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Research Article

volume 42 issue 4 (august 2019) : 467-472,   Doi: 10.18805/LR-3901

Identification of stable lentil (Lens culinaris Medik) genotypes through GGE biplotand AMMI analysis for North Hill Zone of India

M
Muniyandi Samuel Jeberson
K
Kadanamari Sankarappa Shashidhar
S
Shabir Hussain Wani
A
Amit Kumar Singh
S
Sher Ahmad Dar
1Plant Breeding, AICRP on MULLaRP, DoR, Central Agricultural University, Imphal-795 004, Manipur, India.

  • Submitted12-06-2017|

  • Accepted13-11-2017|

  • First Online 15-02-2018|

  • doi 10.18805/LR-3901

Cite article:- Jeberson Samuel Muniyandi, Shashidhar Sankarappa Kadanamari, Wani Hussain Shabir, Singh Kumar Amit, Dar Ahmad Sher (2018). Identification of stable lentil (Lens culinaris Medik) genotypes through GGE biplotand AMMI analysis for North Hill Zone of India. Legume Research. 42(4): 467-472. doi: 10.18805/LR-3901.

ABSTRACT

In the present investigation with 24 lentil genotypes, first two Principal components revealed more than 90 per cent of the variability for the yield which indicates that G and GE together accounted for more than 10 per cent of total variability. Based on the present analysis of using GGE biplot models, considering simultaneous mean yield and stability, the genotypes G4, G12, G6, G13 and G2 were relatively stable in all the environments.The environment E1(Berthin) was discriminative (informative). This environment contributed most to the variability in grain yield. Hence, GGE biplot method is suitable to discriminate the genotypes based on their stable and instability nature across the environments.The AMMI analysis revealed that G13, G14, G12, G2, G23, G16 and G9 had wide adaptation and not be affected by the Genotype x environment interaction (GxE); hence mayyieldedgood across the environments. E2 and E3 could be considered as good selection sites for identifying broad based and most adaptable lentil genotypes. This study has clearly and by far aided in identification of stable and superior genotypes in graphical representation. 

REFERENCES

  1. Ali, Y., and Sarwar, G., (2008). Genotype x environment interaction of cowpea genotypes. International. Journal of Environmental Research 2: 125-132.
  2. Bhartiya, A., Aditya, J.P., Kumari, V., Kishore, N., Purwar, J.P., Agrawal, A. and Kant, L., (2017). GGE BIPLOT & AMMI analysis of yield stability in multi-environment trial of soybean [Glycine max (L.) Merrill] genotypes under rainfed condition of north western Himalayan hills. Journal of Animal and Plant Sciences, 27: 227-238.
  3. Crossa, J., Fox, P.N., Pfeiffer, W.H., Rajaram, S. and Gauch Jr, G.H.,(1991). AMMI adjustment for statistical analysis of an international wheat trial. Theoretical and Applied Genetics,81:27-37.
  4. Danyali, S. F., Razavi, F., Ebadi-Segherloo, A., Dehghani, H., Sabaghpour, S. H., (2012). Yield stability in chickpea (Cicer arietinum L.) and study relationship among the univariate and multivariate stability parameters. Research in Plant Biology, 2: 46-61.
  5. Dehghani, H., Omidi, H., Sabaghnia, N. (2008). Graphic analysis of trait relations of rapeseed using the biplot method. Agronomy Journal,100:1443–1449.
  6. Erskine, W. (2009). Global production, supply and demand, the Lentil: botany, production and uses. 480,p.4-13.
  7. Gauch , H.G., and Zobel, R.W., (1988). Predictive and postdictive success of statistical analyses of yield trials. Theoretical and Applied Genetics, 76:1-10.
  8. Gauch, H.G., Piepho, H.P., Annicchiarico, P., (2008). Statistical analysis of yield trials by AMMI and GGE: further considerations. Crop Science,48:866–889.
  9. Hassan, M.S., Mohamed, G.I.A., El-Said, R.A.R.,(2013). Stability analysis for grain yield and its components of some durum wheat genotypes (Triticum durum L.) under different environments. Asian Journal of Crop Science, 5:179.
  10. Hoyos-Villegas, V., Wright, E.M.,Kelly, J.D., (2016). GGE Biplot analysis of yield associations with root traits in a mesoamerican bean diversity panel.Crop Science, 56:1081-1094.
  11. Kamut, C.N., Muungani, D., Masvodza, D.R., Gasura, E., (2013). Exploiting genotype x environment interaction in maize breeding in Zimbabwe. African Journal of Agricultural Research, 8:4058-4066.
  12. Negash, K., Tumsa, K., Amsalu, B., Gebeyehu, S., Atero, B., Assefe, S., Teso, B., Arega, A., (2017). Grouping of environments for testing navy bean in Ethiopia.Ethiopian Journal of Agricultural Sciences,27:111-130.
  13. Rakshit, S., Ganapathy, K.N., Gomashe, S.S., Rathore, A., Ghorade, R.B., Kumar, M.N.,et al., (2012) GGE biplot analysis to evaluate genotype, environment and their interactions in sorghum multi-location data. Euphytica, 185:465-479.
  14. Rezene, Y., Bekele, A., Goa,, Yasin., (2014). GGE and AMMI biplot analysis for fieldpea yield stability in SNNPR state, Ethiopia. International Journal of Sustainable Agricultural Research, 1(1): 28-38. 
  15. Sabaghnia, N., Dehghani, H., Sabaghpour, S.H., (2008). Graphic analysis of genotype by environment interaction for lentil yield in Iran. Agronomy Journal, 100: 760-764.
  16. Saed, M., and Francis, C.A., (1984). Association of weather variable with genotype 9 environment interactions in grain sorghum. Crop Science, 24:13–16. 
  17. STAR (2014). Biometrics and Breeding Informatics, version 2.0.1., PBGB Division, Los Baños, Laguna: International Rice Research Institute.
  18. Yan, W., Kang, M.S., Ma, B.L., Woods, S., Cornelius, P.L. (2007). GGE biplot vs. AMMI analysis of genotype-by-environment data. Crop Science, 47:643–653.
  19. Yan, W., Tinker, N.A. (2006). Biplot analysis of multi-environment trial data: principles and applications. Canadian Journal Plant Sciences, 86:623–645.
  20. Yang, RC. (2007).Biplot Analysis of Genotype × Environment Interaction: Proceed with Caution. Crop Science. 49:1564–1576
  21. Yau, S.K. (1995). Regression and AMMI analyses of genotype x environment interactions: An empirical comparison. Agronomy Journal, 87: 121-126.
  22. Zali, H., Farshadfar, S.H. Sabaghpour. and Karimizadeh, R., (2012). Evaluation of genotype x environment interaction in chickpea using measures of stability from AMMI model. Annals Biological Research,3:3126-3136.
  23. Zobel, R.W., Madison, J.W. and Gauch Jr, G.H., (1988). Statistical analysis of a yield trial. Agronomy Journal, 80:388-393. 
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    Research Article

