due to variation in the chemical composition. The study produced an interesting result of successful distinguishing between the infected and uninfected parts of the seed surface. Furthermore, the study was able to distinguish between varieties. Together these components could be used in further studies for the development of a sorting model by combining data from multispectral imaging and SKNIR for identifying disease(s) and varieties. Fusarium sp. SKNIR multispectral imaging varieties wheat organic farming Fusarium sp. SKNIR večspektralno prikazovanje multispektralno prikazovanje pšenica ekološko kmetijstvo true false true Angleški jezik Slovenski jezik Znanstveno delo 2017-06-19 13:42:25 2017-06-19 13:43:22 2022-07-11 03:06:10 2019-07-11 15:42:58 2016 0 0 str. 1-10 št. 3 Letn. 11 2016 0000-00-00 Zaloznikova Objavljeno NiDoloceno 0000-00-00 0000-00-00 0000-00-00 1932-6203 633.11:631.147 2005896 4131884 10.1371/journal.pone.0152011 1932-6203 URN:SI:UM:DK:LBQUTB3H PLOS_ONE_2016_Vresak_et_al._The_Use_of_Image-Spectroscopy_Technology_as_a_Diagnostic_Method_for_Seed_Health_Testing_and_Variety_Identifi.PDF PLOS_ONE_2016_Vresak_et_al._The_Use_of_Image-Spectroscopy_Technology_as_a_Diagnostic_Method_for_Seed_Health_Testing_and_Variety_Identifi.PDF 1 3C5794A18A784706DFC3A411008D8D9D 2ea829a1ce52309e9dbfecd79876bd7264a24cc4d6ae15d87d99f53b0d631237 44235276-7c0e-11eb-bb7a-00155d0001ca https://dk.um.si/Dokument.php?lang=slv&id=112794 http://dx.plos.org/10.1371/journal.pone.0152011 1 https://dk.um.si/Dokument.php?lang=slv&id=112793 Fakulteta za kmetijstvo in biosistemske vede 0 0 0