Linseed is one of the most important oil seed crop in the central highlands of Ethiopia for which yield enhancement is the major breeding purposes and genotypic variability is important for selection in any breeding programs. However, shortage of improved varieties’ that provides optimum seed yield is one of the major constraints of the crop. Therefore, this study was carried out to assess the genetic variability and association among quantitative traits of 36 linseed genotypes. The experiment was conducted in 2018 main cropping season by using simple lattice design. The analysis of variances reveled highly significant difference among the genotype for most of traits considered in present study. High phenotypic and genotypic coefficient of variation was recorded for tiller per plant, harvest index, oil yield (kg ha⁻¹), and seed yield (ton ha-1) number of capsules per plant. High heritability along with genetic advance was observed for seed yield (tones ha-¹), oil yield (kg ha-¹) harvest index which indicates selection of these traits at early generation would be effective. Oil yield (kg ha⁻¹) harvest index and number of capsules plant ⁻¹ showed highly significant positive with seed yield (ton ha⁻¹). Cluster analysis revealed that 36 linseed genotypes were grouped into two clusters and four genotypes remain ungrouped. The maximum inter clusters distance was observed between clusters II and the local check. The data set was reduced into four significant principal components (PCs) that comprise (80%) of the variance. The first PC accounted for 34% of the variances that implies greater proportion of variable information explained by PC1. The traits, which contributed more to PC1, were seed yield per plant, primary branches per plant, secondary branches per plant and plant height showed positive association and had positive direct effect on seed yield. This indicates that any improvement of oil yield and harvest index would result in substantial increase on seed.

亚麻籽是埃塞俄比亚中部高地最重要的油料种子作物之一，其增产是主要育种目的，而基因型变异对于任何育种计划的选择均至关重要。但是，缺少能够提供最佳种子产量的改良品种是该作物的主要制约因素之一。因此，本研究旨在评估36个亚麻籽基因型的数量性状之间的遗传变异性和关联性。该实验是在2018年主要农作物季节使用简单的格子设计进行的。对于本研究中考虑的大多数性状，方差分析揭示了基因型之间的高度显着差异。记录到每棵植物的分till，收获指数，油产量（kg ha ^-1）的高表型和基因型变异系数），以及每棵植物的胶囊种子产量（ton ha-1）数。对于种子产量（基调ha- ¹），油料产量（kg ha- ¹）收获指数，观察到高的遗传力和遗传优势，这表明在早期选择这些性状将是有效的。含油量（kg ha ^-1）收获指数和荚果植物^-1的数量与种子产量（ton ha ^-1）。聚类分析表明，将36个亚麻籽基因型分组为两个聚类，而四个基因型仍未分组。在群集II和局部检查之间观察到最大群集间距离。数据集被简化为四个重要的主成分（PC），它们构成方差的80％。第一台PC占方差的34％，这意味着PC1解释的可变信息的比例更大。对PC1贡献更大的性状是单株种子产量，单株初级分支，单株次级分支和株高显示正相关，并直接影响种子产量。这表明油料产量和收获指数的任何提高都会导致种子的大量增加。