A multi-locations’ experiments were carried out from 2018 to 2019 main cropping seasons in moisture stress areas of Ethiopia to estimate the genotype x environment interaction and to select stable and adaptable variety/ies for grain yield of bread wheat. The genotypes consisted of 23 genotypes and two standard checks arranged in alpha lattice design replicated three times. Data were taken for agronomic traits and diseases. Analysis of variances and stability analysis were carried out for grain yield using R software. Combined analysis of variance showed a highly significant (p≤0.01) difference among the genotypes, locations, and GEI for grain yield suggesting a differential response of genotypes across testing environments. The grand mean yield over nine environments was 5251.90 kg ha-1 and the mean yield of genotypes across nine environments ranged from 1539.29 kg ha-1 in 2018 at Dhera to 7621.87 kg ha-1 in 2018 at Kulumsa, respectively. The recorded mean yield of the standard check Deka (5066.543 kg ha-1) and Ogolcho (4018.39 kg ha-1) was below the grand mean yield of genotypes across environments. The Genotypes ETBW 9136 (5731.79 kg ha-1), ETBW 9139 (5844.87 kg ha-1), ETBW 9646 (5754.01 kg ha-1), ETBW9172 (5634.01 kg ha-1), ETBW9641 (5545.03 kg ha-1), ETBW 9080 (5545.31 kg ha-1) and ETBW9396 (5467.04 kg ha-1) gave the highest mean grain yield across environments, whereas the standard check Ogolcho recorded lowest mean grain yield across environments. The first four principal components of the GEI explained 85.6% of the variation. Additive main effects and multiplicative interaction (AMMI) stability parameters revealed that the genotypes ETBW 9080 (G11), ETBW 9172 (G12), ETBW 9646 (G19), ETBW 9396 (G13), ETBW 9452 (G14), ETBW 9136 (G5) and ETBW 9139 (G6) were high yielder and more stable inferring little interaction of genotypes with the environment whereas Ogolcho (G25), ETBW 9119 (G3), ETBW 9647 (G20) and ETBW 9065 (G8) was low yielder and unstable suggesting high interaction with the environments. Based on stability parameters and other agronomic traits, the genotypes viz. ETBW 9396 (G13) and ETBW 9080 (G11), were proposed for variety verification and possible release in 2021.
| Published in | American Journal of Plant Biology (Volume 6, Issue 3) |
| DOI | 10.11648/j.ajpb.20210603.12 |
| Page(s) | 44-52 |
| 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), 2021. Published by Science Publishing Group |
Ethiopia, Genotype by Environment Interaction, Grain Yield, Moisture Stress Areas, Stability Analysis, Triticum Aestivum
| [1] | Adugna, W. & Labuschagne, M. T., 2002. Genotype-environment interactions and phenotypic stability analyses of linseed in Ethiopia. Plant Breeding 121, 66-71. |
| [2] | Bradu, D., and K. R. Gabriel. 1978. The biplot as a diagnostic tool for models of two-way tables. Technometrics 20: 47-68. |
| [3] | Central Statistical Agency. CSA. 2018. Agricultural sample survey 2017/18 (2010 E.C.) Volume 1. Report on area and production of major crops (Private peasant holdings, Mehere season). Statistical Bulletin 586. Addis Ababa, Ethiopia. |
| [4] | Eberhart, S. A. and Russell, W. A. 1966. Stability parameter for comparing varieties. Crop Science 6: 36-40. |
| [5] | Falconer DS. 1952. The problem of environment and selection. The American Naturalist. 86: 293–298. |
| [6] | Fan, X.-M., M. S. Kang, H. Chen, Y. Zhang, J. Tan and C. Xu. 2007. Yield Stability of Maize Hybrids Evaluated in Multi Environment Trials in Yunnan, China. Agronomy Journal, 99: 220. |
| [7] | Farshadfar E (2008) Incorporation of AMMI stability value and grain yield in a single non-parametric index (GSI) in bread wheat. Pak J Biol Sci 11 (14): 1791-1796. |
| [8] | Fernandez GCJ. 1991. Analysis of genotype x environment interaction by stability estimates. Hort Science.; 26: 947–950. |
| [9] | Gashaw Tadesse Abate, Bernard, T. de Brauw, A. and Minot N. 2018. The impact of the use of new technologies on farmers’ wheat yield in Ethiopia: evidence from a randomized control trial. Agric Econ. 49 (4): 409–421. |
| [10] | Gauch, H. G. and Zobel, R. W. 1996. AMMI analysis of yield trials. In: Genotype by Environment Interaction, pp. 85-122, Boca Raton. CRC Press, New York. |
| [11] | Gauch, H. G. and R. W. Zobel. 1988 Predictive and postdictive success of statistical analyses of yield trials. Theor. Appl. Genet. 76: 1-10. |
