Cluster analysis by using D2 statistics among the various bitter gourd(Momordica charantia L.) genotypes under Northern hilly regions of Kashmir
DOI:
https://doi.org/10.24154/jhs.v19i2.1845Keywords:
Bitter gourd, GCV, intra and inter cluster distances, PCV, per se performanceAbstract
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.
References
Mahalanobis, P. C. (1936). A statistical study on Chinese head measurement. Journal of the Asiatic Society of Bengal, 25, 301–377.
National Horticulture Board (2022). Data base of horticultural crops. Gurgaon, Haryana.
Panse, V. G., & Shukhatme, P. V. (1967). Statistical methods for agriculture workers (2nd Eds.). Indian Council of Agriculture Research, New Delhi.
Rani, K. R. (2014). Performance of bitter gourd genotypes for yield and earliness. Annals of Plant and Soil Research, 16(4), 330-333.
Rao, C. R. (1952). Advanced statistical methods in biometrical research. Wiley and Sons, New York. doi: 10.2307/2980952
Resmi, J., & Sreelathakumary, I. (2012). Studies on genetic divergence in bitter gourd (Momordica charantia L.). Journal of Horticultural Sciences, 7(2), 152-155. https://doi.org/10.24154/jhs.v7i2.367
Sagar, K. R., Babu, B. R., Babu, M. R., & Paratpara, M. (2022). Mean performance of different bitter gourd genotypes for various growth and yield characters. Pharma Innovation, 11(8), 1241-1246.
Saho, K. (2015). Performance of bitter gourd genotypes for yield and earliness. Annals of Plant and Soil Research, 16(4), 330-333.
Singh, W. J., & Kandasamy, R. (2020). Genetic diversity in bitter gourd (Momordica Charantia L.) under coastal ecosystems. Plant
Archives, 20, 1063-1066.
Talukder, Z. H., Khan, M. H., Das, A. K., & Uddin, N. (2018). Assessment of genetic variability, heritability and genetic advance in bitter gourd (Momordica charantia L.) for yield and yield contributing traits in Bangladesh. Scholar Journal of Applied Sciences and Research,
(6), 09-18.
Triveni, D., Jyothi, K. U., Dorajeerao, A.V.D., & Mamatha, K. (2021). Genetic variability, heritability and genetic advance studies in bitter
gourd (Momordica charantia) for yield and its contributing traits. Crop Research, 56(1&2), 50-55.
Tyagi, N., Singh, V.B., & Tripathi, V. (2018). Studies on genetic divergence in bitter gourd (Momordica charantia L.). Indian Journal of
Ecology, 44, 607-609.
Yadagiri, J., Gupta, N. K., Tembhire, D., & Verma, S. (2017). Genetic variability, heritability and morphological characterization in bitter gourd (Momordica charantia L.). International Journal of Pure and Applied Bioscience, 5(4), 1322-1327. doi: http://dx.doi.org/10.18782/
-7051.5710
Downloads
Published
Issue
Section
License
Copyright (c) 2024 Singh P K, Srinivasulu Biyyala (Author)
This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.
Authors retain copyright. Articles published are made available as open access articles, distributed under the terms of the Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License, which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original author and source are credited.
This journal permits and encourages authors to share their submitted versions (preprints), accepted versions (postprints) and/or published versions (publisher versions) freely under the CC BY-NC-SA 4.0 license while providing bibliographic details that credit, if applicable.