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International Journal of Current Microbiology and Applied Sciences (IJCMAS)
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Original Research Articles                      Volume : 7, Issue:3, March, 2018

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.2018.7(3): 3000-3006
DOI: https://doi.org/10.20546/ijcmas.2018.703.347


Phenotypic Divergence for Yield and Drought Tolerance Related Traits in Groundnut Genotypes under Rainfed Conditions
G. Kavitha* and M. Reddi Sekhar
Department of Genetics & Plant Breeding, S.V. Agricultural College, ANGRAU, Tirupathi, Andhra Pradesh-517 502, India
*Corresponding author
Abstract:

Fifty groundnut genotypes were evaluated in kharif 2014 under rainfed conditions. Data was collected on sixteen yield and drought related traits to assess the phenotypic diversity and to investigate the relationship between pod yield and other drought tolerance related traits in groundnut. Coefficient of variation ranged from 0.72 to 13.33. Clustering based on groundnut genotypes separated the measured traits into three main groups and based on traits it separated groundnut genotypes into five major groups. Number of pods per plant, dry matter per plant, SLA at 80 DAS, number of sound mature kernels per plant, kernel yield per plant and SLA at 60 DAS were the most related traits with pod yield per plant. The genotypes MLTG(SB)-3, MLTG(SB)-6, MLTG(VB)-11 and MLTG(VB)-2 could be utilized for improving pod yield per plant and its component traits.


Keywords: Groundnut, Phenotypic diversity, Cluster analysis, Pod yield

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How to cite this article:

Kavitha, G. and Reddi Sekhar, M. 2018. Phenotypic Divergence for Yield and Drought Tolerance Related Traits in Groundnut Genotypes under Rainfed Conditions.Int.J.Curr.Microbiol.App.Sci. 7(3): 3000-3006. doi: https://doi.org/10.20546/ijcmas.2018.703.347
Copyright: This is an Open Access article distributed under the terms of the Creative Commons Attribution-NonCommercial-ShareAlike license.

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