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International Journal of Current Microbiology and Applied Sciences (IJCMAS)
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National Academy of Agricultural Sciences (NAAS)
NAAS Score: *5.38 (2019)
[Effective from January 1, 2019]
For more details click here

ICV 2017: 100.00
Index Copernicus ICI Journals Master List 2017 - IJCMAS--ICV 2017: 100.00
For more details click here

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PRINT ISSN : 2319-7692
Online ISSN : 2319-7706
Issues : 12 per year
Publisher : Excellent Publishers
Email : editorijcmas@gmail.com / submit@ijcmas.com
Editor-in-chief: Dr.M.Prakash
Index Copernicus ICV 2017: 100.00
NAAS RATING 2018: 5.38

Int.J.Curr.Microbiol.App.Sci.2019.8(2): 656-664
DOI: https://doi.org/10.20546/ijcmas.2019.802.074


Investigation on Genetic Variability Parameters and Association of Traits in Horsegram (Macrotyloma uniflorum (Lam) Verdc.)
S. Priyanka, R. Sudhagar*, C. Vanniarajan and K. Ganesamurthy
Centre for Plant Breeding and Genetics, Tamil Nadu Agricultural University, Coimbatore, Tamil Nadu, India
*Corresponding author
Abstract:

The extent of genetic variability and association between twelve quantitative traits in 252 horsegram genotypes was assessed. The study revealed the existence of wide range of variability in the genotypes. The difference between GCV and PCV was narrow which indicated less influence of environment on trait expression. High variability coupled with greater heritability and genetic advance was recorded in six traits viz., plant height, number of clusters per plant, number of primary branches, number of pods per plant, number of pods per cluster and single plant yield indicating better scope for improvement of these traits through adoption of simple selection techniques. Correlation and path analysis revealed that six traits viz., number of cluster per plant, plant height, pod length, number of pods per plant, number of pods per cluster and number of seeds per pod had positive and direct effects with yield. Additionally these traits were also found to be influencing with yield indirectly through other yield attributing traits. Therefore, prioritized selection of these traits would be more promising for horsegram yield improvement.


Keywords: Horsegram, Quantitative traits, Variability, Correlation and Path analyses
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How to cite this article:

Priyanka, S., R. Sudhagar, C. Vanniarajan and Ganesamurthy, K. 2019. Investigation on Genetic Variability Parameters and Association of Traits in Horsegram (Macrotyloma uniflorum (Lam) Verdc.).Int.J.Curr.Microbiol.App.Sci. 8(2): 656-664. doi: https://doi.org/10.20546/ijcmas.2019.802.074