American Journal of Life Sciences

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Genotype x Environment Interaction and AMMI Analysis of Oil Yield Sesame (Sesamum indicum L.) Genotypes in Northern Ethiopia

Received: 11 March 2020    Accepted: 03 April 2020    Published: 28 September 2020
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Abstract

The study was conducted to evaluate the nature and magnitude of Genotype x Environment Interaction (GEI) for oil yield of sesame genotypes and to identify stable and promising genotypes for general and specific adaptations across sesame growing areas of northern Ethiopia: Humera, Dansha, Maykadra, Sheraro, Wargiba and Gendawuha. Randomized Complete Block Designs (RCBD) with three replications across all the environments used. Seventeen white seeded sesame genotypes were evaluated in all locations. The combined analysis of variance revealed that highly significance difference (p<0.001) among genotypes, environments and GEI for oil yield. The grand mean oil yield over six environments was 296.6kg/ha and the mean oil yield of genotypes across six environments ranged between 125.48kg/ha in Humera to 531.21kg/ha in Sheraro, respectively. High mean oil yield variation was detected among genotypes ranged between 193.6 kg/ha for G8 and 409.4kg/ha for G1 respectively. The oil yield of genotypes varied to different environments with rank changed, this variation among genotypes indicating that selection should be based on mean oil yield performances of the genotypes to their respective environments. According to stability models, AMMI Stability Value (ASV), Yield Stability Index (YSI) and Environmental Index (EI) land racegumero and HuRC-4 were identified as the most stable and higheroil yield were recommended for wider areas. While, HuRC-2and Acc 227880 were unstable accompanied with high oil yield performance will be recommended for specific environments.

DOI 10.11648/j.ajls.20200805.22
Published in American Journal of Life Sciences (Volume 8, Issue 5, October 2020)
Page(s) 165-171
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

ASV, GEI, Oil Yield, Northern Ethiopia, White Seeded Sesame, YSI

References
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[2] Anilakumar, R. K., Pal, A., Khanum, F. and Bawa, A. S. (2010). Nutritional, medicinal and industrial uses of Sesame (Sesamum indicum L.) Seeds, Agriculturae Conspectus Scientificus, 75 (4): 159-168.
[3] Seegler, C. J. P. (1983). Oil plants in Ethiopia, their plants and Agriculture Significance. PUUDOC, Wageningen, The nether lands.
[4] Weiss, E. A. (2000). Oilseed Crops. 2nd ed. Blackwell Science ltd., London. pp: 660.
[5] Ghafoor, A., Arshad, I. A. and Muhammad, F. (2005). Stability and adaptability analysis in sunflower from eight locations in Pakistan. Journal of Applied Science, 5 (1): 118-121.
[6] Yebio, W., Fanous, M., Coulman, B. and Omran, A. (1993). Genotype x environment study on sesame in Ethiopia. In: Oil Crops Newsletter: The IDRC Oilcrops Network Project and the Institute of Agricultural Research. In (Omran A. (ed.). No. 8, A. A., Ethiopia. pp: 23-27.
[7] Mekonnen Misganaw, FirewMekbib and Adugna Wakjira. (2015). GEI interaction of sesame (Sesamum indicum L.) in Eastern Amhara region, Ethiopia. African Journal of Agricultural Research, 10 (21): 2226-2239.
[8] Mohammed and Firew. (2015). Phenotypic Stability Analysis of Oil Yield in Sesame (Sesamum indicum L.) Varieties across the Awash Valleys in Ethiopia. Journal of Advances in Agriculture, (5): 2, 650-657.
[9] Gauch, H. G. (1988). Model selection and validation for yield trials with interaction, Biometrics, 44, Pp. 705-715.
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[12] Bereket and Yirgalem. (2012). Report for soil and metrological data Ethiopia Meteorology Agency Tigray branch, Meteorology data for (Dansha, Humera, and Maykadra).
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[14] Humera Agricultural Research Center (2019) annual report.
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[16] Abdurahman Beshir. (2009). Genotype by Environment Interaction and yield stability of Maize hybrids evaluated in Ethiopia, M. Sc. thesis, Department of Plant Sciences/Plant Breeding.
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[18] Cattell, R. B. (1966) The Scree test for the number of factors. Multivariate behavioral research, 1, pp. 245-276.
[19] GenStat. (2009). Gen Stat for Windows (16th Edition) Introduction. VSN International, Hemel Hempstead.
[20] Gauch, H. G. and Zobel, R. W. (1997). Identifying mega environments and targeting genotypes. Crop Science, 37: 311-326.
[21] Farshadfar, E., Vaisi, Z. and Yaghotipoor, A. (2011). Non parametric estimation of phenotypic stability in Wheat-barley disomic addition lines, Annals of Biological Research, 2 (6): 586-598.
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[23] Mohammed. (2015). Genotype x Environment analysis for seed yield and its components in sesame (Sesamum indicum L.) evaluated across diverse agro-ecologies of the awash valleys in Ethiopia. Journal of Advanced Studies in Agricultural, Biological and Environmental Sciences, (2), 4: 1-14. 432.
[24] Fiseha Baraki, Yemane Tsehaye and Fetien Abay. (2015). AMMI analysis of Genotype x Environment interaction and stability analysis of sesame genotypes in northern Ethiopia. Asian Journal of Plant Science, 13 (4-8): 178-183.
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Author Information
  • Crop Department, Humera Agricultural Research Center (HuARC), Tigray, Ethiopia