    volume 42 issue 4 (august 2019) : 467-472,   Doi: 10.18805/LR-3901

    Identification of stable lentil (Lens culinaris Medik) genotypes through GGE biplotand AMMI analysis for North Hill Zone of India

    M
    Muniyandi Samuel Jeberson
    K
    Kadanamari Sankarappa Shashidhar
    S
    Shabir Hussain Wani
    A
    Amit Kumar Singh
    S
    Sher Ahmad Dar
    1Plant Breeding, AICRP on MULLaRP, DoR, Central Agricultural University, Imphal-795 004, Manipur, India.

    • Submitted12-06-2017|

    • Accepted13-11-2017|

    • First Online 15-02-2018|

    • doi 10.18805/LR-3901

    Cite article:- Jeberson Samuel Muniyandi, Shashidhar Sankarappa Kadanamari, Wani Hussain Shabir, Singh Kumar Amit, Dar Ahmad Sher (2018). Identification of stable lentil (Lens culinaris Medik) genotypes through GGE biplotand AMMI analysis for North Hill Zone of India. Legume Research. 42(4): 467-472. doi: 10.18805/LR-3901.

    ABSTRACT

    In the present investigation with 24 lentil genotypes, first two Principal components revealed more than 90 per cent of the variability for the yield which indicates that G and GE together accounted for more than 10 per cent of total variability. Based on the present analysis of using GGE biplot models, considering simultaneous mean yield and stability, the genotypes G4, G12, G6, G13 and G2 were relatively stable in all the environments.The environment E1(Berthin) was discriminative (informative). This environment contributed most to the variability in grain yield. Hence, GGE biplot method is suitable to discriminate the genotypes based on their stable and instability nature across the environments.The AMMI analysis revealed that G13, G14, G12, G2, G23, G16 and G9 had wide adaptation and not be affected by the Genotype x environment interaction (GxE); hence mayyieldedgood across the environments. E2 and E3 could be considered as good selection sites for identifying broad based and most adaptable lentil genotypes. This study has clearly and by far aided in identification of stable and superior genotypes in graphical representation. 

