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1) Plant breadth<br />

2) Plant branching<br />

3) Number of flowers per inflorescence<br />

4) Number of fruits per infructescence<br />

5) Germination period<br />

6) Fruit stalk length<br />

7) Fruit length<br />

8) Fruit breadth<br />

9) Cotyledon leaf length/width ratio<br />

10) Seed weight<br />

However, the remaining four sets of traits (Table 8) considered to be<br />

highly correlated were further examined. For each set, the trait that is normally<br />

distributed was chosen to represent that set. To illustrate this selection process, the set<br />

containing petiole length, leaf blade length and leaf blade width was considered.<br />

Using the Shrapiro-Wilk test for normality from the PROC UNIVARIATE output<br />

(Appendix Figure B7, B8 and B9), the p-values of these traits were 0.0618, 0.0074<br />

and 0.0001, respectively. Such set exhibited normal distribution. However, the leaf<br />

blade width was more normal distribution compared to leaf blade length and petiole<br />

length, therefore, leaf blade width was chosen to present that set. In case of plant<br />

height and flowering time set of traits, both p-values were equal to 0.0001. The<br />

flowering time was chosen to present that set because plant height exhibited nonnormal<br />

distribution but flowering time was normal distribution. For cotyledon leaf<br />

length and cotyledon leaf width set of traits, both traits were more normal distribution.<br />

The cotyledon leaf width was chosen over cotyledon leaf length because the<br />

measurement of the former was considered to be easier and p-value (0.0005) was<br />

almost to 0.0001 (Manigbas, 2005).<br />

43

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