International Journal of Current Microbiology and Applied Sciences (IJCMAS)
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Original Research Articles                      Volume : 8, Issue:4, April, 2019

PRINT ISSN : 2319-7692
Online ISSN : 2319-7706
Issues : 12 per year
Publisher : Excellent Publishers
Email : /
Editor-in-chief: Dr.M.Prakash
Index Copernicus ICV 2018: 95.39
NAAS RATING 2020: 5.38

Int.J.Curr.Microbiol.App.Sci.2019.8(4): 52-58

Analysis of Genetic Variability to Improve Yield and Resistance to Bacterial Leaf Blight in Rice (Oryza sativa L) Germplasm
Mukul1*, Sandhya2, P.K. Singh3, S.P. Singh3 and Aprajita3
1Department of Genetics and Plant Breeding, Institute of Agricultural Sciences, Banaras Hindu University, Varanasi-221005, India
2Department of GPB, AU, Kota, Rajasthan, India
3Department of GPB, IAS, BHU, Varanasi, India
*Corresponding author

One hundred indigenous collection of rice germplasm were evaluated for ten quantitative traits to assess the genetic variability, heritability, associations and estimation of yield related traits including area under disease progress curve for bacterial leaf blight. was present for all the traits,. In all germplasm, the analysis of variance revealed a wide range of variability and significant differences for the characters under study, indicating the presence of high genetic variability among the genotypes and considerable scope for selection. The estimates of genotypic coefficient of variance were lower than the respective phenotypic coefficient of variance, indicating the influence of environmental factors on the expression of the traits studied. The high heritability was observed for grain yield per plant, thousand grain weight, total spikelets per panicle, number of effective tillers per plant, plant height, grain weight per panicle, days to maturity and days to 50 per cent flowering. The phenotypic correlation coefficients were positive and highly significant between grain yield per plant with days to 50% flowering, days to maturity, total spikelets per panicle, grain weight per panicle and thousand grain weight. The correlation between area under disease progress curve and number of effective tillers per plant and thousand grain weight was positive.

Keywords: Correlation, Genetic advance, Grain yield, Heritability, GCV, PCV

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How to cite this article:

Mukul, Sandhya, P.K. Singh, S.P. Singh and Aprajita. 2019. Analysis of Genetic Variability to Improve Yield and Resistance to Bacterial Leaf Blight in Rice (Oryza sativa L) Germplasm.Int.J.Curr.Microbiol.App.Sci. 8(4): 52-58. doi:
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