Browsing by Author "Tekdal, Sertac"

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Application of Ammi Model for Evaulation Spring Barley Genotypes in Multi-Environment Trials
(Bangladesh Botanical Soc, 2016) Kendal, Enver; Tekdal, Sertac
The aim of study was to evaluate the yield performance of genotypes and stability, environments and G x E interaction of 12 spring barley genotypes in multi-environment trials. The trials were implemented in respect to a integrate arrangement complex style with four replications. The AMMI (Additive main effects and multiplicative interaction) analysis was made to estimate grain yield and understand G x E interaction patterns. Analysis indicated that the major contributions to treatment sum of squares were environments (81.4%), GE (10.3%) and genotypes (8.3%), respectively; suggesting that grain yield of genotypes was effected environmental conditions. PCA 1 and PCA 2 axes (Principal component) were significant (0.01) and supplied to 68.30% of the complete G x E interaction. The AMMI analysis revealed that E3 and E5 were more stable and high productive; mean while E6 and E7 were unstable and nominal efficient environments. According to stability variance, the genotypes (G1, G3, G6 and G9) were the productive and more stable; meanwhile G4 and G5 were low productive and stable genotypes. Moreover, G2 were the best productive to all environments without E2. The G x E model exposed according to AMMI analysis recommended that G2 shown candidates and registered as Kendal, because of wide adaptability with high performances in all environments.
Assessment of the Impact of Ecological Factors on Yield and Quality Parameters in Triticale Using Gge Biplot and Ammi Analysis
(Pakistan Botanical Soc, 2016) Kendal, Enver; Kendal, Enver; Aktaş, Hüsnü; Tekdal, Sertac; Aktas, Husnu; Karaman, Mehmet
We examined the effects of late spring frost on grain yield (GY) and quality of spring triticale ( x Triticosecale) genotypes, based on genotype plus genotype x environment interaction (GGE) biplot analysis. The study included a total of 25 genotypes, including 20 advanced lines, 3 triticale varieties, and 2 candidate lines. The genotypes were evaluated for GY and quality traits during the 2012/2013 (normal season) and 2013/2014 (late spring frost) seasons. We observed significant differences between seasons for GY and quality traits, as affected by changing environmental conditions over the two seasons. Late spring frost caused a statistically significant 50% reduction in GY, 7.1% reduction in test weight (TW), and 26.1% reduction in thousand grain weight (TGW); however, it positively affected protein content (PC), and it increased by 42.6%. We observed that early heading genotypes were differently affected by late spring frost, compared to late maturing genotypes, in terms of GY, TW, and TOW. The GGE biplot analysis highlighted three and four distinct groups of traits in the 2012/2013 and 2013/2014 growing seasons, respectively. Results from the GGE biplot analysis revealed that G12 and G16 were stable and ideal genotypes for all of the traits in the 2012/2013 season, and G 10 and G23 were stable and ideal for the 2013/2014 season. In addition, G10 was the best genotype averaged over the two growing seasons. The genotypes G9, G13, and 017 were more stable and higher yielding, based on Additive Main Effect and Multiplicative Interaction (AMMI) analysis, compared to the remaining genotypes.