Research Article
Year 2018,
Volume: 23 Issue: 1, 20 - 26, 15.06.2018
Abstract
References
- Abinasa, M., A. Ayana and G. Bultosa. 2011. Genetic variability, heritability and trait associations in durum wheat (Triticum turgidum L. var. durum) genotypes. African Journal of Agricultural Res. 6 (17): 3972-3979. Asfaw, A., F. Alemayehu, F. Gurum and M. Atnaf. 2009. AMMI and SREG GGE biplot analysis for matching varieties onto soybean production environments in Ethiopia. Scientific Research and Essay 4 (11): 1322-1330.
- Ebdon, J.S. and H.G. Gauch. 2002. Additive main effect and multiplicative interaction analysis of national turfgrass performance trials: I. Interpretation of genotype × environment interaction. Crop Sci. 42: 489-496. Gabriel, K.R. 1971. The biplot graphical display of matrices with applications to principal component analysis. Biometrika 58, 453–467.
- Gauch, H.G. 2006. Statistical analysis of yield trials by AMMI and GCE. Crop science 46: 1488- 1500. Gebremedhin, W, M. Firew and B. Tesfye. 2014. Stability analysis of food barley genotypes in northern Ethiopia. African Crop Science Journal 22,145–153.
- Gollob, H.F. 1968. A statistical model that combines features of factor analysis and analysis of variance techniques. Psycrometrika 33: 73-115.
- Hinsta, G, A. Hailemariam and T. Belay. 2011. Genotype-by-environment interaction and grain yield stability of early maturing bread wheat (Triticum aestivum L) genotypes in the drought prone areas of Tigray region, Northern Ethiopia. Ethiopian Journal of Applied Science and Technology 2: 51–57.
- Hintsa, G and F. Abay. 2013. Evaluation of bread wheat genotypes for their adaptability in wheat growing areas of Tigray Region, Northern Ethiopia. Journal of Biodiversity and Endangered Species 1, 104.
- Samonte, S.O.P.B., L.T. Wilson, A. M. Mc Clung and J. C. Medley. 2005. Targeting cultivars onto rice growing environments using AMMI and SREG GGE biplot analyses. Crop Sci. 45: 2414-2424.
- Naroui, M.R.R., M.A. Kadir, M. Y. Rafii, Z. E. Hawa Jaafar, M. R. Naghavi and F. Ahmadi. 2013. Genotype × environment interaction by AMMI and GGE biplot analysis in three consecutive generations of wheat (Triticum aestivum) under normal and drought stress conditions. AJS 7 (7):956-961.
- Tamene, T.T., G. Keneni, T. Sefera, M. Jarso and Y. Bekele. 2013. GXE interaction and performance stability for grain yield in field pea (Pisum sativum L.) genotypes. International Journal of Plant Breeding 7(2): 116-123.
- Yan, W., L.A. Hunt, Q. Sheng and Z. Szlavnics. 2000. Cultivar evaluation and mega-environment investigation based on the GGE biplot. Crop Sci. 40:597–605. ISSN 1435-0653.
- Yan, W., P.L. Cornelius, J. Crossa and L.A. Hunt. 2001. Two types of GGE biplots for analyzing multi-environment trial data. Crop Sci. 41:656-663.
- Yan, W. 2002. Singular value partitioning in biplot analysis of multi environment trial data. Agron. J. 94:990–996. ISSN: 1435- 0645.
- Yan, W and I. Rajcan. 2002. Biplots analysis of the test sites and trait relations of soybean in Ontario. Crop Science 42: 11-20
- Yan, W. and M.S. Kang. 2003. GGE Biplot Analysis: A Graphical Tool for Breeders, Geneticists, and Agronomists. Boca Raton FL, CRC Press.
- Yan, W. and N.A. Tinker. 2006. Biplot analysis of multi-environment trial data: Principles and applications. Canadian Journal of Plant Science 86: 623–645.
- 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 Science 47: 643–655.
INVESTIGATION OF GENOTYPE × ENVIRONMENT INTERACTION IN CHICKPEA GENOTYPES USING AMMI AND GGE BIPLOT ANALYSIS
Abstract
Genotype by environment (GE) interaction is considered to be among the major factors limiting the efficiency of breeding programs. Fifteen chickpea genotypes were evaluated to study their adaptability and stability in eight environments of South East of Turkey. The experiment was carried out in randomized complete block design with three replications in two locations in over three years. In this study, AMMI and GGE biplot analyses were used in the evaluation of test environments and genotypes. The AMMI analysis showed that the effects of genotype, environment and genotype × environment interaction were significant (P<0.01) on grain yield. The results of AMMI analyses indicated that chickpea grain yield performances were highly affected by environmental effect followed by the magnitude of GEI and genotype contributed the least effect. The polygon view of the GGE biplot showed that environments used this study belonged to two mega-environments, with different winning genotypes G2 (FLIP03-128C) and G12 (FLIP09-51C). The GGE biplot also revealed that E6 (2015 Diyarbakır winter sowing) was the most discriminating environment for grain yield of chickpea genotypes. According to the AMMI, GGE biplot and linier regression models, considering simultaneous average yield and stability, G1 (EN 934) and G10 (FLIP 03-110C) genotypes were the best genotype all the environments. However, G2 (FLIP03-128C), G3 (FLIP03-28C) and G5 (X03TH130) genotypes can be regarded as adapted to a wide range of environments.
