Comparison of Parametric and Nonparametric Methods to Describe Genotype by Environment Interaction and Grain Yield Stability of Bread Wheat
| dc.contributor.advisor | Sharma, M.K. (Professer) | |
| dc.contributor.author | Awoke, Sisay | |
| dc.date.accessioned | 2018-06-28T06:24:10Z | |
| dc.date.accessioned | 2023-11-09T14:29:16Z | |
| dc.date.available | 2018-06-28T06:24:10Z | |
| dc.date.available | 2023-11-09T14:29:16Z | |
| dc.date.issued | 2013-10 | |
| dc.description.abstract | The nature and magnitude of the genotype by environment (G×E) interactions is important to identify superior and stable genotypes under the target environments. One cultivar may have the highest yield in some environments while a second cultivar may excel in others. Hence, it is important to know the magnitude of the interactions in the selection of Genotypes across several environments. Therefore, the objective of this study was to analyze genotype by environment interaction and stability of 20 Ethiopian wheat genotypes in 8 environments. The experiment was conducted during 2007/08 growing seasons in a randomized complete block design with four replications. Parametric and nonparametric statistical methods were used to test the significance of genotype by environment (G×E) interaction and to identify stable Genotypes in 8 environments. Combined A NOVA and non parametric tests Kubinger and Hildebrand) of genotype × environment interaction indicated the presence of significant interactions, as well as significant differences between genotypes and environments. However no cross-over and noncrossover interactions were detected by the de Kroon/van der Laan and Bredenkamp procedure respectively. According to the parametric methods, genotype G11, G10, G5 and G12 were stable and genotypes G16, G3, G20 & G1 were unstable. According to the nonparametric methods, genotype G11, G10, G5, G18 & G12 were stable and genotypes G3, G16, G19, G1 and G20 ii were unstable. The result shows that both the parametric and nonparametric methods gave a relatively same result. This implied that the nonparametric stability measurements are useful alternatives to parametric measurements. According to the biplot, Adet was generally categorized under high yielding wheat environment as compared to the three relatively categorized under low yielding environments (Holeta, Kulumsa and Sinana). Mean yield performance across environments was significantly positively correlated with RS and TOP measures (P<0.05 and P<0.01 respectively) and there were significant negative correlations between mean yield and si (3), si (6), NPi 2 , NPi 3 . This study recommends genotypes G19, G1 and G15 as superior genotypes in favorable environments | en_US |
| dc.identifier.uri | http://10.90.10.223:4000/handle/123456789/4360 | |
| dc.language.iso | en | en_US |
| dc.publisher | Addis Abeba university | en_US |
| dc.subject | Nonparametric Methods to Describe Genotype | en_US |
| dc.title | Comparison of Parametric and Nonparametric Methods to Describe Genotype by Environment Interaction and Grain Yield Stability of Bread Wheat | en_US |
| dc.type | Thesis | en_US |