PJB-2022-275
EVALUATION WITH DIFFERENT ANALYSIS MODELS OF GRAIN YIELDS OF SOME BREAD WHEAT (TRITICUM AESTIVUM L.) VARIETIES IN CHANGING CLIMATIC CONDITIONS
Mehmet Karaman
Abstract
Multi environment testing helps determination stable and high yield wheat genotypes particularly for adverse abiotic stress conditions. In study, 5 bread wheat varieties widely cultivated in Southeastern Anatolia Region, were evaluated in 10 different environments terms of their adaptability and stability. The trial was established to Randomized Block Experiment Design with 4 replications. According to AMMI analysis results; the effects of cultivar, environment and cultivar x environment interaction were found to be important over grain yield at p≤0.01 level. The results of AMMI analysis showed that grain yield performance of bread wheat was greatly affected firstly by the environment (70.42%), secondly from the interaction (7.29%), showed that it was affected by the least variety (6.79%). The polygon graph obtained by GGE biplot analysis shows that 2 separate mega environments are formed, in the first mega-environment Nurkent, in the second mega environment was identified best Pehlivan cultivar. GGE biplot showed that the ideal environment for bread wheat is E9 and the ideal genotype is Nurkent. Due to the visual presentation of AMMI and GGE biplot graphs, it was concluded that visual graphs in multiple environments are useful in determining the best genotypes.
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