International Journal of Current Microbiology and Applied Sciences (IJCMAS)
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Original Research Articles                      Volume : 9, Issue:11, November, 2020

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.2020.9(11): 3057-3062

Correlation Coefficient Analysis for Yield and its Components in Joha Rice (Oryza sativa L.) Genotypes of Assam in Response to Organic and Inorganic Condition
Khirud Panging1*, Debojit Sarma1, Rumjhum Goswami Phukon1 and Larbeen Teronpi2
1Department of Plant Breeding and Genetics, Jorhat, Assam, India
2Department of Crop Physiology, Assam Agricultural University, Jorhat, Assam, India
*Corresponding author

Twelve genotypes of rice (Oryza sativa L.) were evaluated during Kharif 2015 to study the nature and extent of correlation among yield and yield attributing characters, number of tillers per plant, plant height, panicle length, number of grains per panicle, 1000-grain weight, days to first flowering, days to 50 per cent flowering, days to maturity, grain yield per plant. In organic environment condition, it was recorded that yield attributing character such as effective tiller number (0.3972) shows significant phenotypic positive correlation coefficient with the grain yield per plant. While grains per panicle (-0.3774) shows negatively significant correlation with the grain yield per plant at phenotypic level. In case of inorganic panicle length (0.5429), days to first flowering (0.4412), thousand grain weight (0.4327) and days to 50% flowering shows phenotypically positive correlation with grain yield per plant. Character association studies revealed that the characters grain yield per plant showed significant positive association with plant height, 1000 grain weight. This indicated that simultaneous selection of all these characters was important for yield improvement.

Keywords: Correlation, Yield, Character, Genotypes

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How to cite this article:

Khirud Panging, Debojit Sarma, Rumjhum Goswami Phukon and Larbeen Teronpi. 2020. Correlation Coefficient Analysis for Yield and its Components in Joha Rice (Oryza sativa L.) Genotypes of Assam in Response to Organic and Inorganic Condition.Int.J.Curr.Microbiol.App.Sci. 9(11): 3057-3062. doi:
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