Author/Authors :
KAHRIMAN, Fatih Çanakkale Onsekiz Mart Üniversitesi - Ziraat Fakültesi - Tarımsal Biyoteknoloji Bölümü, Turkey , EGESEL, Cem Ömer Çanakkale Onsekiz Mart Üniversitesi - Ziraat Fakültesi - Tarla Bitkileri Bölümü, TURKEY , BAYTEKİN, Harun Çanakkale Onsekiz Mart Üniversitesi - Ziraat Fakültesi - Tarla Bitkileri Bölümü, Turkey , GÜL, M. Kemal Compo Gübre A.Ş., Turkey
Title Of Article :
Use of Parametric and Nonparametric Stability Statistics in Bread Wheat Cultivar Selection
Abstract :
This study gimed to evaluate the 4-year data from the wheat adaptation trials routinely carried out in the Faculty of Agriculture, Çanakkale Onsekiz Mart University with a different statistical approach, and determine the high yielding and stable varieties that could be recommended for the region. The field trials were conducted at the Dardanos Experimental Station of Onsekiz Mart University, in Çanakkale. The experiment used a randomized complete block design with 3 replications. Grain yield data of 12 varieties from 2002-2006 adaptation trials were evaluated with parametric and non-parametric stability statistics, and stable varieties for the region were determined. We used regression coefficient (bi), deviation from regression (Sdi), ecovalance (Wi), coefficient of variation (CV), Tai’s alpha (αi) and lambda (λi) as parametric statistics; and Hühn’s rank parameters Si (1), Si (2), Zi (1) and Zi (2) as nonparametric statistics. The variance analysis indicated significant differences among the genotype means, except for the first year’s data. Kaşifbey, Golia and Sana appeared to be suitable varieties for the region, based on most of the stability parameters used here. Results suggest that the stability statistics used here vary for their effectiveness in choosing varieties, and not all of the methods point out the same genotypes when determining the stability levels.
NaturalLanguageKeyword :
Stability Analysis , Genotype x Environment Interaction , Triticum aestivum
JournalTitle :
Yuzuncu Yil University Journal Of Agricultural Sciences