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<p>The current research was carried out to evaluate genetic diversity and trait relationships in advanced rapeseed genotypes. This investigation took place at the Holetta agricultural research center during the years 2019 to 2020. A field experiment was organized utilizing a simple lattice design (5 × 5) comprising 25 rapeseed genotypes. Various agro-morphological traits were measured, and the data were analyzed using a combination of software tools. The findings of this research indicated a high phenotypic coefficient of variation alongside a low genotypic coefficient of variation, suggesting a significant environmental impact on the expression of the traits examined. Seed yield per hectare exhibited a positive and significant phenotypic correlation with both oil yield and thousand seed weight. This implies that considering these traits indirectly could enhance seed yield per hectare. Notably, oil yield, days to maturity, and thousand seed yield per hectare demonstrated strong direct genotypic effects on seed yield per hectare. The first three principal components, which had Eigen values exceeding one, accounted for 85% of the total variation, indicating that the remaining 15% was likely due to errors or factors not included in this study. The clustering of the evaluated genotypes into five distinct groups, as determined by cluster analysis, highlighted the variability among the genotypes concerning the traits analyzed in this research. Significant differences were observed between the clusters based on the intra- and inter-cluster distance tests. It is recommended that studies of this nature be conducted throughout the entire year and at various seasonal intervals or across multiple locations to optimize the results obtained.</p>

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Assessment of performance and estimation of variability in rapeseed (Brassica nappus L.) genotypes

  • 期刊论文

  • 出版模式：

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  • 发表日期：

    2026年1月24日

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  • Mohammed Abu,
  • Birhanu Mengistu,
  • Tilahun Mola,
  • Misteru Tesfaye,
  • Yared Semahegn,
  • Fekadu Amsalu

摘要

The current research was carried out to evaluate genetic diversity and trait relationships in advanced rapeseed genotypes. This investigation took place at the Holetta agricultural research center during the years 2019 to 2020. A field experiment was organized utilizing a simple lattice design (5 × 5) comprising 25 rapeseed genotypes. Various agro-morphological traits were measured, and the data were analyzed using a combination of software tools. The findings of this research indicated a high phenotypic coefficient of variation alongside a low genotypic coefficient of variation, suggesting a significant environmental impact on the expression of the traits examined. Seed yield per hectare exhibited a positive and significant phenotypic correlation with both oil yield and thousand seed weight. This implies that considering these traits indirectly could enhance seed yield per hectare. Notably, oil yield, days to maturity, and thousand seed yield per hectare demonstrated strong direct genotypic effects on seed yield per hectare. The first three principal components, which had Eigen values exceeding one, accounted for 85% of the total variation, indicating that the remaining 15% was likely due to errors or factors not included in this study. The clustering of the evaluated genotypes into five distinct groups, as determined by cluster analysis, highlighted the variability among the genotypes concerning the traits analyzed in this research. Significant differences were observed between the clusters based on the intra- and inter-cluster distance tests. It is recommended that studies of this nature be conducted throughout the entire year and at various seasonal intervals or across multiple locations to optimize the results obtained.