Martina Vrešak (Author), Halkjaer Olesen (Author), René Gislum (Author), Franc Bavec (Author), Ravn Jørgensen (Author)

Abstract

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.

Keywords

Fusarium sp.;SKNIR;multispectral imaging;varieties;wheat;organic farming;

Data

Language: English
Year of publishing:
Typology: 1.01 - Original Scientific Article
Organization: UM FKBV - Faculty of Agriculture
UDC: 633.11:631.147
COBISS: 4131884 Link will open in a new window
ISSN: 1932-6203
Views: 875
Downloads: 155
Average score: 0 (0 votes)
Metadata: JSON JSON-RDF JSON-LD TURTLE N-TRIPLES XML RDFA MICRODATA DC-XML DC-RDF RDF

Other data

Secondary language: Slovenian
Secondary keywords: Fusarium sp.;SKNIR;večspektralno prikazovanje;multispektralno prikazovanje;pšenica;ekološko kmetijstvo;
URN: URN:SI:UM:
Type (COBISS): Scientific work
Pages: str. 1-10
Volume: ǂVol. ǂ11
Issue: ǂNo ǂ3
Chronology: 2016
DOI: 10.1371/journal.pone.0152011
ID: 10843453