Stability Analysis in Bread Wheat (Triticum aestivum L.) Genotypes in North-western Ethiopia

  • Misganaw Ferede Wheat Breeder, Amhara Regional Agricultural Research Institute, Adet Agricultural Research Center, Ethiopia

Abstract

Abstract: Northwestern Ethiopian is one of the areas that has been experiencing weather variability both from season to season as well as from place to place in the same season over relatively small areas. In such weather conditions, the magnitude of genotype x environment interaction is more important than the average performance of crop genotypes. Therefore, experiments were conducted at Adet, Simada and Debretabor in 2014 and 2015 cropping seasons under rain-fed condition with the objectives of evaluating the stability of bread wheat genotypes for grain yield, and estimate the magnitude of genotype x environment interaction on grain yield. The treatment consisted of twelve bread wheat genotypes, namely, Bolo (G8), Dand’a (G5), Gambo (G4), Gassay (G6), Hidase (G1), Huluka (G3), Kubsa (G12), Menze (G10), Ogolcho (G2), Shorima (G11), Tay (G7), and Tsehay (G9). The experiments were laid out as a randomized complete block design with three replications per treatment at each site. The analysis of variance revealed the significant (P ≤ 0.01) effect of genotype, growing season, location and all possible interactions of the three main factors. The results of AMMI analysis depicted significant (P ≤ 0.01) differences among genotypes across the environments. According to the study, the performances of genotypes grain yield were highly affected by environment and the genotype. The highest variation was accounted for location (29 %) followed by genotype (18%) and location by year (18 %) and genotype by year (12%) effects. Based on Additive Main effects and Multiplicative Interaction (AMMI), genotype and genotype by environment (GGE) biplot and stability coefficient analyses Ogolcho (G2), Gambo (G4), Shorima (G11) and Tsehay (G9) were relatively stable genotypes across the test environments than the checks, TAY (G7) and Kubsa (G12). Therefore, based on the stability and overall mean grain yield of genotypes, recently released genotypes Gambo (G4), Ogolcho (G2) and Tsehay (G9) and relatively older genotypes Shorima (G11) and TAY (G7) could be recommended for production at the test environments in the Western Amhara Region.

   

Keywords: Additive Main effects and Multiplicative Interaction (AMMI); Genotype and Genotype by environment (GGE); Grain Yield and Stability coefficient

            

Author Biography

Misganaw Ferede, Wheat Breeder, Amhara Regional Agricultural Research Institute, Adet Agricultural Research Center, Ethiopia

Wheat Breeder, Amhara Regional Agricultural Research Institute, Adet Agricultural Research Center, Ethiopia

