Parametric stability analyses of multi-environment yield trials in Triticale (xTriticosecale wittmack)

Abstract

One of the main goals of Triticale (xTriticosecale Wittmack) Breeding Program of Turkey is to improve high yielding and stable genotypes across environments. In this study, 16 parametric stability methods were used to evaluate the genotype x environment interaction (GEI) in 9 (4 officially registered varieties and 5 advanced lines) triticale (xTriticosecale Wittmack) genotypes. The genotypes were evaluated for grain yield at 4 different locations for 3 years in rain-fed areas of Turkey. The testing locations have different climatic and edaphic conditions providing the conditions necessary for the assessment of stability. A combined analysis of variance, parametric stability statistics and rank correlations among them were determined. Significant differences were detected between genotypes and their GEIs. Different parametric stability statistics were used to determine stability of the studied genotypes. The level of association among the statistics was assessed using Spearman?s rank correlation. Rank-correlation coefficients between yield and some parametric stability statistics were highly significant. Genotypes mean yield was significantly correlated to the parametric stability statistics Pi (r = 0.95**), PCA1 (r = 0.87**) and Di (r = 0.98**). A principal component analysis based on rank correlation matrix was performed for grouping the different parametric stability statistics studied. In conclusion, based on most parametric stability statistics, the genotype G8 was found to be the most stable and high yielding. This genotype is, therefore, recommended for release as a cultivar for rain-fed areas of Turkey.

Stability analysis of groundnut (Arachis hypogaea L.) genotypes using AMMI and GGE biplot models and ideal genotype selection indicator

“…3). The findings reported earlier by , Ozer (2014), andGoksoyet al (2019) also support the present results on MY and Pi. In addition, a significant positive rank correlation was observed among all possible pairs of W i 2 ,σ i 2 , θ i , 2021) reported a high correlation between these statistics.…”

Impact of Climate Change on Cultivar Choice: Adaptation Strategies of Farmers and Advisors in German Cereal Production

“…The results could be presented in the German Plant Cultivar Catalogue [22] and in the official cultivar recommendations at national and regional levels. Both farmers and advisors would have access to this additional and practiced-oriented information regarding the eco-stability of cultivars to support the cultivar-selection process with regard to climate change adaptation [28].…”

Analysis of Genotype X Environment Interaction in Triticale Lines With Ammi and Pca

“…The genotype x environment interaction accounted for 15.895% of the total variation in our experiment and was significant. The researches of different authors (Gelalcha et al, 2007;Akbarian et al, 2011;Dogan et al, 2011;Lule et al, 2014;Kaya & Ozer, 2014;Kendal et al, 2019;Bocianowski et al, 2021) confirm the significance of the interaction in various studied genotypes and conditions of the environment. Only the results of Dogan et al (2009) did not show significant effect in the triticale lines they investigated both of the genotype and the genotype x environment interaction with regard to yield.…”

“…In fact, in our previous research (Stoyanov & Baychev, 2021), the results from the investigated cultivars undoubtedly demonstrated that the lines were with much higher productivity in comparison to the local and world checks. Such values have been rarely reported on the triticale genotypes; they often vary between 1 and 10% from the total variation (Gelalcha et al, 2007;Dogan et al, 2011;Kaya & Ozer, 2014;Kendal et al, 2019), while the effect of the environment may reach up to 98% (Kendal et al, 2019). Obuchowski et al (2010) and Grzesiak et al (2012) have also reported a high effect of the genotype on the yield from triticale.…”