References
- Abinasa, M., A. Ayana and G. Bultosa. 2011. Genetic variability, heritability and trait associations in durum wheat (Triticum turgidum L. var. durum) genotypes. African Journal of Agricultural Res. 6 (17): 3972-3979. Asfaw, A., F. Alemayehu, F. Gurum and M. Atnaf. 2009. AMMI and SREG GGE biplot analysis for matching varieties onto soybean production environments in Ethiopia. Scientific Research and Essay 4 (11): 1322-1330.
- Ebdon, J.S. and H.G. Gauch. 2002. Additive main effect and multiplicative interaction analysis of national turfgrass performance trials: I. Interpretation of genotype × environment interaction. Crop Sci. 42: 489-496. Gabriel, K.R. 1971. The biplot graphical display of matrices with applications to principal component analysis. Biometrika 58, 453–467.
- Gauch, H.G. 2006. Statistical analysis of yield trials by AMMI and GCE. Crop science 46: 1488- 1500. Gebremedhin, W, M. Firew and B. Tesfye. 2014. Stability analysis of food barley genotypes in northern Ethiopia. African Crop Science Journal 22,145–153.
- Gollob, H.F. 1968. A statistical model that combines features of factor analysis and analysis of variance techniques. Psycrometrika 33: 73-115.
- Hinsta, G, A. Hailemariam and T. Belay. 2011. Genotype-by-environment interaction and grain yield stability of early maturing bread wheat (Triticum aestivum L) genotypes in the drought prone areas of Tigray region, Northern Ethiopia. Ethiopian Journal of Applied Science and Technology 2: 51–57.
- Hintsa, G and F. Abay. 2013. Evaluation of bread wheat genotypes for their adaptability in wheat growing areas of Tigray Region, Northern Ethiopia. Journal of Biodiversity and Endangered Species 1, 104.
- Samonte, S.O.P.B., L.T. Wilson, A. M. Mc Clung and J. C. Medley. 2005. Targeting cultivars onto rice growing environments using AMMI and SREG GGE biplot analyses. Crop Sci. 45: 2414-2424.
- Naroui, M.R.R., M.A. Kadir, M. Y. Rafii, Z. E. Hawa Jaafar, M. R. Naghavi and F. Ahmadi. 2013. Genotype × environment interaction by AMMI and GGE biplot analysis in three consecutive generations of wheat (Triticum aestivum) under normal and drought stress conditions. AJS 7 (7):956-961.
- Tamene, T.T., G. Keneni, T. Sefera, M. Jarso and Y. Bekele. 2013. GXE interaction and performance stability for grain yield in field pea (Pisum sativum L.) genotypes. International Journal of Plant Breeding 7(2): 116-123.
- Yan, W., L.A. Hunt, Q. Sheng and Z. Szlavnics. 2000. Cultivar evaluation and mega-environment investigation based on the GGE biplot. Crop Sci. 40:597–605. ISSN 1435-0653.
- Yan, W., P.L. Cornelius, J. Crossa and L.A. Hunt. 2001. Two types of GGE biplots for analyzing multi-environment trial data. Crop Sci. 41:656-663.
- Yan, W. 2002. Singular value partitioning in biplot analysis of multi environment trial data. Agron. J. 94:990–996. ISSN: 1435- 0645.
- Yan, W and I. Rajcan. 2002. Biplots analysis of the test sites and trait relations of soybean in Ontario. Crop Science 42: 11-20
- Yan, W. and M.S. Kang. 2003. GGE Biplot Analysis: A Graphical Tool for Breeders, Geneticists, and Agronomists. Boca Raton FL, CRC Press.
- Yan, W. and N.A. Tinker. 2006. Biplot analysis of multi-environment trial data: Principles and applications. Canadian Journal of Plant Science 86: 623–645.
- 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 Science 47: 643–655.
There are 16 citations in total.
Details
| Primary Language | English |
|---|---|
| Journal Section | Articles |
| Authors | |
| Publication Date | June 15, 2018 |
| Published in Issue | Year 2018 Volume: 23 Issue: 1 |
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