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Pregled bibliografske jedinice broj: 712135

HMW-GS as protein markers in differentiation of wheat cultivars


Horvat, Daniela; Drezner, Georg; Šimić, Gordana; Dvojković, Krešimir; Sudar, Rezica; Lutrov, Kristina
HMW-GS as protein markers in differentiation of wheat cultivars // Proceedings of the 7th International Congress Flour- Bread'13, 9th Croatian Congress of Cereal / Jukić, Marko (ur.).
Osijek: Josip Juraj Strossmayer University of Osijek Faculty of Food Technology Osijek, Croatia, 2014. str. 298-303 (poster, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)


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Naslov
HMW-GS as protein markers in differentiation of wheat cultivars

Autori
Horvat, Daniela ; Drezner, Georg ; Šimić, Gordana ; Dvojković, Krešimir ; Sudar, Rezica ; Lutrov, Kristina

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

Izvornik
Proceedings of the 7th International Congress Flour- Bread'13, 9th Croatian Congress of Cereal / Jukić, Marko - Osijek : Josip Juraj Strossmayer University of Osijek Faculty of Food Technology Osijek, Croatia, 2014, 298-303

Skup
7th International Congress Flour-Bread '13, 9th Croatian Congress of Cereal Technologists Brašno– Kruh '13.

Mjesto i datum
Opatija, Croatia, 16-18.10.2013

Vrsta sudjelovanja
Poster

Vrsta recenzije
Međunarodna recenzija

Ključne riječi
wheat; HMW-GS; Glu-1 score; RP-HPLC

Sažetak
12 wheat (Triticum aestivum L.) cultivars differing in high molecular weight-glutenin subunits (HMW-GS) composition were collected from experimental field of the Agricultural Institute Osijek in 2009 and 2010. HMW-GS was analyzed by SDS-PAGE method and according to the catalogue of alleles the Glu1-score was calculated. The most frequently occurring HMW-GS were 2* 7+8/9 5+10. The proportion of HMW-GS in total extracted proteins of grains was analyzed by RP-HPLC and their average values in 2009 and 2010 were 8.91 and 9.55%, respectively. Comparing the cultivars, a several groups of related HMW-GS attributes were separated. Cultivar Divana as the Croatian bread improver with favorable HMW-GS composition (2* 7+9 5+10) and the highest HMW-GS proportion (11.98%) had a distinct position. In contrast, the Croatian yielding cultivar Sana was positioned on the opposite side due to unfavorable HMW-GS composition (2* 6+8 2+12) and the lowest HMW-GS proportion (6.24%). Cultivars Soissons, Felix, Aida and Ilirija with the highest Glu-1 score (10) belonged to the same cluster and their HMW-GS proportion varied between 8.90 and 10.01%. Cultivars Srpanjka and Golubica were due to higher proportion of HMW-GS (9.80% and 10.01%, respectively) and similar Glu-1 score (6 and 5, respectively) positioned very close.

Izvorni jezik
Engleski

Znanstvena područja
Poljoprivreda (agronomija)



POVEZANOST RADA


Projekt / tema
073-0730718-0598 - Razvoj nove germplazme u oplemenjivanju kvantitativnih svojstava pšenice (Georg Drezner, )

Ustanove
Poljoprivredni institut Osijek

Citiraj ovu publikaciju

Horvat, Daniela; Drezner, Georg; Šimić, Gordana; Dvojković, Krešimir; Sudar, Rezica; Lutrov, Kristina
HMW-GS as protein markers in differentiation of wheat cultivars // Proceedings of the 7th International Congress Flour- Bread'13, 9th Croatian Congress of Cereal / Jukić, Marko (ur.).
Osijek: Josip Juraj Strossmayer University of Osijek Faculty of Food Technology Osijek, Croatia, 2014. str. 298-303 (poster, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)
Horvat, D., Drezner, G., Šimić, G., Dvojković, K., Sudar, R. & Lutrov, K. (2014) HMW-GS as protein markers in differentiation of wheat cultivars. U: Jukić, M. (ur.)Proceedings of the 7th International Congress Flour- Bread'13, 9th Croatian Congress of Cereal.
@article{article, editor = {Juki\'{c}, M.}, year = {2014}, pages = {298-303}, keywords = {wheat, HMW-GS, Glu-1 score, RP-HPLC}, title = {HMW-GS as protein markers in differentiation of wheat cultivars}, keyword = {wheat, HMW-GS, Glu-1 score, RP-HPLC}, publisher = {Josip Juraj Strossmayer University of Osijek Faculty of Food Technology Osijek, Croatia}, publisherplace = {Opatija, Croatia} }




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