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

Povzetek

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.

Ključne besede

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

Podatki

Jezik: Angleški jezik
Leto izida:
Tipologija: 1.01 - Izvirni znanstveni članek
Organizacija: UM FKBV - Fakulteta za kmetijstvo in biosistemske vede
UDK: 633.11:631.147
COBISS: 4131884 Povezava se bo odprla v novem oknu
ISSN: 1932-6203
Št. ogledov: 875
Št. prenosov: 155
Ocena: 0 (0 glasov)
Metapodatki: JSON JSON-RDF JSON-LD TURTLE N-TRIPLES XML RDFA MICRODATA DC-XML DC-RDF RDF

Ostali podatki

Sekundarni jezik: Slovenski jezik
Sekundarne ključne besede: Fusarium sp.;SKNIR;večspektralno prikazovanje;multispektralno prikazovanje;pšenica;ekološko kmetijstvo;
URN: URN:SI:UM:
Vrsta dela (COBISS): Znanstveno delo
Strani: str. 1-10
Letnik: ǂVol. ǂ11
Zvezek: ǂNo ǂ3
Čas izdaje: 2016
DOI: 10.1371/journal.pone.0152011
ID: 10843453