Correlation, regression and path analysis of seed yield and yield components in canola cultivars (Brassica napus L.)

Subject Areas : New Finding in Agriculture

S. Z. Hashemi ¹ , A. R. Golparvar ² , M. Rasouli ³

1 - M. Sc. in Agronomy, Islamic Azad University, Khorasgan Branch, Iran
2 - Assist. Prof., Islamic Azad University, Khorasgan Branch, Iran
3 - Islamic Azad University, Takestan Branch, Iran

Received: 2015-12-03 Accepted : 2015-12-03 Published : 2008-08-22

Keywords: Correlation analysis, Path analysis, Canola, step-wise regression, indirect selection,

Abstract :

     In order to assessment of relationship among grain yield and different traits and determination of the best indirect selection criteria for genetic improvement of grain yield in canola a randomized complete block design with three replications was conducted using 17 cultivars. Correlation coefficient analysis of grain yield showed positive and significant relationship between selected trait with traits days to shooting, days from planting to full flowering, plant height, number of grain/pod, 1000 grains weight, biological yield, harvest index, grain oil percent and oil yiel. Step-wise regression of grain yield as dependent variable and the other traits as independent variables revealed that 98.9% of variation exists in grain yield accounted for by the traits biological yield, harvest index, days to flowering initiation and number of grain/pod. Path analysis for grain yield based on traits that correlated positively and significantly with this trait designed high efficiency of traits 1000 seeds weight, biological yield, harvest index, days to shooting and number of grain/pod as indirect selection criteria for genetic improvement of this trait in canola cultivars especially in early generations of breeding programs.

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