Naslov
Chemometric analysis of wheat cultivars

Autori
Horvat, Daniela ; Kurtanjek, Želimir ; Drezner, Georg ; Šimić, Gordana

Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni

Izvornik
International Scientific and Professional Conference 13th Ružička Days "Today science-tomorrow industry" / Šubarić, Drago - Osijek : Prehrambeno tehnološki fakultet Sveučilišta Josipa Jurja Strossmayera u Osijeku, 2011, 294-301

ISBN
978-953-7005-26-9

Skup
International Scientific and Professional Conference 13th Ružička Days "Today science-tomorrow industry"

Mjesto i datum
Vukovar, Hrvatska, 16.09.2011. - 17.09.2011

Vrsta sudjelovanja
Poster

Vrsta recenzije
Međunarodna recenzija

Ključne riječi
wheat; gliadins; HMW glutenin subunits; PCA; PLS

Sažetak
In this work applied is chemometric analysis for classification and modeling of 28 domestic and foreign wheat cultivars from 2007 year of production. The analysis is aimed for investigation of genetic divergence of cultivars and determination of effects of gliadin fractions and HMW glutenin subunits on technical quality parameters. For each cultivar are determined the following 35 parameters: genotypes, composition and mass fractions of gliadin fractions determined by RP-HPLC method, composition of HMW subunits determined by SDS-PAGE electrophoresis and physical and rheological quality parameters. Since single parameter analysis does not reveal the complexity of interaction on quality applied is the multivariate approach. Samples of cultivars are projected from 35 dimension of the parameter space to the 5 dimensional space of principal components (PCA) by which 95 % of the original data variability is retained (correspond to the level of accuracy). Cluster analysis of the cultivars is based on the PCA projections. Input-output linear models are derived from the projections, by the method of partial least squares (PLS), for prediction of rheological and technological quality parameters (outputs) from projections of genotype and biochemical data (inputs). The obtained chemometric models are viewed as a potential for rational selection of wheat cultivars based on statictical multivariate data and derived predictive models.

Izvorni jezik
Engleski

Znanstvena područja
Poljoprivreda (agronomija)

POVEZANOST RADA