Combining Ability Analysis in Linseed ( Linum usitatissimum L.)
The breeding values of six linseed genotypes viz; LS-1, Chandni, LS-53, LS-62, LS-13 and P-250 were determined in a half diallel experiment using combining ability analysis for seed yield and five components of seed yield. Significant General Combining Ability (GCA) effects and Specific Combining Ability (SCA) effects were noted for all traits. Ls-53, Chandni and LS-1 displayed positive GCA effects for seed yield per plant. LS-53 and Chandni also showed desirable GCA effect for number of branches per plant and number of capsules per plant. Amongst the 15 crosses, 7 (LS-1 x LS-53, Chandni x P-250, Chandni x LS-53, Chandni x LS-62, LS-53 x LS-13, LS-53 x P-250 and LS-53 x LS-62) involving at least one parent with good GCA effect for seed yield per plant and at least one component of yield, are expected to throw higher frequency of desirable segregants to develop high yielding linseed lines.
Available from: Oliul Hassan
- "= For Example FAO = Food and Agriculture Organization GCA = General Combining Ability g = gram (s) H = High L = Low i.e. = That is SAU = Sher-e-Bangla Agricultural University Agric = Agriculture Agril. = Agricultural j = Journal Sci = Science 1999; Islam et al., 1999 "
08/2012; Lambert Academic Publishing., ISBN: 978-3-659-22911-4
Available from: Dr Farhatullah
- "Therefore, desirable GCA and SCA are needed to achieve higher yield with heterosis (Marinkovi & Marjanovic, 2004). Many studies have been conducted to address the effects of GCA and SCA for yield and yield components in different crops (Khan et al., 2009a & b; Muraya et al., 2006; Jan et al., 2005; Attia et al., 2001; Sameena et al., 2000; Juma et al., 1999; Islam et al., 1999). But the research studies regarding gene action for yield and yield components in brassica is unsolved and needs consideration. "
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ABSTRACT: A diallel experiment was conducted to determine better general and specific combiners in 8x8 Brassica juncea L., genotypes for seed yield and its associated traits. Analysis of variance revealed highly significant (p≤0.01) differences among all the genotypes for pod length, 1000 seed weight and seed yield plant -1 , while significant (p≤0.05) differences were noted for pods plant -1 and seeds pods -1 . According to combining ability analysis, the general combining ability (GCA) mean squares was highly significant (p≤0.01) for seed yield plant -1 and significant (p≤0.05) for 1000 seed weight, while found non significant for pods plant -1 , pod length and seeds pod -1 . The specific combining ability (SCA) and reciprocal combining ability (RCA) mean squares were highly significant (p≤0.01) for all the traits except seeds pod -1 . GCA effects were of greater magnitude than SCA and RCA for pods plant -1 , pod length and seed yield plant -1 indicating that these traits were controlled by additive type of gene action. Reciprocal effects were found greater than GCA and SCA for seed pod -1 and 1000 seed weight showing that maternal effects were also active and need due attention for the said traits. The parental genotypes MYT009, MYT113, MYT123, MYT120 and MYT117 were found the best general combiners, while hybrids MYT117 x MYT123, MYT113 x MYT009, MYT123 x MYT113, MYT124 x MYT117, MYT105 x MYT103 and MYT113 x MYT120 were found the best specific combiners for majority of the traits and could be exploited through further selection in segregating population. Results revealed the importance of both additive and non-additive genetic variability suggesting the use of integrated breeding strategies which can efficiently utilize the additive as well as non-additive genetic variations.
Pakistan Journal of Botany 04/2011; 43(2):1241-1248. · 0.82 Impact Factor
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