AI Article Synopsis

  • Black cumin seed oil is recognized for its medicinal and aromatic properties, with studies indicating variability in oil content and yield among different genotypes in Ethiopia.
  • A study involving 64 Ethiopian genotypes assessed biochemical traits, with significant differences found in fixed oil yield, essential oil content, and yield, indicating potential for selection to enhance these traits.
  • Principal component analysis showed that the first two components captured nearly 86% of the variance, with genotypes demonstrating sufficient diversity that can be leveraged for further improvements in oil production.

Article Abstract

Black cumin ( L.) seed oil has been used for its medicinal and aromatic values. Some studies revealed the presence of variability among genotypes in seed oil content and yield. In Ethiopia, very few studies were conducted to investigate the variability of genotypes by using biochemical traits. Thus, this study was conducted at Debre Zeit and Kulumsa Agricultural Research Centers' experimental sites under field conditions during the 2021 cropping season to investigate the variability of Ethiopian genotypes based on biochemical traits. Sixty-four genotypes were used and arranged in an 8 × 8 simple lattice design with two replications. Essential oils (EOs) and fixed oils were extracted by the respective methods of hydro distillation and solvent extraction. The univariate, bivariate, and multivariate analyses of the collected data were performed. Combined analysis of variance (ANOVA) revealed significant differences among genotypes in fixed oil yield per hectare (FOY), EO content (EOC), and EO yield per hectare (EOY). EOY had a significant positive correlation with FOY and EOC. It is expected to improve all biochemical traits by 17.39%-94.62% over the improved varieties by selection of the top 5% landraces. Therefore, genotypes 90504, 219970, and 013_ATH were the top 5% best performed landraces by FOY and EOY over the improved varieties. So, through selection, it would also be possible to improve the studied biochemical traits of the genotypes. The principal component (PC) analysis (PCA) of four biochemical traits showed 85.86% of the total variance captured by the first two PCs. EOY and FOY were the main contributor traits to the variation in the first PC, whereas FOC and EOC were the main contributor traits to the variation in the second PC. The genotypes were grouped into three different clusters based on four biochemical traits with significant intercluster distance. This showed that there was sufficient diversity among the genotypes which can be exploited for the future improvement program in Ethiopia.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC11343625PMC
http://dx.doi.org/10.1155/2024/2746560DOI Listing

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