Sesame is a food source, an oil, and a cash crop. Despite the fact that Ethiopia has a lot of potential for sesame production. The average sesame seed yield is very low due to a lack of high yielding improved sesame variety/ies. As a result, the objectives of this study were to evaluate the performance of sesame genotypes and GGEbiplot analysis; in a randomized complete block design with three replications. Fifteen sesame genotypes including standard check (Adi) were tested during the main cropping season (2014, 2015 and 2016) at three sesame growing locations: Werer, Bonta (Arage) and Miesso. Analysis of variance (ANOVA) revealed significant differences at P<0.05 was observed, signifying the presence of genotypic disparity among the tested sesame genotypes. Sesame genotypes differed significantly in terms of days to maturity, plant heigh and number of pods per plant, 1000 seed weight and seed yield per hectare. Serkamo white (G12) and Acc-44(1) (G14) genotypes outperformed the others. As a result, it had a higher grain yield and white seed color than the other genotypes tested. Because of their high seed yield and white seed color. Finally, Serkamo white (G12) genotype is expected to attract high external market preferences and prices, contributing to the future sesame export market.
| Published in | Computational Biology and Bioinformatics (Volume 10, Issue 1) |
| DOI | 10.11648/j.cbb.20221001.15 |
| Page(s) | 27-33 |
| Creative Commons |
This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited. |
| Copyright |
Copyright © The Author(s), 2022. Published by Science Publishing Group |
Genotype, GGEbiplot, Sesame, Variety, Yield
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APA Style
Mohammed Hassen, Daniel Endale. (2022). Performance Evaluation and GGEbiplot Analysis of Sesame (Sesamum indicum L.) Genotypes in Eastern Ethiopia. Computational Biology and Bioinformatics, 10(1), 27-33. https://doi.org/10.11648/j.cbb.20221001.15
ACS Style
Mohammed Hassen; Daniel Endale. Performance Evaluation and GGEbiplot Analysis of Sesame (Sesamum indicum L.) Genotypes in Eastern Ethiopia. Comput. Biol. Bioinform. 2022, 10(1), 27-33. doi: 10.11648/j.cbb.20221001.15
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Download@article{10.11648/j.cbb.20221001.15,
author = {Mohammed Hassen and Daniel Endale},
title = {Performance Evaluation and GGEbiplot Analysis of Sesame (Sesamum indicum L.) Genotypes in Eastern Ethiopia},
journal = {Computational Biology and Bioinformatics},
volume = {10},
number = {1},
pages = {27-33},
doi = {10.11648/j.cbb.20221001.15},
url = {https://doi.org/10.11648/j.cbb.20221001.15},
eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.cbb.20221001.15},
abstract = {Sesame is a food source, an oil, and a cash crop. Despite the fact that Ethiopia has a lot of potential for sesame production. The average sesame seed yield is very low due to a lack of high yielding improved sesame variety/ies. As a result, the objectives of this study were to evaluate the performance of sesame genotypes and GGEbiplot analysis; in a randomized complete block design with three replications. Fifteen sesame genotypes including standard check (Adi) were tested during the main cropping season (2014, 2015 and 2016) at three sesame growing locations: Werer, Bonta (Arage) and Miesso. Analysis of variance (ANOVA) revealed significant differences at P<0.05 was observed, signifying the presence of genotypic disparity among the tested sesame genotypes. Sesame genotypes differed significantly in terms of days to maturity, plant heigh and number of pods per plant, 1000 seed weight and seed yield per hectare. Serkamo white (G12) and Acc-44(1) (G14) genotypes outperformed the others. As a result, it had a higher grain yield and white seed color than the other genotypes tested. Because of their high seed yield and white seed color. Finally, Serkamo white (G12) genotype is expected to attract high external market preferences and prices, contributing to the future sesame export market.},
year = {2022}
}
TY - JOUR T1 - Performance Evaluation and GGEbiplot Analysis of Sesame (Sesamum indicum L.) Genotypes in Eastern Ethiopia AU - Mohammed Hassen AU - Daniel Endale Y1 - 2022/05/19 PY - 2022 N1 - https://doi.org/10.11648/j.cbb.20221001.15 DO - 10.11648/j.cbb.20221001.15 T2 - Computational Biology and Bioinformatics JF - Computational Biology and Bioinformatics JO - Computational Biology and Bioinformatics SP - 27 EP - 33 PB - Science Publishing Group SN - 2330-8281 UR - https://doi.org/10.11648/j.cbb.20221001.15 AB - Sesame is a food source, an oil, and a cash crop. Despite the fact that Ethiopia has a lot of potential for sesame production. The average sesame seed yield is very low due to a lack of high yielding improved sesame variety/ies. As a result, the objectives of this study were to evaluate the performance of sesame genotypes and GGEbiplot analysis; in a randomized complete block design with three replications. Fifteen sesame genotypes including standard check (Adi) were tested during the main cropping season (2014, 2015 and 2016) at three sesame growing locations: Werer, Bonta (Arage) and Miesso. Analysis of variance (ANOVA) revealed significant differences at P<0.05 was observed, signifying the presence of genotypic disparity among the tested sesame genotypes. Sesame genotypes differed significantly in terms of days to maturity, plant heigh and number of pods per plant, 1000 seed weight and seed yield per hectare. Serkamo white (G12) and Acc-44(1) (G14) genotypes outperformed the others. As a result, it had a higher grain yield and white seed color than the other genotypes tested. Because of their high seed yield and white seed color. Finally, Serkamo white (G12) genotype is expected to attract high external market preferences and prices, contributing to the future sesame export market. VL - 10 IS - 1 ER -
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