Tef (Eragrostis tef (zucc.) is one of the major cereal crop grown in Ethiopia where it is staple food for about 50 million people. Among many factors contributed to low production and productivity of tef lack of widely adopted improved tef variety is one of the factors. The experiment was conducted in south western Ethiopia across six test locations during the 2019 cropping seasons to study the nature of GEI on grain yield of tef and to classify environments based on the performance of genotypes. A total of seven tef varieties were laid out randomized complete block design with three replicates at each site. The Analysis of variance revealed highly significant difference for environment, genotype and genotype by environment interaction (p<0.001). Large proportion of the variation was explained by the environmental effect (69.22%) followed by the GEI effect (20.19%) and genotypes (7.5%) of the overall variation. GGE biplot analysis showed that PC1 and PC2 accounted for 42.37% and 30.42% of GGE sum of squares, respectively, explained 72.79% of the total variance. The six locations were divided in to three mega environments G28, G22 and G25 being the best varieties in each of the mega environments. However, G28 had the highest stability out of these three varieties. E6, E5 and E3 were ideal environments or the most suitable taste location for Teff breeding in the region, while E4 followed by E1 and E2 is a less desirable as testing environment.
| Published in | Advances in Biochemistry (Volume 8, Issue 4) |
| DOI | 10.11648/j.ab.20200804.12 |
| Page(s) | 62-67 |
| 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 |
Biplots Analysis, Genotype by Environment Interaction, GGE, Grain Yield, Stability, Tef
| [1] | Vavilov, I. (1951). The origin, variation, immunity and breeding of cultivated plants. Translated from the Russian by K. Starrchester Ronald Press, New York. |
| [2] | Kebebew A., Gina C., Dejene G., Rizqah K., Solomon C., Sonia Pl., Regula Blösch, Abiel R., Suhail R. and Zerihun T. (2015). Genetic diversity in tef [Eragrostis tef (Zucc.) Trotter]. Frontiers in Plant Science 6 (177): 1-13. |
| [3] | CSA (Central Statistical Agency) (2017). Agricultural Sample Survey 2016/17 (2009 E. C.), Vol. I. Report on Area and Production of Major Crops, (Private Peasant Holdings, Meher Season), Statistical Bulletin 584, Addis Ababa, Ethiopia. |
| [4] | Seyfu, K. (1997). Tef. (Eragrostis tef (Zucc.) Trotter Promoting the Conservation and Use of Underutilized and Neglected Crops. Institute of Plant Genetics and Crop Plant Research, Gatersleben (International Plant Genetic Resources Institute), Rome, Italy. |
| [5] | Kebebew, A., Yu, J. K., Zeid, M., Getachew B., Hailu T. and Sorrells, M. E. (2011). Breeding tef [Eragrostis tef (Zucc.) Trotter]; Conventional and molecular approaches. Plant Breeding, 130: 1-9. |
| [6] | Likyelesh, G. and Loerz, H. (2013). Male sterility and gametoclonal variations from gynogenically derived polyploids of tef (Eragrostis tef), Zucc. Trotter. African Journal of Plant Science, 7 (2): 53-60. |
| [7] | Tiruneh, K. (2000). Genotype × Environment Interaction in tef [Eragrostis tef (Zucc.) Trotter]. In: Hailu T., Getchew, B. and M. E. Sorrells. (eds.) Narrowing the Rift: Tef Research and Development. Proceeding of the international workshop on tef genetics and improvement. 145-156. October 16-19, 2000, Addis Ababa, Ethiopia. |
| [8] | Yan W, M Kang, B Ma, S Woods, and P Cornelius (2007). GGE biplot vs AMMI analysis of genotype-byenvironment data. Crop Sci. 47, 643–655. |
| [9] | Yan W, and M S Kang (2003). GGE biplot analysis: A graphical tool for breeders, geneticists, and agronomists. CRC Press LLC. |
| [10] | Matus-Cadiz M A, P Hucl, C E Perron, and R T Tyler (2003). Genotype x Environment interaction for grain color in hard white spring wheat. Crop Sci. 43, 219-226. |
