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Current IssueEditorial BoardOnline First ArticlesArchive

volume 49 issue 1 (february 2015) : 39-45,   Doi: 10.5958/0976-058X.2015.00005.0

AMMI analysis to comprehend genotype-by-environment (G × E) interactions in rainfed grown soybean [Glycine max. (L)Merrill]

D
Dilip Birla*
S
S.R. Ramgiry
1Department of Plant Breeding and Genetics, R.A.K. College of Agriculture (RVSKVV) Sehore-466 001, India
Cite article:- Birla* Dilip, Ramgiry S.R. (2025). AMMI analysis to comprehend genotype-by-environment (G × E) interactions in rainfed grown soybean [Glycine max. (L)Merrill]. Indian Journal of Agricultural Research. 49(1): 39-45. doi: 10.5958/0976-058X.2015.00005.0.

ABSTRACT

The additive main effects and multiplicative interaction (AMMI) model was used to analysis the yield and yield component traits data of 25 soybean genotypes grown in three environments(Normal condition with rainfed condition, high plant population with rainfed condition and normal population with excess moisture). Main effects due to environments (E)and genotypes (G) were found significant for the all traits. The G × E interaction was significant for most of the traits, except days to 50% flowering, days to maturity and 100 seed weight (g). Gollob’s test declared two components, Principal Component Analysis1 (PCA 1) and PCA 2, statistically significant (P

REFERENCES

  1. Anandan, A.;Sabesan, T.;Eswaran, R.; Rajiv, G.;Muthalagan, N. and Suresh, R.; (2009) Appraisal of environmental interaction onquality traits of rice by additive main effects and multiplicative interaction analysis. Cereal Res Comm. 37(1): 139-148.
  2. Arslanoglu, F. and Aytac, S. (2010).Determination of stability and genotype x environment interactions of some agronomic properties in the different soybean [Glycine max.(L) Merrill] cultivars.Bulgarian J. Agric. Sci. 16(2):181-195.
  3. Asfaw A.; Alemayehu, F.; Gurum F. and Atnaf M. (2009).AMMI and SREG GGE biplot analysis for matching varieties onto soybean production environments in Ethiopia Scientific Research and Essay 4(11): 1322-1330,
  4. Cavassim J. E.; BespalhokFilho J.C.; AlliprandiniL. F.; Oliveira R.A. d.; Daros E. and Guerra E. P. (2013). Stability of Soybean Genotypes and Their Classification into Relative Maturity Groups in Brazil American J. Pl. Sci., 4: 2060-2069.
  5. Ferreira, D. F.; Demetrio, C. G. B.; Manty, B. F. J.; Machado, A. A. andVencovsky, R. (2006). Statistical model in agriculture: Biometrical methods for evaluating phenotypic stability in plant breeding. Ceme, Lavras, 12(4): 373- 388.
  6. GauchJr, H. G. (2006) Statistical Analysis of Yield Trials by AMMI and GGE. Crop Sci. 46: 1488-50.
  7. Gauch, H. G. and Zobel, R. W. (1988).Predictive and postdictive success of statistical analyses of yield trials.Ther. Appl. Genet., 76: 1-10.
  8. Hussein, M. A., Bjornstad, A., and Aastveit, A. H. (2000).A SAS programme for computing genotype x environment stability statistics.Agron.J., 92:454-459.Kang, M. S. (2004). Breeding: Genotype-by-environment interaction. In: R. M. Goodman (ed) Encyclopedia of Plant and Crop Sci. Marcel-Dekker, New York. p. 218-221.
  9. Luciano, G. A.; Moren N. M.; Olivares, J. G.G. and.Langarica H. R. G. (2013).AMMI and sequential path analyses of soybean [Glycine max (L.) Merrill] experimental lines in a breeding program in the Mexican tropics AJCS 7(11):1772-1779.
  10. Naik, V. S.; Ramana M. V.; Rao V. S. and Rao V. Srinivasa (2009). Phenotypic Stability Analysis in Soybean [Glycine max (L.) Merrill] Using Eberhart and Russell and AMMI Models Andhra Agri. J. Volume 56 (4)
  11. Oliveira, A.B.; Duarte J.B. and Pinheiro J.B. (2003).Application of AMMI analysis in the assessment of yield stability in soybean.Pesquisa Agropecuária Brasileira 38: 357-364.
  12. Panse, V. G. and Sukhatme, P. V., (1967).Statistical Methods for Agricultural Workers, 2nd Ed., Indian Council of Agricultural Research, New Delhi.
  13. Verma, N.; Sah, R. P.; Kumar, R. and Ghosh, J. (2011).Stability analysis in soybean [Glycine max (L.)Merrill]. Soybean Res. 9: 86-94.
  14. Vita, P.De.; Mastrangeloa, A.M.; Matteua, L.; Mazzucotellib, E.; Virzi,N.; Palumboc, M.; Stortod, M.L.; Rizzab, F. and Cattivelli, L.(2010). Genetic improvement effects on yield stability in durum wheat genotypes grown in Italy. Field Crop Res. 119: 68-77.
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    volume 49 issue 1 (february 2015) : 39-45,   Doi: 10.5958/0976-058X.2015.00005.0

