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Original Articles

Predictive Modeling of Spring Wheat Varieties by Cluster Analysis

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Pages 310-320 | Received 22 Aug 2006, Accepted 23 Mar 2007, Published online: 23 Apr 2008

Figures & data

Table 1 Codes of wheat varieties tested for various parameters

Table 2 Significant variables contributing for dependent (lysine, total chapati scores, and Overall cookie quality scores) derived through stepwise regression

Figure 1 Dendrogram of wheat varieties for lysine content using centroid method.

Figure 1 Dendrogram of wheat varieties for lysine content using centroid method.

Table 3 Cluster analysis classification of wheat varieties based on lysine

Figure 2 Scatter plot o'kernel weight and crude protein for lysine.

Figure 2 Scatter plot o'kernel weight and crude protein for lysine.

Figure 3 Dendrogram of wheat varieties for overall quality of cookies.

Figure 3 Dendrogram of wheat varieties for overall quality of cookies.

Table 4 Cluster analysis classification of wheat varieties based on total chapati scores

Figure 4 Scatter plot of kernel weight and diameter of cookies for overall quality scores of cookies.

Figure 4 Scatter plot of kernel weight and diameter of cookies for overall quality scores of cookies.

Table 5 Cluster analysis of wheat varieties based on overall quality scores of cookies

Figure 5 Dendrogram of wheat varieties for total chapatti scores.

Figure 5 Dendrogram of wheat varieties for total chapatti scores.

Figure 6 Scatter plot of color and feel to touch for total chapatti scores.

Figure 6 Scatter plot of color and feel to touch for total chapatti scores.

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