| [11] | Fufa, H., Hailu T., Kebebew A., Tesfaye T., Tiruneh K. and Girma T. (2000). Grain yield stability in late maturing genotypes of tef [Eragrostis tef (zucc.) Trotter]. Journal of Genetics and Breeding, 54: 13-18. |
| [12] | L. D. Kassa, Marie F. Smith & H. Fufa (2006). Stability analysis of grain yield of tef (Eragrostistef) using the mixed model approach, South African Journal of Plant and Soil, 23: 1, 38-42. |
| [13] | Mathewos, A, and Getachew, B. (2012). Genotype x Environment interaction analysis of tef grown in southern Ethiopia using Additive Main Effects and Multiplicative Interaction Model. Journal of Biology, Agriculture and Healthcare, 2 (1): 66-72. |
| [14] | Yazachew Genet, Tsion Fikre, Worku Kebede, Solomon Chanyalew, Kidist Tolosa, Kebebew Assefa (2020). Performance of Selected Tef Genotype for High Potential Areas of Ethiopia. Ecology and Evolutionary Biology. Vol. 5, No. 3, pp. 35-42. |
| [15] | GenStat. (2015). GenStat for Windows (18th Edition) Introduction. VSN International, Hemel Hempstead. |
| [16] | Gauch, H. G. and Zobel, R. W. (1997). Identifying mega-environments and targeting genotypes. Crop Science 37 (2): 311-326. |
| [17] | Yan, W., Hunt, A., Sheng Q. & Szlavnics Z. (2000). Cultivar evaluation and mega environment investigation based on the GGE biplot. Crop Sci. 40: 597-605. |
| [18] | Yan & Tinker., (2006). Biplot analysis of multi-environment trial data: Principles and applications. Canadian J. Plant Sci., 6 (3): 623-645. |
| [19] | Yan, W. (2001). GGE biplot a Windows application for graphical analysis of multi- environment trial data and other types of two-way data. Agro, J. 93: 1111–1118. |
| [20] | Yan W, Hunt LA (2001). Interpretation of genotype× environment interaction for winterwheat yield in Ontario. Crop Sci. 41: 19-25. |
| [21] | Akter, A., Hasan, M. J., Kulsum, U., Rahman, M. H., Khatun, M. and Islam, M. R., (2015). GGE biplot analysis for yield stability in multi-environment trials of promising hybrid rice (Oryza sativa L.). Bangladesh Rice Journal, 19 (1), pp. 1-8. |
| [22] | Naheif, E, M Mohammad, 2013. Genotype x environment interactions for grain yield in bread wheat (Triticum aestivum L.). Global Sci. Res. J. 1 (1): 045-052. |
| [23] | Yan, W., and I. Rajcan (2002). Biplot evaluation of test sites and trait relations of soybean in Ontario. Crop Sci. 42: 11-20. |
| [24] | Farshadfar, E., Geravandi, M. and Vaisi, Z. (2012). Chromosomal localization of QTLs controlling genotype × environment Interactions in barley, International Journal of Agriculture and Crop Sciences, 4 (6): 317-324. |
| [25] | Kaya, Y., Akçura, M. and Taner, S. (2006). GGE-biplot analysis of multi-environment yield trials in bread wheat. Turkish Journal of Agriculture and Forestry, 30 (5), pp. 325-337. |
| [26] | Mitrovic B, Stanisavljevi D, Treski S, Stojakovic M, Ivanovic M, Bekavac G, and Rajkovic M. (2012). Evaluation of experimental Maize hybrids tested in Multi-location trials using AMMI and GGE biplot analysis. Turkish Journal of Field Crops, 17 (1): 35-40. |
| [27] | Yan, W., L. A. Hunt, Q. Sheng and Z. Szlavnics (2000). Cultivar evaluation and mega environment investigation based on the GGE biplot. Crop Science, 40: 597-605. |
APA Style
Afework Legesse, Tegegn Belete. (2020). GGE Biplot Stability Analysis of Seed Yield in Teff (Eragrostis tef (zucc.) Varieties in South West Ethiopia. Advances in Biochemistry, 8(4), 62-67. https://doi.org/10.11648/j.ab.20200804.12
ACS Style
Afework Legesse; Tegegn Belete. GGE Biplot Stability Analysis of Seed Yield in Teff (Eragrostis tef (zucc.) Varieties in South West Ethiopia. Adv. Biochem. 2020, 8(4), 62-67. doi: 10.11648/j.ab.20200804.12
AMA Style
Afework Legesse, Tegegn Belete. GGE Biplot Stability Analysis of Seed Yield in Teff (Eragrostis tef (zucc.) Varieties in South West Ethiopia. Adv Biochem. 2020;8(4):62-67. doi: 10.11648/j.ab.20200804.12
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Download@article{10.11648/j.ab.20200804.12,