| [12] | Getachew Agegnehu, Amare Ghizaw, Woldeyesus Sinebo. 2008. Yield potential and land-use efficiency of wheat and faba bean mixed intercropping. Agron. Sustain. Dev. 28: 257–263. DOI: 10.1051/agro: 2008012. |
| [13] | Ministry of Agriculture and Natural Resources. 2018. Plant Variety Release, Protection and Seed Quality Control Directorate, Crop Variety Register, Issue No. 21, Addis Ababa, Ethiopia. |
| [14] | Mohammadi, R., M. Roostaei, Y. Ansari, M. Aghaee and A. Amri. 2010. Relationships of phenotypic stability measures for genotypes of three cereal crops. Canadian Journal of Plant Science, 90: 819-30. |
| [15] | Peterson F, Campbell B, Hannah E. 1948. A diagrammatic scale for estimating rust intensity on leaves and stems of cereals. Can. J. Res. 26: 496-500. |
| [16] | Purchase, J. L. 1997. Parametric analysis to describe GxE interaction and yield stability in winter wheat. PhD. Thesis, Department of Agronomy, Faculty of Agriculture, University of the Orange Free State, Bloemfontein, South Africa. |
| [17] | Wubishet A., Chemeda F. and Bekele H. 2015. Effects of environment on epidemics of yellow rust (Puccinia striiformis West.) of bread wheat (Triticum aestivum L.) in Bale highlands, South-Eastern Ethiopia. Global Journal of Pests, Diseases and Crop Protection, 3 (2): 096-107. |
| [18] | Wubshet Alemu and Chemeda Fininsa. 2016. Effects of Environment on Wheat Varieties’ Yellow Rust Resistance, Yield and Yield Related Traits in South-Eastern Ethiopia. Plant, 4 (3): 14-22; http://www.sciencepublishinggroup.com/j/plant; doi: 10.11648/j.plant.20160403.11; ISSN: 2331-0669 (Print); ISSN: 2331-0677 (Online). |
| [19] | Yan, W. and L. A. Hunt. 1998. Genotype by environment interaction and crop yield. Plant Breed. Rev. 16: 135-178. |
APA Style
Alemu Dabi, Gadisa Alemu, Negash Geleta, Abebe Delessa, Tafesse Solomon, et al. (2021). Genotype X Environment Interaction and Stability Analysis for Grain Yield of Bread Wheat (Triticum aestivum) Genotypes Under Low Moisture Stress Areas of Ethiopia. American Journal of Plant Biology, 6(3), 44-52. https://doi.org/10.11648/j.ajpb.20210603.12
ACS Style
Alemu Dabi; Gadisa Alemu; Negash Geleta; Abebe Delessa; Tafesse Solomon, et al. Genotype X Environment Interaction and Stability Analysis for Grain Yield of Bread Wheat (Triticum aestivum) Genotypes Under Low Moisture Stress Areas of Ethiopia. Am. J. Plant Biol. 2021, 6(3), 44-52. doi: 10.11648/j.ajpb.20210603.12
AMA Style
Alemu Dabi, Gadisa Alemu, Negash Geleta, Abebe Delessa, Tafesse Solomon, et al. Genotype X Environment Interaction and Stability Analysis for Grain Yield of Bread Wheat (Triticum aestivum) Genotypes Under Low Moisture Stress Areas of Ethiopia. Am J Plant Biol. 2021;6(3):44-52. doi: 10.11648/j.ajpb.20210603.12
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author = {Alemu Dabi and Gadisa Alemu and Negash Geleta and Abebe Delessa and Tafesse Solomon and Habtemariam Zegaye and Dawit Asnake and Bayisa Asefa and Rut Duga and Abebe Getamesay and Demeke Zewudu and Zerihun Tadesse and Bedada Girma and Ayele Badebo and Bekele Abeyo},
title = {Genotype X Environment Interaction and Stability Analysis for Grain Yield of Bread Wheat (Triticum aestivum) Genotypes Under Low Moisture Stress Areas of Ethiopia},
journal = {American Journal of Plant Biology},
volume = {6},
number = {3},
pages = {44-52},
doi = {10.11648/j.ajpb.20210603.12},
url = {https://doi.org/10.11648/j.ajpb.20210603.12},
eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ajpb.20210603.12},
abstract = {A multi-locations’ experiments were carried out from 2018 to 2019 main cropping seasons in moisture stress areas of Ethiopia to estimate the genotype x environment interaction and to select stable and adaptable variety/ies for grain yield of bread wheat. The genotypes consisted of 23 genotypes and two standard checks arranged in alpha lattice design replicated three times. Data were taken for agronomic traits and diseases. Analysis of variances and stability analysis were carried out for grain yield using R software. Combined analysis of variance showed a highly significant (p≤0.01) difference among the genotypes, locations, and GEI for grain yield suggesting a differential response of genotypes across testing environments. The grand mean yield over nine environments was 5251.90 kg ha-1 and the mean yield of genotypes across nine environments ranged from 1539.29 kg ha-1 in 2018 at Dhera to 7621.87 kg