References

References
Akter, A., Hassen, J. M., Kulsum, U. M., Islam, M. R., Hossain, K. and Rahman, M. M. 2014. AMMI biplot analysis for stability of grain yield in hybrid rice (Oryza sativa L.). J. Rice Research, 2 (2): 1-4.
Amhara National Regional State Metreology Agency (ANRSMA). 2014 and 2015. Climate data for Adet, Simada and Debretabor, Unpublished, Bahir Dar, Ethiopia.
Ashenafi Gedamu. 2008. Triticale production in Ethiopia: its impact on food security and poverty alleviation in the Amhara Region, Kassel University, German.
Becker, H. C. and Leon, J. 1988. Stability analysis in plant breeding. Plant breeding, 101: 1-23.
Central Statistics Agency (CSA). 2015. Agricultural Sample Survey, Volume I, Report on Area and Production of Major Crops (Private Peasant Holdings, Meher Season). Statistical Bulletin 278. Addis Ababa, Ethiopia.
Crossa, J. 1990. Statistical analysis of multi-location trials. Advances in Agronomy, 44: 55- 85.
Dereje, G. and Yaynu, H. 2000. Yield losses of crops due to disease in Ethiopia. Pest. Mgt. J. Eth., 5: 55-67.
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.
Fetien Abay and Asmund Bjornstad. 2009. Identifying optimal testing environments of barley yield in the Northern Highlands of Ethiopia by Biplot Analysis. Journal of the Drylands, 2 (1): 40-47.
Food and Agriculture Organization (FOA). 2014. Food Balance Sheets. FAOSTAT. Rome. (http: // faostat3.fao.org/download/ FB/FBS/E).
Gauch, H. G. 1992. Statistical analysis of regional yield trials: AMMI analysis of factorial designs. Elsevier, Amsterdam, the Netherlands.
Hintsa Gebru and Fetien Abay. 2013. Evaluation of bread wheat varieties for their adaptability in wheat growing areas of Tigray region, northern Ethiopia. Journal of Biodiversity and Endangered Species, 1: 12-18.
Lin, C. S., Binns M. R. and Lefkovitch L. P. 1986. Stability analysis. Where do we stand? Crop Sci., 26: 894-899.
Lin, C. S. and Binns M. R. 1988. A superiority measure of cultivar performance for cultivar x location data. Can. J. Plant Sci., 68: 193-198.
Ministry of Agriculture (MoA). 2013. Plant variety release, protection and seed quality control directorate. Issue No. 16: 6-18. Addis Ababa, Ethiopia.
Misganaw Ferede, Getachew Alemayehu and Fisseha Wored. 2015. Identification of Adaptable Improved Bread Wheat (Triticum aestivum L.)Genotypes in North Western Ethiopia, Journal of Biology, Agriculture and Healthcare, 5 (23): 1-8
Misra, R. C., Das, S. and Patnaik, M. C. 2010. AMMI analysis of stability and adaptability of late duration finger millet (Eleusine coracana) genotypes. World Journal of Agriculture Science, 6 (6): 664-669.
Mohammed, N. E. 2013. Genotype by environment interactions for grain yield in bread wheat (Triticum aestivum L.). Journal of Plant Breeding and Crop Science, 5 (7): 150-157.
Purchase, J. L, Hesta, H. and Deventer, C. S. 2000. Use genotype by environment interaction of winter wheat (Triticum aestivum L.) in South Africa: AMMI analysis of yield performance. S. Afri. J. Plant and Soil, 17 (3): 101-107.
Voltas, J., Van, E. F., Igartua, E., García del Moral, L. F., Molina-Cano, J. L., Romagosa, I. 2002. Genotype by environment interaction and adaptation in barley breeding: Basic concepts and methods of analysis. In: Slafer, G. A., Molina-Cano, J. L., Savin, R., Araus, J. L., Romagosa, I. (Eds.) Barley Science: Recent advances from molecular biology to agronomy of yield and quality. The Harworth Press Inc., New York, pp. 205-241.
Yan, W. 2001. GGE biplot: a Windows Application for Graphical Analysis of Multi environment trial Data and other Types of Two-Way Data. Agronomy, 93: 1111-1118.
Yan, W., Hunt, L. A., Sheng, Q. and Szlavnics, Z. 2000. Cultivar evaluation and mega-environment investigation based on the GGE biplot. Crop Science, 40: 597–605.
Yan, W. and Rajcan, I. 2002. Biplot analysis of test sites and trait relations of soybean in Ontario. Crop Sci., 42: 11-20.
Zerihun Taddese. 2016. Wheat production Technologies in Ethiopia. Innovation Conference; 27- 28 September, 2016. Acccra Ghana.www.erails.net/ET/zerihun tadesse/ wheat-breeding/(accessed on October 16, 2016).
Zobel, R. W., Wright, M. J and Gauch, H. G. 1988. Statistical analysis of a yield trial. Agronomy Journal, 80: 388-393.
Published
2016-01-01

Most read articles by the same author(s)

Obs.: This plugin requires at least one statistics/report plugin to be enabled. If your statistics plugins provide more than one metric then please also select a main metric on the admin's site settings page and/or on the journal manager's settings pages.