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| dc.contributor.author | Tseganesh Blata | |
| dc.date.accessioned | 2026-06-24T08:39:32Z | |
| dc.date.available | 2026-06-24T08:39:32Z | |
| dc.date.issued | 2024-06 | |
| dc.identifier.uri | http://ir.bdu.edu.et/handle/123456789/16881 | |
| dc.description.abstract | Bread wheat is a hexaploid and one of the most staple crop. The cornerstone of a wheat breeding program is genetic variability. Hence, to assess the genetic variability and association of traits eighty-one bread wheat genotypes were tested at Adet, North Western Ethiopia in a 9x9 simple lattice design in 2023 under rainfed conditions. R software version 4.3.2 were used for all analaysis while, inter and intra cluster distance was done by SAS software version 9.4. The analaysis of variance showed that a significant difference for days to heading, days to maturity, grain filling period, plant height, spike length, number of spikelets per spike, number of kernels per spikelet, kernel per spike, biomass yield, grain yield, harvest index, thousand kernel weight, hectoliter weight, grain protein content, starch content, wet gluten content and zeleny sedimentation value indicating the presence of considerable variability among genotypes. High GCV (20.46%) and PCV (24.33%) were observed for grain yield. Broad sense heritability ranged from 20.48% for the harvest index to 95.08% for days to heading. The highest genetic advance as a percent of the mean was recorded for above ground biomass yield (29.51), thousand kernel weight (29.82) and grain yield (35.14). Grain yield had a highly significant and positive correlation with plant height, kernel per spikelets, kernel per spike, above-ground biomass, thousand-kernel weight, hectoliter weight, and starch content at the genotypic and phenotypic levels suggesting the possibility of using these traits for indirect selection. Path coefficient analysis showed above-ground biomass followed by harvest index had the highest positive direct effect on grain yield at genotypic and phenotypic level. The highest inter-cluster distance was exerted between clusters II and III (D 2 =36.96) indicating that the opportunity for improvement through hybridization. The first six principal components accounted for 80.5% of the total variation. In the present result, greater attention needs to be given, to kernel per spikelet, biomass yield, thousand kernel weight, harvest index, and starch content, as a result of the highly significant positive correlation and direct positive effects on grain yield. | en_US |
| dc.language.iso | en | en_US |
| dc.subject | Plant Breeding | en_US |
| dc.title | Genetic Variability and Association of Traits in Bread Wheat (Triticum Aestivum L.) Genotypes at Adet, north Western Ethiopia | en_US |
| dc.type | Thesis | en_US |
