Substitution analysis of adaptation using nonparametric stability estimators
Paper Details
Substitution analysis of adaptation using nonparametric stability estimators
Abstract
One important step in the genetic analysis of adaptation is identification of the chromosomal location of the genes controlling phenotypic stability. The present investigation was therefore carried out to locate QTLs monitoring stability in wheat. The experiment was conducted in a randomized complete block design with three replications under three different irrigated and rainfed environments using wheat substitution lines. The results of combined analysis of variance showed highly significant differences for genotypes (G), environments (E) and G×E interaction indicating the presence of genotypic variability, different responses of genotypes to different environments and possible localization of QTLs controlling yield and yield stability. Non-parametric stability statistics, Si(1) introduced substitution lines, 4D, 5A, 4B and 2A; Si(2): 4D, 5A, 2A, and 4B; Si(3): 4D, 4B, 2A and 5A and Si(4): 3A, 4B, 5A and 4D as phenotypically stable accessions, while non-parametric stability estimators NPi(1),NPi(2), NPi(3)and NPi(4) discriminated 3A, 4B and 4D as stable entries. Ysi introduced 4D as the most stable substitution line. According to Biplot analysis QTLs monitoring simultaneously yield and yield stability were distributed on chromosomes 3A, 5A, 3B, 4B and 4D of wheat and they can be transferred to wheat through chromosome engineering for enhancement of yield and yield stability. Based on rank sum (RS) method the most desirable stable substitution lines lines were identified as 3A and 4B. It can be concluded that QTLs controlling adaptation are distributed on different chromosomes of wheat.
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Nasrin Hatamy, Ezatollah Farshadfar (2014), Substitution analysis of adaptation using nonparametric stability estimators; JBES, V5, N1, July, P228-235
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