Mean, regression coefficient, ecovalence and interaction variance as predictors of stability in sunflower

Stability performance of fifteen sunflower genotypes was studied in replicated field trials under four different environments. The genotype x environment interactions for seed yield were measured by using four parameters, viz., mean seed yield, linear regression (bi), ecovalence (wi2), and interacti...

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Bibliographic Details
Published inScientific Khyber (Pakistan) Vol. 9; no. 2
Main Authors Swati, Z.A. (NWFP Agricultural Univ., Peshawar (Pakistan)), Iqbal, M, Rana, M.A, Shah, S.Z
Format Journal Article
LanguageEnglish
Published 01.07.1996
Subjects
AGRONOMIC CHARACTERS
CROP YIELD
GENETIC STABILITY
GENOTYPE ENVIRONMENT INTERACTION
GENOTYPES
HELIANTHUS ANNUUS
STATISTICAL METHODS
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Summary:Stability performance of fifteen sunflower genotypes was studied in replicated field trials under four different environments. The genotype x environment interactions for seed yield were measured by using four parameters, viz., mean seed yield, linear regression (bi), ecovalence (wi2), and interaction variance (6i). Among the genotypes studied, NK-212, NSH-70, NSH-45, and Euroflor with high mean seed yield, regression coefficient near unity, least ecovalence values were proved to be the most stable genotypes. While NSH-64 and NSH-84 were found to be specially adapted to favorable environments, whereas Hysun-33, NK-265, NK-277 and Sunx-843 had lower stability but because of above average seed yield showed adaptability to low yielding environments.
Bibliography:1998000445
F30
ISSN:1017-3471