Assessment of stability, adaptability and yield performance of bread wheat (Triticum aestivum l.) cultivars in south estern Ethiopia



Abstract

he success of crop improvement and production activities can be enhanced with scientific information generated form genotype-environment interactions. GEI reduces the association between phenotype and genotype which result in relative ranking and stability differences of genotypes across environments. This study were conducted with the objective to identify stable, and adaptable bread wheat genotypes under various environments. Eighteen genotypes were tested across nine environments for two years on randomized block design of three replication. Plot size of 1.2 m × 2.5 m and 20cm spacing between rows were used. All recommended agronomic practices and managements were applied uniformly. Data were collected on plot basis and converted to ton ha-1. and analyzed with appropriate statistical software for stability parameters. Combined analysis over nine environments showed, variety Tuse (HAR-1407) ranked first in mean yield(3.11ton × ha-1), and K-6295-4A ranked second (3.01 ton × ha-1) and Dashen came third(2.98 ton ha-1). Analysis of AMMI model showed that the first principal component, PCA 1 explained 53.72% of the interaction sum of squares while the second principal component, PCA 2 explained 17.61% interaction sum of squares. Ecovalence(Wi) analysis showed that G2 (Sofumar(HAR-1889)), G4 (Kubsa(HAR-1685)), G5 (Tura(HAR-1407)), G7 (Galema (HAR-604)), G12 (Wabe (HAR-710)), almost equally the lowest ecovalence that evidenced less fluctuation across environment and found to be stable.


Keywords

adaptability; environment; igenotypes; nteractions; stability

Ashinie, B., Kedir N. and Habtamu S. Selection of some morphological traits of bread wheat That Enhance the Competitiveness Against Wild Oat (Avena fatua L.) World Journal of Agricultural Sciences 7 (2):128-135, 2011

Brandle J. E. and Mcvettv P. B. E. 1988. Genotype x environment interaction and stability analysis of seed yield of oilseed rape grown in Manitoba. Can. J. Plant Sci. 68: 381-388.

CSA 2011. Agricultural Survey Sample: Report on area and production of different crops. (Meher season, private holdings). Central Statistical Agency: Addis Ababa, Ethiopia.

Das S., R.C. Misra, M.C. Patnaik and S.R. Das. G X E interaction, adaptability and yield stability of mid- early rice genotypes. Indian J. Agric. Res., 44 (2): 104 – 111

Eberhart S.A., Russell W.A., 1966. Stability parameters for comparing varieties. Crop Sci. 6, 36–40.

Finlay, K. W. and G.N. Wilkinson (1963). The analysis of adaptation in a plant-breeding program. Aust. J Agric. Res. 14:742-754.

Francis T.R., Kannenberg L.W. 1978. Yield stability studies in short-season maize: I. A descriptive method for grouping genotypes. Can J Plant Sci 58, 1029-1034.

Gauch H.G. 2006. Statistical analysis of yield trials by AMMI and GGE. Crop Sci. 46:1488–1500.

Hussein M.A, Asmund B. and Aastveit A.H. 2000. SASG X ESTAB: A SAS Program for Computing Geno- type X Environment Stability Statistics. Published in Agron. J. 92:454-459.

Jalata Z. 2011. GGE-biplot of multi environment yield trials of barley (Hordeium vulgare L.) in south eastern of Ethiopia. Internaional Journal of plant breeding and genetics 5(1): 59-75. ISSN 1819-3595/DOI:10.3923/ijpbg.2011.59.75

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 vol. 8. Pp. 693-698

Mohammed M. I. 2009. Genotype X Environment Interaction in Bread Wheat in Northern Sudan Using AMMI Analysis. American-Eurasian J. Agric. & Environ. Sci., 6 (4): 427-433.

Prabhakaran V.T and Jain J.P. 1992. Statistical techniques for studying genotype-environment interaction South Asian Publishers Pvt. Ltd. New Delhi.

Purchase R.L. 1997. Parametric analysis to describe genotype by environment interaction and yield stability in winter wheat. Ph.D. Thesis, Department of Agronomy, Faculty of Agriculture of the University of the Free State, Bloemfontein, South Africa.

Sadeghi S.M, H. Samizadeh, E. Amiri and M. Ashouri.2011. Additive main effects and multiplicative interactions (AMMI) analysis of dry leaf yield in tobacco hybrids across environments. African Journal of Biotechnology Vol. 10(21), pp. 4358-4364

Tiawari D.K, P. Pandey, R.K Singhi, S.P Singhi and S.B Singhi. Genotype X environment interactio and stability analysis in elite clones of sugarcane (Saccharium officinarium L.). Internaional Journal of plant breeding and genetics 5(1): 93-98. ISSN 1819-3595/DOI:10.3923/ijpbg.2011.93.98

Wricke G. 1964. Zur Berechnung der Ökovalenz bei Sommerweizen und Hafer. Z. Pflanzenzüchtung 52: 127- 138.

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

Download

Published : 2012-12-20


Ayalneh, T., Letta, T., & Abinasa, M. (2012). Assessment of stability, adaptability and yield performance of bread wheat (Triticum aestivum l.) cultivars in south estern Ethiopia. Plant Breeding and Seed Science, 67, 3-12. Retrieved from http://ojs.ihar.edu.pl/index.php/pbss/article/view/299

T Ayalneh  ayal.sarc@gmail.com
Oromia Agricultural Research Institute, Sinana Agricultural Research Center, Cereal Technology Generating Case Team, Breeding and genetics, P.O.BOX, 208 Bale Robe, Ethiopia  Ethiopia
T. Letta 
Oromia Agricultural Research Institute, Sinana Agricultural Research Center, Cereal Technology Generating Case Team, Breeding and genetics, P.O.BOX, 208 Bale Robe, Ethiopia  Ethiopia
M. Abinasa 
Oromia Agricultural Research Institute, Sinana Agricultural Research Center, Cereal Technology Generating Case Team, Breeding and genetics, P.O.BOX, 208 Bale Robe, Ethiopia  Ethiopia