March
2005
Volume
82
Number
2
Pages
182
—
186
Authors
B. J.
Dobraszczyk
,
1
,
2
B. P.
Salmanowicz
,
3
B.
Ługowska
,
4
and
J.
Chełkowski
3
Affiliations
The University of Reading, School of Food Biosciences, Reading RG6 6AP, UK.
Corresponding author. E-mail: b.dobraszczyk@reading.ac.uk
Institute of Plant Genetics, Polish Academy of Sciences, 60-479 Poznań, Poland.
DANKO Plant Breeding, Choryń, Poland.
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RelatedArticle
Accepted October 10, 2004.
Abstract
ABSTRACT
Baking and 2-g mixograph analyses were performed for 55 cultivars (19 spring and 36 winter wheat) from various quality classes from the 2002 harvest in Poland. An instrumented 2-g direct-drive mixograph was used to study the mixing characteristics of the wheat cultivars. A number of parameters were extracted automatically from each mixograph trace and correlated with baking volume and flour quality parameters (protein content and high molecular weight glutenin subunit [HMW-GS] composition by SDS-PAGE) using multiple linear regression statistical analysis. Principal component analysis of the mixograph data discriminated between four flour quality classes, and predictions of baking volume were obtained using several selected mixograph parameters, chosen using a best subsets regression routine, giving R2 values of 0.862–0.866. In particular, three new spring wheat strains (CHD 502a-c) recently registered in Poland were highly discriminated and predicted to give high baking volume on the basis of two mixograph parameters: peak bandwidth and 10-min bandwidth.
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© 2005 American Association of Cereal Chemists, Inc.