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| dc.contributor.author | Tesfaye Mulugeta | |
| dc.date.accessioned | 2023-06-02T07:43:42Z | |
| dc.date.available | 2023-06-02T07:43:42Z | |
| dc.date.issued | 2022-11 | |
| dc.identifier.uri | http://ir.bdu.edu.et/handle/123456789/15318 | |
| dc.description.abstract | Information on genetic variability, interrelationships between agronomic traits, and disease resistance of genotypes is prerequisite for further bread wheat improvement. Therefore, one hundred fifty bread wheat genotypes were evaluated at Enewari, Wogere, and Kulumsa using alpha lattice design in the 2021main cropping season with the objective of determining the extent of genetic variation, stripe rust resistance and association among traits. Data were collected for grain yield and yield related traits and stripe rust severity. Data were analyzed using R-software. The combined analysis of variance showed significant difference (p < 0.05) among the tested genotypes for all measured traits. Mean values for grain yield ranged from 2.84 to 6.66 ton/ha. Based on the current result, twenty-one new genotypes were found to be top yielder than the released check varieties. A small difference in genotypic and phenotypic coefficients of variation of the traits showed that the environment had little influence on the expression of the traits. High genetic advance as percent of the mean coupled with high broad sense heritability estimate was obtained in days to heading (DH), plant height (PH), and thousand kernel weight (TKW). Grain yield was positively and significantly correlated with DH (0.58), PH (0.37), TKW (0.44), DM (0.23) and NSPS (0.14), of which DH (1.1), TKW (0.48) and NSPS (0.16) had the largest direct effect on grain yield. The first three principal component analyses with eigen values greater than one accounted for 64.16% of the total measured traits variance. Cluster analysis based on the ward linkage method, grouped the genotypes into five clusters. The highest inter-cluster distance (42.25) was observed between Cluster II and Cluster V. five genotypes were found to be stripe rust resistant at all three locations. In general, the current finding revealed a high level of genetic variation for the traits studied for selection and hybridization. However, Selection and hybridization on those bread wheat genotypes can be used to develop new genotypes after the results are confirmed in additional areas and years. | en_US |
| dc.language.iso | en | en_US |
| dc.subject | Plant Breeding | en_US |
| dc.title | Assessment of Genetic Variability, Association of Traits and Stripe rust resistance in advanced bread Wheat (Triticum Aestivum L.) Genotypes in Central Highlands of Ethiopia | en_US |
| dc.type | Thesis | en_US |
