Analyses of rapeseed varieties with regard to quantitative and qualitative traits

Abstract

Abstract Rapeseed (Brassica napus L.) is one of the most important oil crops in terms of economics, ecology, and nutrition. For the purpose of selecting the most suitable canola genotypes for quantitative and qualitative traits, an experiment was conducted in Damavand region with the presence of nine genotypes and the examination of nine traits with three replications. The results of analysis of variance showed that the effect of genotype in terms of all traits had significant differences at the level of 0.01 and 0.05. Additionally, the results of the average comparison indicated that Zargol and Hyola 401 genotypes were more favorable than other cultivars in terms of all traits. According to the three analyses related to the examination of the traits, it was concluded that the grain yield trait was positively correlated with the harvest index trait, the biological yield trait was positively correlated with the oil percentage trait, and the leaf width trait was positively correlated with the number of days to 50% flowering. Using principal component analysis (PCA), the first three components explained more than 81 percent of the variance in the data, and the first and second components had positive coefficients for Zargol and Hyola 401 genotypes. On the basis of the graphical analysis, the Zargol and Sunday genotypes were selected as the best genotypes. In comparison with the cluster analysis and heat map drawn on the data, the genotypes were grouped into two main groups based on traits. Accordingly, Zargol genotypes are considered stable genotypes in terms of their traits and are suitable for cultivation and agricultural research.

Keywords

• rapeseed
• correlation
• graphic analysis
• cluster analysis
• heat map