  • College of Agriculture and Environmental Science, School of Plant Science, Department of Plant Breeding and Genetics, Haramya University, Dire Dawa, Ethiopia

  • Crop Department, Tigray Agricultural Research Institute (TARI) General Director, Tigray, Ethiopia

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    Yirga Belay Kindeya, Firew Mekbib, Eyasu Abraha Alle. (2020). Genotype x Environment Interaction and AMMI Analysis of Oil Yield Sesame (Sesamum indicum L.) Genotypes in Northern Ethiopia. American Journal of Life Sciences, 8(5), 165-171. https://doi.org/10.11648/j.ajls.20200805.22

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    ACS Style

    Yirga Belay Kindeya; Firew Mekbib; Eyasu Abraha Alle. Genotype x Environment Interaction and AMMI Analysis of Oil Yield Sesame (Sesamum indicum L.) Genotypes in Northern Ethiopia. Am. J. Life Sci. 2020, 8(5), 165-171. doi: 10.11648/j.ajls.20200805.22

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    AMA Style

    Yirga Belay Kindeya, Firew Mekbib, Eyasu Abraha Alle. Genotype x Environment Interaction and AMMI Analysis of Oil Yield Sesame (Sesamum indicum L.) Genotypes in Northern Ethiopia. Am J Life Sci. 2020;8(5):165-171. doi: 10.11648/j.ajls.20200805.22

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  • @article{10.11648/j.ajls.20200805.22,
      author = {Yirga Belay Kindeya and Firew Mekbib and Eyasu Abraha Alle},
      title = {Genotype x Environment Interaction and AMMI Analysis of Oil Yield Sesame (Sesamum indicum L.) Genotypes in Northern Ethiopia},
      journal = {American Journal of Life Sciences},
      volume = {8},
      number = {5},
      pages = {165-171},
      doi = {10.11648/j.ajls.20200805.22},
      url = {https://doi.org/10.11648/j.ajls.20200805.22},
      eprint = {https://download.sciencepg.com/pdf/10.11648.j.ajls.20200805.22},
      abstract = {The study was conducted to evaluate the nature and magnitude of Genotype x Environment Interaction (GEI) for oil yield of sesame genotypes and to identify stable and promising genotypes for general and specific adaptations across sesame growing areas of northern Ethiopia: Humera, Dansha, Maykadra, Sheraro, Wargiba and Gendawuha. Randomized Complete Block Designs (RCBD) with three replications across all the environments used. Seventeen white seeded sesame genotypes were evaluated in all locations. The combined analysis of variance revealed that highly significance difference (p<0.001) among genotypes, environments and GEI for oil yield. The grand mean oil yield over six environments was 296.6kg/ha and the mean oil yield of genotypes across six environments ranged between 125.48kg/ha in Humera to 531.21kg/ha in Sheraro, respectively. High mean oil yield variation was detected among genotypes ranged between 193.6 kg/ha for G8 and 409.4kg/ha for G1 respectively. The oil yield of genotypes varied to different environments with rank changed, this variation among genotypes indicating that selection should be based on mean oil yield performances of the genotypes to their respective environments. According to stability models, AMMI Stability Value (ASV), Yield Stability Index (YSI) and Environmental Index (EI) land racegumero and HuRC-4 were identified as the most stable and higheroil yield were recommended for wider areas. While, HuRC-2and Acc 227880 were unstable accompanied with high oil yield performance will be recommended for specific environments.},
     year = {2020}
    }
    

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    AB  - The study was conducted to evaluate the nature and magnitude of Genotype x Environment Interaction (GEI) for oil yield of sesame genotypes and to identify stable and promising genotypes for general and specific adaptations across sesame growing areas of northern Ethiopia: Humera, Dansha, Maykadra, Sheraro, Wargiba and Gendawuha. Randomized Complete Block Designs (RCBD) with three replications across all the environments used. Seventeen white seeded sesame genotypes were evaluated in all locations. The combined analysis of variance revealed that highly significance difference (p<0.001) among genotypes, environments and GEI for oil yield. The grand mean oil yield over six environments was 296.6kg/ha and the mean oil yield of genotypes across six environments ranged between 125.48kg/ha in Humera to 531.21kg/ha in Sheraro, respectively. High mean oil yield variation was detected among genotypes ranged between 193.6 kg/ha for G8 and 409.4kg/ha for G1 respectively. The oil yield of genotypes varied to different environments with rank changed, this variation among genotypes indicating that selection should be based on mean oil yield performances of the genotypes to their respective environments. According to stability models, AMMI Stability Value (ASV), Yield Stability Index (YSI) and Environmental Index (EI) land racegumero and HuRC-4 were identified as the most stable and higheroil yield were recommended for wider areas. While, HuRC-2and Acc 227880 were unstable accompanied with high oil yield performance will be recommended for specific environments.
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