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Development of germplasm resources through importing new genotypes could be improved efficiency of safflower (Carthamus tinctorius L.) breeding programs. For this purpose, during 2014-2015 season, 82 imported safflower genotypes were evaluated in randomized complete block design at the research station of ORDC (Oilseeds Research & Development Company). In this plan, six important quantitative traits and related to grain yield were recorded for all genotypes.   In this study for modeling of stepwise regression and PCA (Principal components analysis) were analyzed by PROC MIXED, PROC GLM and PROC IML, respectively. The results of PCA were shown that grain yield and thousand grain weight components had higher correlation in linear combination. It was found 68% of the total variation justified with the three first components. The regression coefficients were significant for grain number per head and thousand grain weight at 1% and 5% respectively that it can find out two mentioned traits had an effective role on increasing grain yield. The number of grain per pod and thousand grain weight remained in the model of Stepwise regression and for this reason these variables significantly related to grain yield. Therefore, for increasing grain yield in breeding programs and producing high potential genotypes, the used traits in this survey can be consider.


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