    AMMI analysis to comprehend genotype-by-environment (G × E) interactions in rainfed grown soybean [Glycine max. (L)Merrill]

    D
    Dilip Birla*
    S
    S.R. Ramgiry
    1Department of Plant Breeding and Genetics, R.A.K. College of Agriculture (RVSKVV) Sehore-466 001, India
    Cite article:- Birla* Dilip, Ramgiry S.R. (2025). AMMI analysis to comprehend genotype-by-environment (G × E) interactions in rainfed grown soybean [Glycine max. (L)Merrill]. Indian Journal of Agricultural Research. 49(1): 39-45. doi: 10.5958/0976-058X.2015.00005.0.

    ABSTRACT

    The additive main effects and multiplicative interaction (AMMI) model was used to analysis the yield and yield component traits data of 25 soybean genotypes grown in three environments(Normal condition with rainfed condition, high plant population with rainfed condition and normal population with excess moisture). Main effects due to environments (E)and genotypes (G) were found significant for the all traits. The G × E interaction was significant for most of the traits, except days to 50% flowering, days to maturity and 100 seed weight (g). Gollob’s test declared two components, Principal Component Analysis1 (PCA 1) and PCA 2, statistically significant (P

    REFERENCES

    1. Anandan, A.;Sabesan, T.;Eswaran, R.; Rajiv, G.;Muthalagan, N. and Suresh, R.; (2009) Appraisal of environmental interaction onquality traits of rice by additive main effects and multiplicative interaction analysis. Cereal Res Comm. 37(1): 139-148.
    2. Arslanoglu, F. and Aytac, S. (2010).Determination of stability and genotype x environment interactions of some agronomic properties in the different soybean [Glycine max.(L) Merrill] cultivars.Bulgarian J. Agric. Sci. 16(2):181-195.
    3. Asfaw A.; Alemayehu, F.; Gurum F. and Atnaf M. (2009).AMMI and SREG GGE biplot analysis for matching varieties onto soybean production environments in Ethiopia Scientific Research and Essay 4(11): 1322-1330,
    4. Cavassim J. E.; BespalhokFilho J.C.; AlliprandiniL. F.; Oliveira R.A. d.; Daros E. and Guerra E. P. (2013). Stability of Soybean Genotypes and Their Classification into Relative Maturity Groups in Brazil American J. Pl. Sci., 4: 2060-2069.
    5. Ferreira, D. F.; Demetrio, C. G. B.; Manty, B. F. J.; Machado, A. A. andVencovsky, R. (2006). Statistical model in agriculture: Biometrical methods for evaluating phenotypic stability in plant breeding. Ceme, Lavras, 12(4): 373- 388.
    6. GauchJr, H. G. (2006) Statistical Analysis of Yield Trials by AMMI and GGE. Crop Sci. 46: 1488-50.
    7. Gauch, H. G. and Zobel, R. W. (1988).Predictive and postdictive success of statistical analyses of yield trials.Ther. Appl. Genet., 76: 1-10.
    8. Hussein, M. A., Bjornstad, A., and Aastveit, A. H. (2000).A SAS programme for computing genotype x environment stability statistics.Agron.J., 92:454-459.Kang, M. S. (2004). Breeding: Genotype-by-environment interaction. In: R. M. Goodman (ed) Encyclopedia of Plant and Crop Sci. Marcel-Dekker, New York. p. 218-221.
    9. Luciano, G. A.; Moren N. M.; Olivares, J. G.G. and.Langarica H. R. G. (2013).AMMI and sequential path analyses of soybean [Glycine max (L.) Merrill] experimental lines in a breeding program in the Mexican tropics AJCS 7(11):1772-1779.
    10. Naik, V. S.; Ramana M. V.; Rao V. S. and Rao V. Srinivasa (2009). Phenotypic Stability Analysis in Soybean [Glycine max (L.) Merrill] Using Eberhart and Russell and AMMI Models Andhra Agri. J. Volume 56 (4)
    11. Oliveira, A.B.; Duarte J.B. and Pinheiro J.B. (2003).Application of AMMI analysis in the assessment of yield stability in soybean.Pesquisa Agropecuária Brasileira 38: 357-364.
    12. Panse, V. G. and Sukhatme, P. V., (1967).Statistical Methods for Agricultural Workers, 2nd Ed., Indian Council of Agricultural Research, New Delhi.
    13. Verma, N.; Sah, R. P.; Kumar, R. and Ghosh, J. (2011).Stability analysis in soybean [Glycine max (L.)Merrill]. Soybean Res. 9: 86-94.
    14. Vita, P.De.; Mastrangeloa, A.M.; Matteua, L.; Mazzucotellib, E.; Virzi,N.; Palumboc, M.; Stortod, M.L.; Rizzab, F. and Cattivelli, L.(2010). Genetic improvement effects on yield stability in durum wheat genotypes grown in Italy. Field Crop Res. 119: 68-77.
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