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National Academy of Agricultural Sciences (NAAS)
NAAS Score: *5.38 (2020)
[Effective from January 1, 2020]
For more details click here
ICV 2022: 95.28
Index Copernicus ICI Journals Master List 2022 - IJCMAS--ICV 2022: 95.28
For more details click here
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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
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Editor-in-chief: Dr.M.Prakash
Index Copernicus ICV 2018: 95.39
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Int.J.Curr.Microbiol.App.Sci.2017.6(7): 2425-2430
DOI: https://doi.org/10.20546/ijcmas.2017.607.287


Correlation Coefficient Analysis for Yield and its Components in Rice (Oryza sativa L.) Genotypes
B. Kalyan1*, K.V. Radha Krishna1 and L.V. Subba Rao2
1Department of Genetics and Plant Breeding, College of Agriculture, Rajendranagar, PJTSAU, Hyderabad-500030, Telangana, India
3Crop Improvement Section, Indian Institute of Rice Research, Rajendranagar,Hyderabad-500030, Telangana, India
*Corresponding author
Abstract:

Seventy genotypes of rice (Oryza sativa L.) were evaluated during Kharif 2014 to study the nature and extent of correlation among yield and yield attributing characters, number of tillers per plant, number of effective tillers per plant, plant height, panicle length, number of filled grains per panicle, 1000-grain weight, days to 50 per cent flowering, days to maturity, grain yield per plant. Character association studies revealed that the characters grain yield per plant showed significant positive association with plant height, number of tillers per plant, number of productive tillers per plant, number of filled grains per panicle and 1000 grain weight. This indicated that simultaneous selection of all these characters was important for yield improvement.


Keywords: Rice, Yield, Yield components, Correlation.

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How to cite this article:

Kalyan, B., K.V. Radha Krishna and Subba Rao, L.V. 2017. Correlation Coefficient Analysis for Yield and its Components in Rice (Oryza sativa L.) Genotypes.Int.J.Curr.Microbiol.App.Sci. 6(7): 2425-2430. doi: https://doi.org/10.20546/ijcmas.2017.607.287
Copyright: This is an Open Access article distributed under the terms of the Creative Commons Attribution-NonCommercial-ShareAlike license.

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