Abstract
To evaluate the relationship among seed and oil yield as well as determine the best indirect selection criteria for genetic improvement of seed and oil yield in canola a randomized complete block design with three replications was conducted using 17 cultivars. Step-wise regression of seed and oil yield revealed that 98.4 and 98.9% of total variation exists in these traits accounted for by the traits seed yield, oil percent, plant height and days to physiological maturity for oil yield while the traits biological yield, harvest index, days from planting to flowering initiation and no. grain/pod for seed yield . Path analysis for seed and oil yield designed high efficiency of the traits plant height and days to physiological maturity as indirect selection criteria for genetic improvement of oil yield and the traits biological yield and no. grain/pod for seed yield improvement in canola cultivars especially in early generations of breeding programs. Key words: Canola, correlation analysis, path analysis, indirect selection, selection criteria, genetic improvement.
Highlights
Determination of the traits affects oil and seed yield is very efficient in breeding of this trait in canola (Brassica napus L.)
Measurement for 14 traits days to shooting, days to flowering initiation, days to full flowering, days to physiological maturity, flowering duration, plant height, number of pod/plant, number of seed/pod, 1000-seed weight (g), biological yield (g), seed yield (g), harvest index (%),oil percent (%) and oil yield (g) were achieved on 10 normal plants randomly selected from two middle rows in each plot
Step-wise regression analysis for oil yield as dependent variable (Table 2) revealed that traits seed yield, oil percent, plant height and days to physiological maturity accounted for 98.4% of variation existence in oil yield
Summary
Determination of the traits affects oil and seed yield is very efficient in breeding of this trait in canola (Brassica napus L.). Oil and seed yield are the quantitative trait that direct selection per se is not effective for improvement. Indirect selection through traits having higher heritability and correlated strongly with oil and seed yield has more genetic efficiency than direct selection in genetic improvement of these traits (Falconer, 1998). Path analysis presented by Li (1956) has been extensively used for segregating correlation between oil yield and its components in oilseed crops. Path analysis is used to determine the amount of direct and indirect effects of the variables on the dependent variable (Li, 1956; Farshadfar et al, 1993)
Sign-in/Register to view highlights & summary Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
