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Two 2-row and four 6-row spring malt barley varieties were grown at 5 locations in Pennsylvania in 1963. From these 5 experiments, 22 samples of the two-row varieties and 34 samples of the 6-row varieties were subjected to complete malt quality analysis. Dealing with the data in 2 groups (2- and 6-row), all possible combinations of correlation coefficients were computed among 20 of the quality variables available. The correlation matrices were then used in multiple regression analysis in which one independent variable is elminated at a time. The elminination was based on its relative lack of contribution to an explanation of the variation in the dependent variable. All statistical analyses were done with the aid of an electronic computer.
Seven of the most meaningful multiple regressions with high predictive power were reported. Three of these were associated with R2 values of about .90. Three of the expressions developed showed potential as prediction equations for diastatic power (2-row varieties) and for fine grind extract and fine minus coarse extract (6-row varieties). Many close relationships between barley and malt kernel size and other quality characteristics were found. It was emphasized that multiple regression analysis, made feasible with electronic computers, was a potentially valuable tool in understanding and defining malt quality.
2 Graduate Assistant, Computation Center, and Associate Professor of Agronomy, The Pennsylvania State University, University Park, Pennsylvania.
Received for publication October 1, 1965.
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