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International Journal of Current Microbiology and Applied Sciences (IJCMAS)
IJCMAS is now DOI (CrossRef) registered Research Journal. The DOIs are assigned to all published IJCMAS Articles.
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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 2018: 95.39
Index Copernicus ICI Journals Master List 2018 - IJCMAS--ICV 2018: 95.39
For more details click here

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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.2017.6(11): 2360-2367
DOI: https://doi.org/10.20546/ijcmas.2017.611.279


Character Association and Path Analysis Studies for Yield and its Component Characters in Rice (Oryza sativa L.)
K. Sudeepthi*, D.P.B. Jyothula, Y. Suneetha and V. Srinivasa Rao
Department of Genetics and Plant Breeding, ANGRAU, Bapatla- 522101, Andhra Pradesh, India
*Corresponding author
Abstract:

The present investigation was carried out in rice to measure the character association and direct and indirect effects of component characters on yield using 33 genotypes. The experiment was laid out in a randomized complete block design with two replications at the Agricultural College Farm Bapatla during kharif 2015. The association studies revealed that the genotypic correlations were, in general higher than the phenotypic correlations and thus suggested that the observed relationships among the characters were due to genetic factors. Grain yield per plant exhibited significant positive association with days to 50% flowering, days to maturity, plant height, number of productive tillers per plant and number of filled grains per panicle and non-significant positive association with panicle length and test weight. Path analysis studies revealed that improvement of grain yield per plant is possible through manifestation of plant height, number of productive tillers per plant and number of filled grains per panicle. Therefore, direct selection for any of the character would be effective for yield improvement in rice with simultaneous improvement of rest of the character.


Keywords: Character association, Path analysis, Rice.
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How to cite this article:

Sudeepthi, K., D.P.B. Jyothula, Y. Suneetha and Srinivasa Rao, V. 2017. Character Association and Path Analysis Studies for Yield and its Component Characters in Rice (Oryza sativa L.).Int.J.Curr.Microbiol.App.Sci. 6(11): 2360-2367. doi: https://doi.org/10.20546/ijcmas.2017.611.279