18.08.2013 Views

THESIS

THESIS

THESIS

SHOW MORE
SHOW LESS

You also want an ePaper? Increase the reach of your titles

YUMPU automatically turns print PDFs into web optimized ePapers that Google loves.

Plots of the clustering statistics (pseudo F, cubic clustering criterion and<br />

pseudo t 2 ) against the member of cluster were obtained using the PROC PLOT<br />

statement. A consensus among these statistics (local peaks of pseudo F and t 2 and<br />

local dips of cubic clustering criterion) was used to determine the number of clusters<br />

to be considered in the analysis. The process that involves the use of these statistics<br />

in determining the right number of cluster is considered to as “stopping point”. The<br />

good stopping points referred to are the local peaks of pseudo F and pseudo t 2 and the<br />

local dips of cubic clustering criterion (Callantes, 2003). Using PROC PLOT<br />

statement, the plots of these statistics against the number of cluster were obtained<br />

(Figure 3 to 5).<br />

II. Nominal traits<br />

The qualitative data listed in Appendix Table A3 was analyzed by R<br />

program version 2.6.1 (Hornik, 2007). The cluster analysis was done the interaction<br />

mode of the software (method = average). The dendrogram showing the stratified<br />

accessions of Solanum spp. based on selected nominal traits was then generated using<br />

the tree plot of the graphics window.<br />

20

Hooray! Your file is uploaded and ready to be published.

Saved successfully!

Ooh no, something went wrong!