This HTML5 document contains 48 embedded RDF statements represented using HTML+Microdata notation.

The embedded RDF content will be recognized by any processor of HTML5 Microdata.

Namespace Prefixes

PrefixIRI
dctermshttp://purl.org/dc/terms/
n15http://localhost/temp/predkladatel/
n13http://linked.opendata.cz/resource/domain/vavai/vysledek/RIV%2F60461373%3A22330%2F07%3A00019055%21RIV08-MSM-22330___/
n4http://linked.opendata.cz/resource/domain/vavai/riv/tvurce/
n10http://linked.opendata.cz/ontology/domain/vavai/
n14http://linked.opendata.cz/resource/domain/vavai/zamer/
shttp://schema.org/
skoshttp://www.w3.org/2004/02/skos/core#
n3http://linked.opendata.cz/ontology/domain/vavai/riv/
n2http://linked.opendata.cz/resource/domain/vavai/vysledek/
rdfhttp://www.w3.org/1999/02/22-rdf-syntax-ns#
n16http://linked.opendata.cz/ontology/domain/vavai/riv/klicoveSlovo/
n18http://linked.opendata.cz/ontology/domain/vavai/riv/duvernostUdaju/
xsdhhttp://www.w3.org/2001/XMLSchema#
n12http://linked.opendata.cz/ontology/domain/vavai/riv/jazykVysledku/
n9http://linked.opendata.cz/ontology/domain/vavai/riv/aktivita/
n17http://linked.opendata.cz/ontology/domain/vavai/riv/druhVysledku/
n5http://linked.opendata.cz/ontology/domain/vavai/riv/obor/
n7http://reference.data.gov.uk/id/gregorian-year/

Statements

Subject Item
n2:RIV%2F60461373%3A22330%2F07%3A00019055%21RIV08-MSM-22330___
rdf:type
n10:Vysledek skos:Concept
dcterms:description
A discrimination analysis model was developed for distinguishing four bread-making categories (E, A, B, C) of wheat varieties according to the Czech classification system by NIR spectroscopy. Principal component analysis was applied to reduce the number of spectral data point (1050 readings). Grain technological quality was described by four traits, baking one by the further four parameters. Discrimination ability of the calibration model achieved a success of 77.1%. The results have shown the model to be able to identify flour samples of high bread making quality (class E) or non-bread-making wheats (class C). Further, it was apparently less able to reliably identify samples of common bread-baking quality (classes A and B). A discrimination analysis model was developed for distinguishing four bread-making categories (E, A, B, C) of wheat varieties according to the Czech classification system by NIR spectroscopy. Principal component analysis was applied to reduce the number of spectral data point (1050 readings). Grain technological quality was described by four traits, baking one by the further four parameters. Discrimination ability of the calibration model achieved a success of 77.1%. The results have shown the model to be able to identify flour samples of high bread making quality (class E) or non-bread-making wheats (class C). Further, it was apparently less able to reliably identify samples of common bread-baking quality (classes A and B). Spektrální data mouk společně se vybranými znaky zrna a parametry pekařské jakosti byly použity pro odlišení jakostních tříd E, A, B a C, do kterých jsou odrůdy pšenice v ČR zařazovány. Statistický model byl vypracován metodou diskriminační analýzy, jeho přesnost dosáhla 77.1%. Nejspolehlivěji byly identifikovány vzorky ze tříd E a C, tedy nejvyšší pekařské a nepotravinářské jakosti. Pšenice běžné pekařské kvality (třídy A, B) byly identifikovány s menší spolehlivostí.
dcterms:title
Discrimination of Czech wheat varieties according to their bread-baking quality by NIR spectroscopy Discrimination of Czech wheat varieties according to their bread-baking quality by NIR spectroscopy Discrimination of Czech wheat varieties according to their bread-baking quality by NIR spectroscopy
skos:prefLabel
Discrimination of Czech wheat varieties according to their bread-baking quality by NIR spectroscopy Discrimination of Czech wheat varieties according to their bread-baking quality by NIR spectroscopy Discrimination of Czech wheat varieties according to their bread-baking quality by NIR spectroscopy
skos:notation
RIV/60461373:22330/07:00019055!RIV08-MSM-22330___
n3:strany
150-154
n3:aktivita
n9:Z n9:S
n3:aktivity
S, Z(MSM6046137305)
n3:cisloPeriodika
3
n3:dodaniDat
n7:2008
n3:domaciTvurceVysledku
n4:6407412 n4:5063353 n4:6927254
n3:druhVysledku
n17:J
n3:duvernostUdaju
n18:S
n3:entitaPredkladatele
n13:predkladatel
n3:idSjednocenehoVysledku
417499
n3:idVysledku
RIV/60461373:22330/07:00019055
n3:jazykVysledku
n12:eng
n3:klicovaSlova
NIR spectroscopy; wheat class; wheat quality prediction, discriminant analysis
n3:klicoveSlovo
n16:discriminant%20analysis n16:wheat%20class n16:wheat%20quality%20prediction n16:NIR%20spectroscopy
n3:kodStatuVydavatele
DE - Spolková republika Německo
n3:kontrolniKodProRIV
[56D7737AA860]
n3:nazevZdroje
Getreidetechnologie
n3:obor
n5:GM
n3:pocetDomacichTvurcuVysledku
3
n3:pocetTvurcuVysledku
4
n3:rokUplatneniVysledku
n7:2007
n3:svazekPeriodika
61
n3:tvurceVysledku
Jirsa, Ondřej Švec, Ivan Hrušková, Marie Suchánek, Miloslav
n3:zamer
n14:MSM6046137305
s:issn
0367-4177
s:numberOfPages
5
n15:organizacniJednotka
22330