    REFERENCES

    1. Ali, Y., and Sarwar, G., (2008). Genotype x environment interaction of cowpea genotypes. International. Journal of Environmental Research 2: 125-132.
    2. Bhartiya, A., Aditya, J.P., Kumari, V., Kishore, N., Purwar, J.P., Agrawal, A. and Kant, L., (2017). GGE BIPLOT & AMMI analysis of yield stability in multi-environment trial of soybean [Glycine max (L.) Merrill] genotypes under rainfed condition of north western Himalayan hills. Journal of Animal and Plant Sciences, 27: 227-238.
    3. Crossa, J., Fox, P.N., Pfeiffer, W.H., Rajaram, S. and Gauch Jr, G.H.,(1991). AMMI adjustment for statistical analysis of an international wheat trial. Theoretical and Applied Genetics,81:27-37.
    4. Danyali, S. F., Razavi, F., Ebadi-Segherloo, A., Dehghani, H., Sabaghpour, S. H., (2012). Yield stability in chickpea (Cicer arietinum L.) and study relationship among the univariate and multivariate stability parameters. Research in Plant Biology, 2: 46-61.
    5. Dehghani, H., Omidi, H., Sabaghnia, N. (2008). Graphic analysis of trait relations of rapeseed using the biplot method. Agronomy Journal,100:1443–1449.
    6. Erskine, W. (2009). Global production, supply and demand, the Lentil: botany, production and uses. 480,p.4-13.
    7. Gauch , H.G., and Zobel, R.W., (1988). Predictive and postdictive success of statistical analyses of yield trials. Theoretical and Applied Genetics, 76:1-10.
    8. Gauch, H.G., Piepho, H.P., Annicchiarico, P., (2008). Statistical analysis of yield trials by AMMI and GGE: further considerations. Crop Science,48:866–889.
    9. Hassan, M.S., Mohamed, G.I.A., El-Said, R.A.R.,(2013). Stability analysis for grain yield and its components of some durum wheat genotypes (Triticum durum L.) under different environments. Asian Journal of Crop Science, 5:179.
    10. Hoyos-Villegas, V., Wright, E.M.,Kelly, J.D., (2016). GGE Biplot analysis of yield associations with root traits in a mesoamerican bean diversity panel.Crop Science, 56:1081-1094.
    11. Kamut, C.N., Muungani, D., Masvodza, D.R., Gasura, E., (2013). Exploiting genotype x environment interaction in maize breeding in Zimbabwe. African Journal of Agricultural Research, 8:4058-4066.
    12. Negash, K., Tumsa, K., Amsalu, B., Gebeyehu, S., Atero, B., Assefe, S., Teso, B., Arega, A., (2017). Grouping of environments for testing navy bean in Ethiopia.Ethiopian Journal of Agricultural Sciences,27:111-130.
    13. Rakshit, S., Ganapathy, K.N., Gomashe, S.S., Rathore, A., Ghorade, R.B., Kumar, M.N.,et al., (2012) GGE biplot analysis to evaluate genotype, environment and their interactions in sorghum multi-location data. Euphytica, 185:465-479.
    14. Rezene, Y., Bekele, A., Goa,, Yasin., (2014). GGE and AMMI biplot analysis for fieldpea yield stability in SNNPR state, Ethiopia. International Journal of Sustainable Agricultural Research, 1(1): 28-38. 
    15. Sabaghnia, N., Dehghani, H., Sabaghpour, S.H., (2008). Graphic analysis of genotype by environment interaction for lentil yield in Iran. Agronomy Journal, 100: 760-764.
    16. Saed, M., and Francis, C.A., (1984). Association of weather variable with genotype 9 environment interactions in grain sorghum. Crop Science, 24:13–16. 
    17. STAR (2014). Biometrics and Breeding Informatics, version 2.0.1., PBGB Division, Los Baños, Laguna: International Rice Research Institute.
    18. Yan, W., Kang, M.S., Ma, B.L., Woods, S., Cornelius, P.L. (2007). GGE biplot vs. AMMI analysis of genotype-by-environment data. Crop Science, 47:643–653.
    19. Yan, W., Tinker, N.A. (2006). Biplot analysis of multi-environment trial data: principles and applications. Canadian Journal Plant Sciences, 86:623–645.
    20. Yang, RC. (2007).Biplot Analysis of Genotype × Environment Interaction: Proceed with Caution. Crop Science. 49:1564–1576
    21. Yau, S.K. (1995). Regression and AMMI analyses of genotype x environment interactions: An empirical comparison. Agronomy Journal, 87: 121-126.
    22. Zali, H., Farshadfar, S.H. Sabaghpour. and Karimizadeh, R., (2012). Evaluation of genotype x environment interaction in chickpea using measures of stability from AMMI model. Annals Biological Research,3:3126-3136.
    23. Zobel, R.W., Madison, J.W. and Gauch Jr, G.H., (1988). Statistical analysis of a yield trial. Agronomy Journal, 80:388-393. 
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