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Multivariate analysis for canola varieties in Sistan region of Iran | Abstract
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Abstract

Multivariate analysis for canola varieties in Sistan region of Iran

Author(s): Mehdi Shahraki, Rasulov Salimbek, Mohammad Galavi, Hamid Reza Fanaei

To estimate the association between quantitative traits in canola using correlation and regression and the of direct and indirect effects particular traits on oil yield through the path analysis, Two cultivars of canola in two consecutive years 2011 and 2012 in a randomized complete block design was carried out Zehak Agricultural Research and 13 characters were measured. The results of compound experiment showed that there were significant differences between cultivars, between the years of testing and interaction between cultivars and years for most traits. That prefigures there is a high genetic diversity among varieties. Oil yield had significant positive correlation with grain yield, weight of 1000 seeds and oil content while had a negative correlation with number of days to flowering. Step wise regression showed that grain yield, oil content and days to flowering had the most effect on oil yield and justified 99.1% of regression model. The most direct effect on oil yield was belonging to oil content. Totally in breeding program for canola and based on stepwise results weight of 1000 seeds and grain yield are most important trait to selection canola cultivar for more oil content.