INTEGRATING DIFFERENT STABILITY MODELS TO INVESTIGATE HIGH YIELDING SAFFLOWER (Charthamus tinctorius L.) GENOTYPES

Abstract

This study was conducted to investigate seed yield stability of the safflower (Carthamus tinctorius L.) genotypes grown for five years (2014 – 2018) under different climate conditions of Central Anatolia Region with large differences in climate conditions year to year in Turkey. A total of 17 safflower genotypes were used in this study. Experiments were conducted in randomized blocks design with four replications. The parameters of S⁽¹⁾, S⁽²⁾, S⁽³⁾, S⁽⁶⁾, NP⁽¹⁾, NP⁽²⁾, NP⁽³⁾, NP⁽⁴⁾, Wᵢ², σ²ᵢ, s²dᵢ, bᵢ, CVi, θ₍ᵢ₎ and θᵢ, 𝘒R were used to determine seed yield stability of the genotypes. Biplot graphs were used for visual assessment of the relationships among the methods utilized. Göktürk, Dinçer, G5 and G9 genotypes were identified as stable based on majority of the methods and they had seed yields greater than the general averages (2.90, 2.85, 2.83 and 2.82 t ha-1, respectively). Based on the relationships among the methods, present parameters were divided into four groups. Present findings revealed that Group I (S⁽⁶⁾, NP⁽²⁾, NP⁽³⁾, NP⁽⁴⁾, 𝘒R) could be used as selection criteria to determine high-yield and stable genotypes. Instead of using several methods to identify stable genotypes, a single parameter from each group of methods will be sufficient. As it was in multi-environment experiments, stability analyses had significant contributions for identification of high-yield and stable genotypes in multi-year experiments. The stable and high-yield genotype G9 was registered in 2019 in Turkey under the name of “Koc”.

Keywords

• Safflower
• seed yield
• stability
• parametric
• non parametric

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