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Locating QTLs controlling adaptation in Agropyron using nonparametric stability statistics

Mahsa Sadeghi, Ezatollah Farshadfar

DOI: https://dx.doi.org/10.12692/ijb/4.6.208-216

Int. J. Biosci. 4(6), 208-216. March, 2014. (PDF)

Abstract:

In order to locate QTLs controlling adaptation in Agropyron elongatum and to study the relationship among non-parametric stability statistics, disomic addition lines of wheat-agropyron were used in a randomized completely block design with three replications under three different environments.The results of combined analysis of variance for grain yield data indicated that main effects of environment (E), genotype (G) and GE interaction were found to be significant indicating variability between genotypes and their effects in the GE interaction and possible localization of the genes monitoring yield and yield stability. The Si(1) and Si(2) statistics showed that genotypes E2 and E6 were the most stable genotypes, and this was supported by the Si(3) and Si(6) statistic indicated that the QTLs controlling yield and stability are distributed on chromosomes E2 and E6 of Agropyron elongatum. The methods NPi(1), NPi(2), NPi(3) and NPi(4) also introduced genotypes E6 and E2 as the most stable. Biplot analysis and ranking procedure also revealed that most of the QTLs controlling yield and yield stability are located on chromosomes 2E and 6E of Agropyron. Therefore, they can be transferred to wheat through chromosome engineering for enhancement of yield and yield stability.