AI Summary & Key Takeaways
AI InsightIt was concluded that the similarity of parents for the characteristics under study, limited number of sampling, the presence of micro environmental variations resulted in absence of genuine genetic variations or the presence of some undetected genetic parameters depending on inadequacy of basic generations.
📌 3 Key Takeaways
Abstract
This study aimed to assess and use of some genetics factors such as additive, dominance and non allelic interactions affecting generation means and variances for some quantitative characteristics of basic generations [P1, P2, F1 (2 family), F2 (4 family), B1 (4 family) and B2 (4 family)] derived from the cross between Ozberk and Firat-93 cultivars of Triticum durum. Except canopy temperature and SDS sedimentation value, simple additive dominance model (m, [d], [h]) was not found to be adequate to describe generation means indicating the presence of non allelic interactions. Parameters for means of generations obtained from biometrical equations were found to be overlapping partially those of computer software (MEAN FIT). H (dominance) and E (environmental) variations turned out to be significant frequency. Variance components obtained from biometrical equations and computer software (VAR FIT) overlapped. Utilizing from variance components of best fit, h2 n for number of grain spike-1 was only estimated as 18.26 %. The h2 b values were found to be less than 50 % for both estimation methods (formulas and computer software). It was concluded that the similarity of parents for the characteristics under study, limited number of sampling, the presence of micro environmental variations resulted in absence of genuine genetic variations or the presence of some undetected genetic parameters depending on inadequacy of basic generations. Taking into account the presence of epistasis nearly for all characteristics, delay selection is recommended
Özet
This study aimed to assess and use of some genetics factors such as additive, dominance and non allelic interactions affecting generation means and variances for some quantitative characteristics of basic generations [P1, P2, F1 (2 family), F2 (4 family), B1 (4 family) and B2 (4 family)] derived from the cross between Ozberk and Firat-93 cultivars of Triticum durum. Except canopy temperature and SDS sedimentation value, simple additive dominance model (m, [d], [h]) was not found to be adequate to describe generation means indicating the presence of non allelic interactions. Parameters for means of generations obtained from biometrical equations were found to be overlapping partially those of computer software (MEAN FIT). H (dominance) and E (environmental) variations turned out to be significant frequency. Variance components obtained from biometrical equations and computer software (VAR FIT) overlapped. Utilizing from variance components of best fit, h2 n for number of grain spike-1 was only estimated as 18.26 %. The h2 b values were found to be less than 50 % for both estimation methods (formulas and computer software). It was concluded that the similarity of parents for the characteristics under study, limited number of sampling, the presence of micro environmental variations resulted in absence of genuine genetic variations or the presence of some undetected genetic parameters depending on inadequacy of basic generations. Taking into account the presence of epistasis nearly for all characteristics, delay selection is recommended.