Determining relationships among seed yield and some yield components using correlation, regression and path analysis in canola (Brassica napus L.)
Journal Title: International Journal of Farming and Allied Sciences - Year 2013, Vol 2, Issue 1
Abstract
Determination of the traits affects seed yield is very efficient in breeding of this trait in canola (Brassica napus L.). Seed yield is the quantitative trait that direct selection per se isn’t effective for improvement this. Therefore, indirect selection through traits having higher heritability and correlated strongly with seed yield has more genetic efficiency than direct selection in genetic improvement of this trait. Hence, in order to determine the best indirect selection criteria for genetic improvement of seed yield in canola a split plot design in the layout randomized complete block design with three replications was conducted. Four planting dates 15 October, 22 October, 29 October and 5 November were considered as main factor levels in the main plot. Also, ten canola cultivars were used as sub factor levels and were arranged randomly in the sub plots. Step-wise regression of seed and oil yield revealed that 98.9% of total variation exists in seed yield accounted for by the traits grain filling rate, grain filling duration and biological yield. 95.7, 2.3 and 0.9% of seed yield variation accounted for by these traits, respectively. Path analysis for seed yield as dependent variable showed amongst the highest direct effect on seed yield belongs to grain filling rate. Grain filling duration and biological yield had the maximum indirect effects on seed yield. In conclusion, results revealed high efficiency of the trait grain filling rate as indirect selection criterion for genetic improvement of seed yield in canola cultivars especially in early generations of breeding programs.
Authors and Affiliations
Arezoo Armin, Ahmad Reza Golparvar, Bahram majd Nassiri, Mohammad Reza Naderi
Keywords
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