Cluster analysis by using D2 statistics among the various bitter gourd(Momordica charantia L.) genotypes under Northern hilly regions of Kashmir

Authors

  • Singh P K Sher-e-Kashmir University of Agricultural Sciences and Technology, Shalimar, Srinagar - 190 005, Jammu & Kashmir, India Author
  • Srinivasulu Biyyala Vignan’s Foundation for Science, Technology and Research, Vadlamudi, Guntur - 522 213, Andhra Pradesh, India Author

DOI:

https://doi.org/10.24154/jhs.v19i2.1845

Keywords:

Bitter gourd, GCV, intra and inter cluster distances, PCV, per se performance

Abstract

Thirty-three bitter gourd genotypes were evaluated to estimate the per se performance, genetic variability and cluster analysis for growth and yield traits. Per se performance demonstrated that the genotypes viz., Phule Green Goal, B.G. Kantedar and NDBG-3 are high yielders, whereas, NDBG-5 and Pant Karela-1 were earlier in flowering. The higher magnitude of coefficient of variation at phenotypic as well as genotypic levels were observed for fruit yield per plant, total chlorophyll content and node number to anthesis of first pistillate flower. The presence of high heritability in broad sense (h2bs) along with high genetic advance in per cent of mean
were observed for total chlorophyll content, node number to anthesis of first female flower and vine length. Estimates of cluster analysis revealed that 33 genotypes were grouped into six distinct clusters. Maximum inter- cluster distances were observed between clusters IV and VI, cluster III and VI, cluster II and VI and cluster IV and V, whereas, maximum intra-cluster distance was observed in cluster I. The crosses between the genotypes of cluster IV with VI and Cluster III with VI are likely to exhibit high hybrid vigour and could produce recombinants with desired traits in segregating generations.

Author Biographies

  • Singh P K, Sher-e-Kashmir University of Agricultural Sciences and Technology, Shalimar, Srinagar - 190 005, Jammu & Kashmir, India

    Division of Vegetable Science, Sher-e-Kashmir University of Agricultural Sciences and Technology,
    Shalimar, Srinagar - 190 005, Jammu & Kashmir, India

  • Srinivasulu Biyyala, Vignan’s Foundation for Science, Technology and Research, Vadlamudi, Guntur - 522 213, Andhra Pradesh, India

    Department of Agricultural and Horticultural Sciences, Vignan’s Foundation for Science, Technology and Research, Vadlamudi, Guntur - 522 213, Andhra Pradesh, India

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Published

27-12-2024

How to Cite

Singh, P. K., & Biyyala, S. (2024). Cluster analysis by using D2 statistics among the various bitter gourd(Momordica charantia L.) genotypes under Northern hilly regions of Kashmir. Journal of Horticultural Sciences, 19(2). https://doi.org/10.24154/jhs.v19i2.1845

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