Multi-environment trials have a significant role in selecting the best genotypes to be used at different locations. The study aimed to determine grain yield and stability of 15 bread wheat genotypes in Ethiopia using parametric stability method. Fifteen bread wheat genotypes were evaluated using RCBD with four replications at six locations in Ethiopia in 2017/18 main cropping season. Considering environment, grain yield of environments over genotypes ranged from 2.8 t ha-1 for Bekoji to 5.15 t ha-1 for Kulumsa. Grain yield of genotypes over environments ranged from 1.53 t ha-1 to 4.93 t ha-1. Among the genotypes with above-average mean grain yield (>3.8 t ha-1), ETBW8084 and Hidase were declared stable by all parametric stability parameters except by S2i and CV (%) while ETBW8427 was declared stable by all parametric stability parameters. These three genotypes ranked 6th, 3th and 4rd by mean grain yield and contributed only 4.5, 4.0 and 4.5% to SS of GxE interaction, respectively. Hence, they can be recommended for wide adaptation. The genotype ETBW8065 was also among the stable and high yielding genotypes contributing only 6.3% to GEI. ETBW8078, ETBW8311 and ETBW8459 were low yielding and stable genotypes contributing 1.2, 3.9 and 3.5% to GEI. ETBW9470, ETBW8070 and ETBW9037 were among the highest yielding genotypes ranking 1st, 2nd and 5th, respectively. However, they were declared unstable by most stability parameters except ETBW8070 which was declared stable by S2i, CV (%) and Pi stability models. Generally based grain yield ETBW9470 and ETBW8070 genotypes were recommended to crossing block.
Published in | American Journal of Life Sciences (Volume 8, Issue 6) |
DOI | 10.11648/j.ajls.20200806.12 |
Page(s) | 189-195 |
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), 2020. Published by Science Publishing Group |
Declared, Environment, GEI and Stable
[1] | Shewry, P. R. and S. J. Hey. 2015. The contribution of wheat to human diet and health. Food Energy Security, 4 (3): 178-202. |
[2] | Eyob Bezabeh, Tesfaye Haregewoin, Dejene Hailegiorgis, Fitsum Daniel and Baye Belay. 2014. Change and growth rate analysis in area, yield and production of wheat in Ethiopia. International Journal of Development Research, 4 (10): 1994-1995. |
[3] | Solomon, T., Y. Shewaye, H. Zegeye, D. Asnake, Z. Tadesse and B. Girma. 2018. Performance Evaluation of Advanced Bread Wheat Genotypes for Yield Stability Using the AMMI Stability Model. J Agri Res 2018, 3 (4): 000168. |
[4] | Mohebodini, M., H. Dehghani and S. H. Sabaghpour (2006). Stability of performance in lentil (Lens culinarisMedik) genotypes in Iran. Euphytica, 149: 343–352. |
[5] | Lin, C. S. and M. R. Binns. 1988. A superiority measure of cultivar performance for cultivar x location data. Can. J. Plant Sci., 68: 193-198. |
[6] | Fasahat P, Rajabi A, Mahmoudi SB, Noghabi MA, Rad JM. 2015. An Overview on the Use of Stability Parameters in Plant Breeding. Biom Biostat Int J 2 (5): 00043. |
[7] | Letta, T. (2009). Genotype environment interactions and correlation among stability parameters yield in durum wheat (Triticum durum Desf) genotypes grown in south east Ethiopia. African Crop Science Proceedings. 8: 693-698. |
[8] | Piepho, H. P. (1996). Analysis of Genotype-by environment and Phenotypic Stability. In: Kang M. S and Zobel Jr H. G (Eds). Genotype by Environment. CRC Press. Boca Raton, pp: 151-174. |
[9] | Hussein, M. A., B. Asmund and A. H. Aastveit. 2000. SASG X ESTAB: A SAS Program for computing genotype X environment stability statistics. Agron. J., 92: 454-459. |
[10] | Gauch, H. G. 2006. Statistical analysis of yield trials by AMMI and GGE. Crop Sci., 46: 1488-1500. |
[11] | Huehn M. 1990. Nonparametric measures of phenotypic stability: I. Theory. Euphytica 47: 189-194. |
[12] | Yan, W., M. S. Kang, B. Ma, S. Woods and P. L. Cornelius (2007). GGE- biplot vs. AMMI analysis of genotype-by-environment data. Crop Sci., 47: 643-655. |
