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:: Volume 4, Issue 2 (2018) ::
pgr 2018, 4(2): 61-74 Back to browse issues page
Biplot Analysis of Diallel Data for Water Deficit Stress Tolerance in Wheat
Mohammad Motamedi * , Parviz Safari
Islamic Azad University , motamedi555@gmail.com
Abstract:   (17788 Views)
Drought stress is one of the most important factors involved in reducing wheat production and identifying genetic structure and gene action type in controlling grain yield in water stress condition is essential for choosing appropriate breeding methods. In this study, 9×9 one way diallel crosses were used to study the genetic structure of wheat grain yield at stress and non- stress conditions. Combining ability analysis by the second Griffing method for both conditions resulted in significant GCA and SCA variances, representing grain yield may be controlled by additive and non- additive effects of genes. The results of applying combining ability analysis indicated that among the parents, genotypes Ghods and Bam had the highest GCA for grain yield and the best specific crosses were Arg × Ghods, Navid × Moghan, Bam × Alvand (for both irrigation regimes) and Bam × Ghods (in stress condition). Biplot analysis of diallel data was used to display GCA and SCA for parents and to determine heterotic groups and the best crosses. In general, according to the results, Bam, Ghods and Arg were tolerant cultivars and had the ability to maintain yield in drought stress condition as well as to transfer these properties to the hybrids. So these genotypes can be used to improve stress tolerance in breeding programs.
Keywords: Diallel, General Combining Ability, Specific Combining Ability, Water deficit stress, Wheat
Full-Text [PDF 865 kb]   (2007 Downloads)    
Type of Study: Research | Subject: Plant genetics
Accepted: 2018/01/3
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motamedi M, safari P. Biplot Analysis of Diallel Data for Water Deficit Stress Tolerance in Wheat. pgr 2018; 4 (2) :61-74
URL: http://pgr.lu.ac.ir/article-1-101-en.html


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Volume 4, Issue 2 (2018) Back to browse issues page
پژوهش های ژنتیک گیاهی Plant Genetic Researches
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