author = {Afework Legesse and Tegegn Belete},
title = {GGE Biplot Stability Analysis of Seed Yield in Teff (Eragrostis tef (zucc.) Varieties in South West Ethiopia},
journal = {Advances in Biochemistry},
volume = {8},
number = {4},
pages = {62-67},
doi = {10.11648/j.ab.20200804.12},
url = {https://doi.org/10.11648/j.ab.20200804.12},
eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ab.20200804.12},
abstract = {Tef (Eragrostis tef (zucc.) is one of the major cereal crop grown in Ethiopia where it is staple food for about 50 million people. Among many factors contributed to low production and productivity of tef lack of widely adopted improved tef variety is one of the factors. The experiment was conducted in south western Ethiopia across six test locations during the 2019 cropping seasons to study the nature of GEI on grain yield of tef and to classify environments based on the performance of genotypes. A total of seven tef varieties were laid out randomized complete block design with three replicates at each site. The Analysis of variance revealed highly significant difference for environment, genotype and genotype by environment interaction (p<0.001). Large proportion of the variation was explained by the environmental effect (69.22%) followed by the GEI effect (20.19%) and genotypes (7.5%) of the overall variation. GGE biplot analysis showed that PC1 and PC2 accounted for 42.37% and 30.42% of GGE sum of squares, respectively, explained 72.79% of the total variance. The six locations were divided in to three mega environments G28, G22 and G25 being the best varieties in each of the mega environments. However, G28 had the highest stability out of these three varieties. E6, E5 and E3 were ideal environments or the most suitable taste location for Teff breeding in the region, while E4 followed by E1 and E2 is a less desirable as testing environment.},
year = {2020}
}
TY - JOUR T1 - GGE Biplot Stability Analysis of Seed Yield in Teff (Eragrostis tef (zucc.) Varieties in South West Ethiopia AU - Afework Legesse AU - Tegegn Belete Y1 - 2020/12/28 PY - 2020 N1 - https://doi.org/10.11648/j.ab.20200804.12 DO - 10.11648/j.ab.20200804.12 T2 - Advances in Biochemistry JF - Advances in Biochemistry JO - Advances in Biochemistry SP - 62 EP - 67 PB - Science Publishing Group SN - 2329-0862 UR - https://doi.org/10.11648/j.ab.20200804.12 AB - Tef (Eragrostis tef (zucc.) is one of the major cereal crop grown in Ethiopia where it is staple food for about 50 million people. Among many factors contributed to low production and productivity of tef lack of widely adopted improved tef variety is one of the factors. The experiment was conducted in south western Ethiopia across six test locations during the 2019 cropping seasons to study the nature of GEI on grain yield of tef and to classify environments based on the performance of genotypes. A total of seven tef varieties were laid out randomized complete block design with three replicates at each site. The Analysis of variance revealed highly significant difference for environment, genotype and genotype by environment interaction (p<0.001). Large proportion of the variation was explained by the environmental effect (69.22%) followed by the GEI effect (20.19%) and genotypes (7.5%) of the overall variation. GGE biplot analysis showed that PC1 and PC2 accounted for 42.37% and 30.42% of GGE sum of squares, respectively, explained 72.79% of the total variance. The six locations were divided in to three mega environments G28, G22 and G25 being the best varieties in each of the mega environments. However, G28 had the highest stability out of these three varieties. E6, E5 and E3 were ideal environments or the most suitable taste location for Teff breeding in the region, while E4 followed by E1 and E2 is a less desirable as testing environment. VL - 8 IS - 4 ER -
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