[13] | Huehn M. 1996. Non-parametric analysis of genotype x environment interactions by ranks. In: Kang MS and Gauch HG (eds) Genotype by Environment Interaction. CRC Press, Boca Raton, pp 213-228. |
[14] | Mangiafico, S. S. 2015. An R Companion for the Handbook of Biological Statistics, version 1.3.2. |
[15] | Eberhart, S. A. and Russell, W. A., 1966. Stability parameters for comparing varieties. Crop science 6: 36-40. |
[16] | Finlay, K. W. and Wilkinson, G. N., 1963. The analysis of adaptation in a plants breeding programme. Australian Journal of Agricultural Research 14: 742-754. |
[17] | Kilic, H. (2012). Assessment of parametric and nonparametric methods for selecting stable and adapted spring bread wheat genotypes in multienvironments. The J. Anim. Plant Sci. 22 (2): 2012, Page: 390-398. |
[18] | Yaghotipoor. A, E. Farshadfar and M. Saeidi. 2017. Evaluation of phenotypic stability in bread wheat accessions using parametric and non-parametric methods. The J. Anim. Plant Sci. 27 (3): 1269-1275. |
[19] | CSA (Central Statistical Agency of Ethiopia). 2017. Agricultural sample survey report on area and production of crops. Stat. Bul. Vol. 1. No. 584. |
[20] | Karimizadeh, R, M. Mohammadi, N. Sabaghnia, M,. K. Shefazadeh & J. Pouralhossini. 2012. Univariate stability analysis methods for determining genotype × environment interaction of durum wheat grain yield. African J. Biot. 11: 2563–2573. |
[21] | Bantayehu, M. (2009): Analysis and correlation of stability parameters in malting barley. African Crop Science Journal 17 (3): 145-153. |
[22] | Asfaw, A., Blair, M. W. and Almekinders, C. 2009. Genetic diversity and population structure of common bean (Phaseolus vulgaris L.) landraces from the East African highlands. Th. App. Geneti. 120 (1), pp. 1-12. |
[23] | Debelo D., Gelalcha S., Yaie B., Girma B., Mamo B. &Masresha, D. 2004, November. Grain Yield Stability of Bread Wheat Genotypes in Favorable and Stressed Environments. In Proceedings of the 12th Regional Wheat Workshop for Eastern, Central and Southern Africa. 76p. |
[24] | Fentaw Abate. 2011. Genotype x environment interaction and stability analysis for yield of durum wheat (Triticum turgidumdesf.) varieties in north western Ethiopia. An MSc Thesis Presented to the School of Graduate Studies of Haramaya University. 85p. |
[25] | Lemi Beksisa. 2016. Genotype by environment interaction and stability analysis of Arabica genotypes advanced limu coffee genotypes in South western Ethiopia. Unpublished Msc. Thesis Jimma University, Ethiopia. |
[26] | Purchase, J. L., Hesta Hatting and C. S. van Deventer. 2000. Genotype × environment interaction of winter wheat (Triticum aestivum L.) in South Africa: II. Stability analysis of yield performance, South African Journal of Plant and Soil, 17: 3, 101-107. |
[27] | Akcura, M., Y. Kaya, S. Taner and R. Ayranci. 2006. Parametric stability analyses for grain yield of durum wheat. PLANT SOIL ENVIRON, 52 (6): 254–261. |
APA Style
Gadisa Alemu Wardofa, Abebe Delesa Ararsa. (2020). Evaluation of Grain Yield Stability Analysis in Bread Wheat (Triticum aestivum L.) Genotypes Using Parametric Method. American Journal of Life Sciences, 8(6), 189-195. https://doi.org/10.11648/j.ajls.20200806.12
ACS Style
Gadisa Alemu Wardofa; Abebe Delesa Ararsa. Evaluation of Grain Yield Stability Analysis in Bread Wheat (Triticum aestivum L.) Genotypes Using Parametric Method. Am. J. Life Sci. 2020, 8(6), 189-195. doi: 10.11648/j.ajls.20200806.12
AMA Style
Gadisa Alemu Wardofa, Abebe Delesa Ararsa. Evaluation of Grain Yield Stability Analysis in Bread Wheat (Triticum aestivum L.) Genotypes Using Parametric Method. Am J Life Sci. 2020;8(6):189-195. doi: 10.11648/j.ajls.20200806.12
