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International Journal of Current Microbiology and Applied Sciences (IJCMAS)
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Original Research Articles                      Volume : 9, Issue:6, June, 2020

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.2020.9(6): 3247-3259
DOI: https://doi.org/10.20546/ijcmas.2020.906.388


Assessment of Variability and Character Association in Pearl Millet [Pennisetum glaucum (L.) R.Br.]
R. Annamalai1*, N. Aananthi1, M. Arumugam Pillai1 and D. Leninraja2
1Department of Plant Breeding and Genetics, Agricultural College and Research Institute, Killikulam, Tamil Nadu, India
2Department of Soil Science and Agricultural Chemistry, Agricultural College and Research Institute, Killikulam, Tamil Nadu, India
*Corresponding author
Abstract:

The present investigation was carried out to study the genetic variability parameters and character association in fifty pearl millet genotypes for thirteen different biometrical traits. A wide range was observed for all parameters of genetic variability for all the traits. The traits like grain yield, seed weight per spike, number of productive tillers, flag leaf area, number of nodes per plant showed greatest variability and considered highly variable compared to other biometrical traits. Character association studies revealed that grain yield was highly significant and positively correlated with seed weight per spike (0.70), spike length (0.69), 1000 grain weight (0.56), number of productive tillers (0.53), number of tillers per plant (0.49) and peduncle length (0.42). Highest direct effect on grain yield was contributed by the number of productive tillers per plant and seed weight per spike. Number of nodes per plant and number of tillers per plant showed high positive and indirect effect on grain yield through number of productive tillers. Hence, these traits were regarded as significant attributes in devising selection criteria for attaining yield objectives.


Keywords: Pearl millet, Grain yield, Genetic variability, Correlation coefficient, Path analysis

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How to cite this article:

Annamalai, R., N. Aananthi, M. Arumugam Pillai and Leninraja, D. 2020. Assessment of Variability and Character Association in Pearl Millet [Pennisetum glaucum (L.) R.Br.].Int.J.Curr.Microbiol.App.Sci. 9(6): 3247-3259. doi: https://doi.org/10.20546/ijcmas.2020.906.388
Copyright: This is an Open Access article distributed under the terms of the Creative Commons Attribution-NonCommercial-ShareAlike license.

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