STATISTICAL EVALUATION OF TECHNIQUES FOR PREDICTING BAKING QUALITY OF WHEAT CULTIVARS

Publisher Website
Google Scholar
Abstract
Simple correlations between a number of quality parameters, their heritabilities and an evaluation of the best combination of these parameters to predict loaf volume, were determined from data for 26 cultivars of spring wheat grown at four locations in Western Canada. Highly significant correlations between remix loaf volume and each of Zeleny sedimentation value, farinograph dough development time, farinograph mixing tolerance index, proportion of residue protein, and glutenin protein were obtained. Sedimentation value, 1000 kernel weight, mixing tolerance index, flour yield, farinograph absorption, and remix loaf volume all had high heritabilities over the four locations. Using the simple correlations as a guide, regression formulae yielding the best predictions of remix loaf volume were developed. Residue protein content, Zeleny sedimentation value, and farinograph dough development time provided the most useful information for predicting baking quality by a single test.

This publication has 0 references indexed in Scilit: