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International Journal of Current Microbiology and Applied Sciences (IJCMAS)
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Original Research Articles                      Volume : 6, Issue:7, July, 2017

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 2018: 95.39
NAAS RATING 2020: 5.38

Int.J.Curr.Microbiol.App.Sci.2017.6(7): 760-769
DOI: https://doi.org/10.20546/ijcmas.2017.607.095


Multivariate analysis in Mungbean (Vigna radiata L. Wilczek) for Genetic Diversity under Acidic Soils of Manipur, India
Muniyandi Samuel Jeberson1*, Kadanamari Sankarappa Shashidhar2, Shabir H. Wani3 and Amit Kumar Singh4
1Plant Breeding,
2Agronomy, AICRP on MULLaRP, DoR, Central Agricultural University,
Imphal, Manipur, India
3Mountain Research Centre For Field Crops, Khudwani Anantnag-192101, Sher-e-Kashmir University of Agricultural Sciences and Technology of Kashmir, J&K, India
4Agronomy, AICRP on RM, Central Agricultural University, Imphal, Manipur, India
*Corresponding author
Abstract:

Mungbean is one of the significant summer pulse crop in India and Manipur. A study was carried out to evaluate 24 mungbean genotypes for variability available between them using nine quantitative traits. Analysis of variance revealed significant differences among the mungbean genotypes for the characters studied. The estimation of genetic variability in the 24 advanced mungbean breeding lines shows good amount of genetic variability. Genetic advance as percent of mean was moderate to high for all the characters studied. The seed yield was significantly, positively correlated with all the characters except days to 50% flowering, days to maturity and 100 seed weight. Path analysis revealed that, pod length and number of cluster/plant were the two important characters for yield improvement. Genotypes MH 921, BM 2012-9, Pusa 0672, PM-10-18, GM 05-08, IPM 312-19, MH 729A and ML 2410 formed a group in right top corner of the biplot shows positive values of both the PCs and the characters viz., Pod length, yield/plot, seed weight and seeds/pod are also placed in the same quadrant shows these characters were mostly influencing the grain yield. In the present study, cluster III having the highest mean yield, followed by the cluster IV, so genotypes corresponding to these clusters can be utilized for the future breeding programme. Based on the present investigation, correlation coefficient, path analysis, principal component and cluster analysis together were utilized for the selection of genotypes for future mungbean breeding programme.


Keywords: Multivariate, Mungbean, Genetic diversity, Manipur.

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How to cite this article:

Muniyandi Samuel Jeberson, Kadanamari Sankarappa Shashidhar, Shabir H. Wani and Amit Kumar Singh. 2017. Multivariate analysis in Mungbean (Vigna radiata L. Wilczek) for Genetic Diversity under Acidic Soils of Manipur, India.Int.J.Curr.Microbiol.App.Sci. 6(7): 760-769. doi: https://doi.org/10.20546/ijcmas.2017.607.095
Copyright: This is an Open Access article distributed under the terms of the Creative Commons Attribution-NonCommercial-ShareAlike license.

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