@article{10.11648/j.ajls.20200806.12, author = {Gadisa Alemu Wardofa and Abebe Delesa Ararsa}, title = {Evaluation of Grain Yield Stability Analysis in Bread Wheat (Triticum aestivum L.) Genotypes Using Parametric Method}, journal = {American Journal of Life Sciences}, volume = {8}, number = {6}, pages = {189-195}, doi = {10.11648/j.ajls.20200806.12}, url = {https://doi.org/10.11648/j.ajls.20200806.12}, eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ajls.20200806.12}, abstract = {Multi-environment trials have a significant role in selecting the best genotypes to be used at different locations. The study aimed to determine grain yield and stability of 15 bread wheat genotypes in Ethiopia using parametric stability method. Fifteen bread wheat genotypes were evaluated using RCBD with four replications at six locations in Ethiopia in 2017/18 main cropping season. Considering environment, grain yield of environments over genotypes ranged from 2.8 t ha-1 for Bekoji to 5.15 t ha-1 for Kulumsa. Grain yield of genotypes over environments ranged from 1.53 t ha-1 to 4.93 t ha-1. Among the genotypes with above-average mean grain yield (>3.8 t ha-1), ETBW8084 and Hidase were declared stable by all parametric stability parameters except by S2i and CV (%) while ETBW8427 was declared stable by all parametric stability parameters. These three genotypes ranked 6th, 3th and 4rd by mean grain yield and contributed only 4.5, 4.0 and 4.5% to SS of GxE interaction, respectively. Hence, they can be recommended for wide adaptation. The genotype ETBW8065 was also among the stable and high yielding genotypes contributing only 6.3% to GEI. ETBW8078, ETBW8311 and ETBW8459 were low yielding and stable genotypes contributing 1.2, 3.9 and 3.5% to GEI. ETBW9470, ETBW8070 and ETBW9037 were among the highest yielding genotypes ranking 1st, 2nd and 5th, respectively. However, they were declared unstable by most stability parameters except ETBW8070 which was declared stable by S2i, CV (%) and Pi stability models. Generally based grain yield ETBW9470 and ETBW8070 genotypes were recommended to crossing block.}, year = {2020} }
TY - JOUR T1 - Evaluation of Grain Yield Stability Analysis in Bread Wheat (Triticum aestivum L.) Genotypes Using Parametric Method AU - Gadisa Alemu Wardofa AU - Abebe Delesa Ararsa Y1 - 2020/11/23 PY - 2020 N1 - https://doi.org/10.11648/j.ajls.20200806.12 DO - 10.11648/j.ajls.20200806.12 T2 - American Journal of Life Sciences JF - American Journal of Life Sciences JO - American Journal of Life Sciences SP - 189 EP - 195 PB - Science Publishing Group SN - 2328-5737 UR - https://doi.org/10.11648/j.ajls.20200806.12 AB - Multi-environment trials have a significant role in selecting the best genotypes to be used at different locations. The study aimed to determine grain yield and stability of 15 bread wheat genotypes in Ethiopia using parametric stability method. Fifteen bread wheat genotypes were evaluated using RCBD with four replications at six locations in Ethiopia in 2017/18 main cropping season. Considering environment, grain yield of environments over genotypes ranged from 2.8 t ha-1 for Bekoji to 5.15 t ha-1 for Kulumsa. Grain yield of genotypes over environments ranged from 1.53 t ha-1 to 4.93 t ha-1. Among the genotypes with above-average mean grain yield (>3.8 t ha-1), ETBW8084 and Hidase were declared stable by all parametric stability parameters except by S2i and CV (%) while ETBW8427 was declared stable by all parametric stability parameters. These three genotypes ranked 6th, 3th and 4rd by mean grain yield and contributed only 4.5, 4.0 and 4.5% to SS of GxE interaction, respectively. Hence, they can be recommended for wide adaptation. The genotype ETBW8065 was also among the stable and high yielding genotypes contributing only 6.3% to GEI. ETBW8078, ETBW8311 and ETBW8459 were low yielding and stable genotypes contributing 1.2, 3.9 and 3.5% to GEI. ETBW9470, ETBW8070 and ETBW9037 were among the highest yielding genotypes ranking 1st, 2nd and 5th, respectively. However, they were declared unstable by most stability parameters except ETBW8070 which was declared stable by S2i, CV (%) and Pi stability models. Generally based grain yield ETBW9470 and ETBW8070 genotypes were recommended to crossing block. VL - 8 IS - 6 ER -