ha-1 in 2018 at Kulumsa, respectively. The recorded mean yield of the standard check Deka (5066.543 kg ha-1) and Ogolcho (4018.39 kg ha-1) was below the grand mean yield of genotypes across environments. The Genotypes ETBW 9136 (5731.79 kg ha-1), ETBW 9139 (5844.87 kg ha-1), ETBW 9646 (5754.01 kg ha-1), ETBW9172 (5634.01 kg ha-1), ETBW9641 (5545.03 kg ha-1), ETBW 9080 (5545.31 kg ha-1) and ETBW9396 (5467.04 kg ha-1) gave the highest mean grain yield across environments, whereas the standard check Ogolcho recorded lowest mean grain yield across environments. The first four principal components of the GEI explained 85.6% of the variation. Additive main effects and multiplicative interaction (AMMI) stability parameters revealed that the genotypes ETBW 9080 (G11), ETBW 9172 (G12), ETBW 9646 (G19), ETBW 9396 (G13), ETBW 9452 (G14), ETBW 9136 (G5) and ETBW 9139 (G6) were high yielder and more stable inferring little interaction of genotypes with the environment whereas Ogolcho (G25), ETBW 9119 (G3), ETBW 9647 (G20) and ETBW 9065 (G8) was low yielder and unstable suggesting high interaction with the environments. Based on stability parameters and other agronomic traits, the genotypes viz. ETBW 9396 (G13) and ETBW 9080 (G11), were proposed for variety verification and possible release in 2021.},
year = {2021}
}
TY - JOUR T1 - Genotype X Environment Interaction and Stability Analysis for Grain Yield of Bread Wheat (Triticum aestivum) Genotypes Under Low Moisture Stress Areas of Ethiopia AU - Alemu Dabi AU - Gadisa Alemu AU - Negash Geleta AU - Abebe Delessa AU - Tafesse Solomon AU - Habtemariam Zegaye AU - Dawit Asnake AU - Bayisa Asefa AU - Rut Duga AU - Abebe Getamesay AU - Demeke Zewudu AU - Zerihun Tadesse AU - Bedada Girma AU - Ayele Badebo AU - Bekele Abeyo Y1 - 2021/07/21 PY - 2021 N1 - https://doi.org/10.11648/j.ajpb.20210603.12 DO - 10.11648/j.ajpb.20210603.12 T2 - American Journal of Plant Biology JF - American Journal of Plant Biology JO - American Journal of Plant Biology SP - 44 EP - 52 PB - Science Publishing Group SN - 2578-8337 UR - https://doi.org/10.11648/j.ajpb.20210603.12 AB - A multi-locations’ experiments were carried out from 2018 to 2019 main cropping seasons in moisture stress areas of Ethiopia to estimate the genotype x environment interaction and to select stable and adaptable variety/ies for grain yield of bread wheat. The genotypes consisted of 23 genotypes and two standard checks arranged in alpha lattice design replicated three times. Data were taken for agronomic traits and diseases. Analysis of variances and stability analysis were carried out for grain yield using R software. Combined analysis of variance showed a highly significant (p≤0.01) difference among the genotypes, locations, and GEI for grain yield suggesting a differential response of genotypes across testing environments. The grand mean yield over nine environments was 5251.90 kg ha-1 and the mean yield of genotypes across nine environments ranged from 1539.29 kg ha-1 in 2018 at Dhera to 7621.87 kg ha-1 in 2018 at Kulumsa, respectively. The recorded mean yield of the standard check Deka (5066.543 kg ha-1) and Ogolcho (4018.39 kg ha-1) was below the grand mean yield of genotypes across environments. The Genotypes ETBW 9136 (5731.79 kg ha-1), ETBW 9139 (5844.87 kg ha-1), ETBW 9646 (5754.01 kg ha-1), ETBW9172 (5634.01 kg ha-1), ETBW9641 (5545.03 kg ha-1), ETBW 9080 (5545.31 kg ha-1) and ETBW9396 (5467.04 kg ha-1) gave the highest mean grain yield across environments, whereas the standard check Ogolcho recorded lowest mean grain yield across environments. The first four principal components of the GEI explained 85.6% of the variation. Additive main effects and multiplicative interaction (AMMI) stability parameters revealed that the genotypes ETBW 9080 (G11), ETBW 9172 (G12), ETBW 9646 (G19), ETBW 9396 (G13), ETBW 9452 (G14), ETBW 9136 (G5) and ETBW 9139 (G6) were high yielder and more stable inferring little interaction of genotypes with the environment whereas Ogolcho (G25), ETBW 9119 (G3), ETBW 9647 (G20) and ETBW 9065 (G8) was low yielder and unstable suggesting high interaction with the environments. Based on stability parameters and other agronomic traits, the genotypes viz. ETBW 9396 (G13) and ETBW 9080 (G11), were proposed for variety verification and possible release in 2021. VL - 6 IS - 3 ER -
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