Performance Evaluation and GGEbiplot Analysis of Sesame (<i>Sesamum indicum</i> L.) Genotypes in Eastern Ethiopia

Mohammed Hassen; Daniel Endale

doi:doi:10.11648/j.cbb.20221001.15

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Performance Evaluation and GGEbiplot Analysis of Sesame (Sesamum indicum L.) Genotypes in Eastern Ethiopia

Mohammed Hassen, Daniel Endale

Published in Computational Biology and Bioinformatics (Volume 10, Issue 1)

Received: 3 April 2022 Accepted: 28 April 2022 Published: 19 May 2022

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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.

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), 2024. Published by Science Publishing Group

Keywords

Genotype, GGEbiplot, Sesame, Variety, Yield

References

[1]	Bedigian, D. (2015). Systematics and evolution in Sesamum indicum L., part 1: Evidence regarding the origin of sesame and its closest relatives. Webbia, 70 (1): 1-42.
[2]	Morinaga, T., Fukushima, E., Kano, T., Maruyama, Y., Yamasaki, Y. (1929). Chromosome numbers of cultivated plants II. Shokubutsugaku Zasshi, 43 (515): 589-594.
[3]	Weiss EA. (1983). Sesame. In Oilseed Crops. Longman, London. Pp. 282-340.
[4]	FAOSTAT. (2022). https://www.fao.org/faostat/en/#data/QCL/visualize.accessed.March 21, 2022.
[5]	Dagmawi T, Kassahun T and Endashaw B. (2015). Genetic diversity of sesame germplasm collection (Sesamumindicum L.): implication for conservation, improvement and use. Int. J. for Biotechnol. Mol. Biol. Res. 6 (2). 7-18.
[6]	Baraki, F., Tsehaye Y., Abay, F. (2019). Grain yield performance and stability analysis of sesame (Sesamum indicum L.) genotypes in Western Tigray, Ethiopia. Journal of Experimental Agriculture International. 1-9.
[7]	Baraki. F. (2014). AMMI Analysis of Genotype x Environment (G×E) Interaction and Stability of Sesame Genotypes in Northern Ethiopia. Results of Crop Research.
[8]	Yirgalem, T.; Sintayehu, A. and Geremew, T. (2012). Extent and pattern of the genetic diversity for morpho-agronomic Traits in Ethiopian sesame landraces (sesamum indicum L.) Asian Journal of Agricultural Research, 6: 118-128.
[9]	Teklu, D. H., Kebede, S. A. and Gebremichael, D. E. (2014). Assessment of genetic variability, genetic advance, correlation and path analysis for morphological traits in sesame genotypes. Asian journal of agricultural research, 8 (4), pp. 181-194.
[10]	Mesera, T. and Mitiku, M. (2015). Performance evaluation of sesame (Sesamum indicum L.) varieties in lowland area of South Omo zone, Ethiopia. Intl. J. Agric. Sci, 7 (2), 434-439.
[11]	Yan, W., and Tinker, N. A. (2006). Biplot analysis of multi-environment trial data: Principles and applications. Canadian journal of plant science, 86 (3): 623-645.
[12]	Daba C, Ayana A, Zeleke H and Wakjira A. (2015). Genotype x Environment interactions for seed yield in Sesame in western Ethiopia. East African Journal of Sciences, 9 (2), pp. 85-96.
[13]	Abay F. (2014). AMMI Analysis of Genotype x Environment Interaction and Stability of Sesame Genotypes in Northern Ethiopia.

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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

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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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AMA 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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@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}
}

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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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Author Information

Mohammed Hassen

Ethiopian Institute of Agricultural Research (EIAR), Wolkite Agricultural Research Center (WkARC), Wolkite, Ethiopia
Daniel Endale

Ethiopian Institute of Agricultural Research (EIAR), Werer Agricultural Research Center (WARC), Werer, Ethiopia

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Plain Text BibTeX RIS

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

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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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AMA 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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@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}
}

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