Evaluation of sesame (Sesamum Indicum L.) genotypes on growth and yield performance using cluster analysis and GYT biplot graph tools | ||||
| Egyptian Journal of Agronomy | ||||
| Volume 47, Issue 2, June 2025, Page 351-362 PDF (799.97 K) | ||||
| Document Type: Original Article | ||||
| DOI: 10.21608/agro.2025.332855.1552 | ||||
 View on SCiNiTO | ||||
| Authors | ||||
mona Ismail elsayed   1; Alshimaa hany Harb2; Amin Mohammed Shawky3
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| 1Central Laboratory for Design & Statistical Analysis Research, A.R.C., Giza, Egypt. | ||||
| 2Agronomy Department, Faculty of Agriculture, Cairo University, Giza, Egypt. | ||||
| 3Oil Crops Research Department, Field Crops Research Institute, A.R.C., Giza, Egypt | ||||
| Abstract | ||||
| s esame is recognized as a global oilseed crop due to its high nutritional value and potential medicinal benefits. This study evaluated 16 sesame genotypes over two seasons (2022 and 2023) to assess genetic variability, yield performance, and related parameters using multivariate analysis of seven quantitative traits. Analysis of variance revealed statistically significant differences among genotypes for all studied traits. Notably, genotypes Intro 289-1 and Hybrid 489-26 outperformed others in average yield, showing strong potential for release. The yield–trait combination (GYT) biplot, which accounted for 74.70% of the total variation, ranked Hybrid 489-26 as the top-performing high-quality genotype, followed by Intro 289-1. Cluster analysis grouped the accessions into six clusters. The second cluster showed high mean values for seed yield and number of branches per plant, making these genotypes valuable for future crossing. Crossing genotypes from different clusters may generate promising segregants for improvement programs. Significant genetic variability, as indicated by genetic parameters and correlations, provides a strong foundation for enhancing sesame genotypes. A breeding program based on hybridization among divergent clusters is recommended and can be effectively designed using these findings to develop superior sesame cultivars. Keywords: Sesame accessions, Cluster analysis, Genetic distance, GYT biplot. | ||||
| Keywords | ||||
| Sesame accessions; Cluster analysis; Genetic distance; GYT biplot | ||||
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