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Research Article

volume 43 issue 5 (october 2020) : 698-701,   Doi: 10.18805/LR-4177

Analysis of Multi-Environment Yield Trails of Clusterbean [Cyamopsis tetragonoloba (L.) Taub.] Genotypes using GGE Biplot 

A
A. Manivannan
1Centre for Plant Breeding and Genetics, Tamil Nadu Agricultural University, Coimbatore-641 003, Tamil Nadu, India.

  • Submitted04-06-2019|

  • Accepted05-09-2019|

  • First Online 03-12-2019|

  • doi 10.18805/LR-4177

Cite article:- Manivannan A. (2019). Analysis of Multi-Environment Yield Trails of Clusterbean [Cyamopsis tetragonoloba (L.) Taub.] Genotypes using GGE Biplot. Legume Research. 43(5): 698-701. doi: 10.18805/LR-4177.

ABSTRACT

A set of 42 clusterbean genotypes were evaluated for yield attributing trait pods per plant over three environments. Pooled analysis of variance showed that Environments (E) explained highest proportion of variation for pods per plant, accounting for 42.16% of it, followed by G × E interactions (GEI) effects (31.1%) and genotype (26.7%). Higher effect of GEI compared to G alone indicated the possible existence of mega environments among the testing locations. The biplot explained 89% of the total variation relative to G plus GEI. Based on environment discrimination test, Environment 1(Madurai) is the ideal environment. Which Won Where (WWW) Polygon identified the most diverse genotypes namely M local, T local, RGC1055, RGC1033, HGS75, MRSG6 and CAZG10-2 were found to be highly diverse. These genotypes also occupied the convex of the hull. The genotype CAZG10-2 won in the Environment1 (E1) and the genotype HGS75 won in both environments E2 (Coimbatore) and E3 (Kovilpatti). Genotype stability test identified genotypes namely RGC1031, R local, HGS75, MRG1786, HGS2-1, HGS365, RGC1003, HGS2-4, HGS2-20 and PNB were stable over the other genotypes as they placed near to the Average Environment Coordination (AEC) abscissa. 

REFERENCES

  1. Gabriel, K.R. (1971). The biplot graphic display of matrices with application to principal component analysis. Biometrika. 58:453-467.
  2. Manivannan, A., Anandakumar, C.R., Ushakumari, R and Dahiya, G.S. (2016). Characterization of Indian clusterbean (Cyamopsis tetragonoloba (L.)Taub.) genotypes using qualitative morphological traits. Genet Resour Crop Evol. 63:483-493.
  3. Sabaghnia, N., Dehghani, H and Sabaghpour S.H. (2008). Graphic analysis of genotype by environment interaction for lentil yield in Iran. Agron. J. 100:760-764.
  4. Yan, W. (1999). Methodology of cultivar evaluation based on yield trial data-with special reference to winter wheat in Ontario. Ph.D. Thesis, University of Guleph, Guleph, ON., Canada.
  5. Yan, W. (2001). GGE biplot-a windows application for graphical analysis of multi-environment trial data and other types of two-way data. Agron J. 93:1111-1118.
  6. Yan, W. and Hunt, L.A. (1998). Genotype-by-environment interaction wheat breeding and crop yield. Plant Breed. Rev. 16:135-178
  7. Yan, W. and Kang, M.S. (2003). GGE biplot analysis: a graphical tool for breeders, geneticists, and agronomists. CRC Press, Boca Raton.
  8. Yan, W. and Tinker, N.A. (2006). Biplot analysis of multi-environment trial data: principles and applications. Can J Plant Sci. 86:623-645.
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    Research Article

    volume 43 issue 5 (october 2020) : 698-701,   Doi: 10.18805/LR-4177

    Analysis of Multi-Environment Yield Trails of Clusterbean [Cyamopsis tetragonoloba (L.) Taub.] Genotypes using GGE Biplot 

    A
    A. Manivannan
    1Centre for Plant Breeding and Genetics, Tamil Nadu Agricultural University, Coimbatore-641 003, Tamil Nadu, India.

    • Submitted04-06-2019|

    • Accepted05-09-2019|

    • First Online 03-12-2019|

    • doi 10.18805/LR-4177

    Cite article:- Manivannan A. (2019). Analysis of Multi-Environment Yield Trails of Clusterbean [Cyamopsis tetragonoloba (L.) Taub.] Genotypes using GGE Biplot. Legume Research. 43(5): 698-701. doi: 10.18805/LR-4177.

    ABSTRACT

    A set of 42 clusterbean genotypes were evaluated for yield attributing trait pods per plant over three environments. Pooled analysis of variance showed that Environments (E) explained highest proportion of variation for pods per plant, accounting for 42.16% of it, followed by G × E interactions (GEI) effects (31.1%) and genotype (26.7%). Higher effect of GEI compared to G alone indicated the possible existence of mega environments among the testing locations. The biplot explained 89% of the total variation relative to G plus GEI. Based on environment discrimination test, Environment 1(Madurai) is the ideal environment. Which Won Where (WWW) Polygon identified the most diverse genotypes namely M local, T local, RGC1055, RGC1033, HGS75, MRSG6 and CAZG10-2 were found to be highly diverse. These genotypes also occupied the convex of the hull. The genotype CAZG10-2 won in the Environment1 (E1) and the genotype HGS75 won in both environments E2 (Coimbatore) and E3 (Kovilpatti). Genotype stability test identified genotypes namely RGC1031, R local, HGS75, MRG1786, HGS2-1, HGS365, RGC1003, HGS2-4, HGS2-20 and PNB were stable over the other genotypes as they placed near to the Average Environment Coordination (AEC) abscissa. 

    REFERENCES

    1. Gabriel, K.R. (1971). The biplot graphic display of matrices with application to principal component analysis. Biometrika. 58:453-467.
    2. Manivannan, A., Anandakumar, C.R., Ushakumari, R and Dahiya, G.S. (2016). Characterization of Indian clusterbean (Cyamopsis tetragonoloba (L.)Taub.) genotypes using qualitative morphological traits. Genet Resour Crop Evol. 63:483-493.
    3. Sabaghnia, N., Dehghani, H and Sabaghpour S.H. (2008). Graphic analysis of genotype by environment interaction for lentil yield in Iran. Agron. J. 100:760-764.
    4. Yan, W. (1999). Methodology of cultivar evaluation based on yield trial data-with special reference to winter wheat in Ontario. Ph.D. Thesis, University of Guleph, Guleph, ON., Canada.
    5. Yan, W. (2001). GGE biplot-a windows application for graphical analysis of multi-environment trial data and other types of two-way data. Agron J. 93:1111-1118.
    6. Yan, W. and Hunt, L.A. (1998). Genotype-by-environment interaction wheat breeding and crop yield. Plant Breed. Rev. 16:135-178
    7. Yan, W. and Kang, M.S. (2003). GGE biplot analysis: a graphical tool for breeders, geneticists, and agronomists. CRC Press, Boca Raton.
    8. Yan, W. and Tinker, N.A. (2006). Biplot analysis of multi-environment trial data: principles and applications. Can J Plant Sci. 86:623-645.
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