Interrelationship between yield and yield related traits of spring canola (Brassica napus L.) genotypes

Abstract

The research was conducted in order to determine yield related characters which are more effective as selection criteria than yield itself. Three spring canola (Brassica napus L.) genotypes have been investigated for plant height, number of primary branches (including the main raceme), number of pods per plant, pod length, number of seeds per pod, seed weight per pod and 1000 seed weight and their correlations with seed yield per plant. Seed yield had highest correlation with number of pods per plant (r= 0.935 and r= 0.973 in Skopje and Strumica, respectively), followed by seed weight per pod (r= 0.693 and r= 0.729) and 1000 seed weight (r= 0.627 and r= 0.680). Path coefficient analysis was used to identify the direct and indirect effect of studied characters on seed yield. Number of pods per plant (p=0.759 and p=0.877 for Skopje and Strumica, respectively) and seed weight per pod (p=0.216 and p=0.225) had the highest direct effect on seed yield in both locations followed by 1000 seed weight (p=0.056 and p=0.010). The coefficient of determination (R2) was 0.943

Interrelationships between seed yield and 20 related traits of 49 canola (Brassica napus L.) genotypes in non-stressed and water-stressed environments

“…The main advantage is that path analysis not only identifies the most important factor directly affecting a trait, but also indicates how factors affect the trait indirectly through other factors (Kang et al, 1983(Kang et al, , 1989Kozak and Kang, 2006). Previous research indicated that path coefficient analysis provides more information on the interrelationships between yield components and yield than correlation coefficients (Dewey and Lu, 1959;Kang et al, 1983;Gravois and McNew, 1993;Board et al, 1997;Kozak and Kang, 2006 Ozer et al (1999) and Ivanovska et al (2007). Leilah and Al-Khateeb (2005) found high positive, significant, correlation between number of pods plant (Table 1).…”

“…The present study did not show significant correlation between these traits. Seifert and Boelcke (1977), Ozer et al (1999), Algan and Aygun (2001), and Tuncturk and Ciftci (2007) all also reported the highest direct effect of TSW on seed yield in non-stressed environments but differ from the findings of Thurling (1974), Ali et al (2002), Ivanovska et al (2007) and Marjanovic-Jeromela et al (2008). Marinkovic et al (2003) estimated the strongest direct effect of DFS and days to flowering ending (DFE) on seed yield.…”

“…Ivanovska et al (2007) and Tuncturk and Ciftci (2007) , number of pods on main stem, number of seeds pod -1 and the TSW. Finally, correlations between yield and yielddetermining traits have been repeatedly analysed in rapeseed (Olsson, 1960;Thurling, 1974;Richards and Thurling, 1979;Degenhart and Kondra, 1984;LefortBuson and Dattee, 1985;Ozer et al, 1999;Ivanovska et al, 2007;Dehghani et al, 2008).…”

“…This character is a yield component and is easier to determine than yield and generally has a high heritability (Engqvist and Becker, 1993). Leiah and Al-Khateeb (2005) and Ivanovska et al (2007) reported a high, positive, significant, correlation between TSW and seed yield. Further, MarjanovicJeromela et al (2008) reported a moderate, positive, significant correlation and Tuncturk and Ciftci (2007) reported a low positive, significant correlation between TSW and seed yield.…”

“…Recently sequential path analysis was used in maize (Zea mays L.) by Mohammadi et al (2003) and in potato (Solanum tubersum L.) by Asghari-Zakaria et al (2007). Although, there are several reports on correlation and path coeff icient analysis in canola (Degenhart and Kondra, 1984;Engqvist and Becker, 1993;Ozer et al, 1999;Ali et al, 2003;Khan et al, 2006Khan et al, , 2008Ivanovska et al, 2007;Marjanovic-Jeromela et al, 2007;Basalma, 2008), detailed cause and effect relationships using sequential path analysis have not been examined in canola.…”