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International Journal of Current Microbiology and Applied Sciences (IJCMAS)
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Index Copernicus ICI Journals Master List 2018 - IJCMAS--ICV 2018: 95.39 For more details click here
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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.2018.7(9): 97-108
DOI: https://doi.org/10.20546/ijcmas.2018.709.013


Correlation and Path Analysis for Yield and its Component Traits in NPT Core Set of Rice (Oryza sativa L.)
Rachana Bagudam1,2*, K.B. Eswari1, Jyothi Badri2 and P. Raghuveer Rao2
1Department of Genetics and Plant breeding, College of Agriculture, PJTSAU, Hyderabad-030, Telangana, India
2ICAR-Indian Institute of Rice Research, Hyderabad-030, Telangana, India
*Corresponding author
Abstract:

Grain yield in rice is considered as a complex trait, determined by the ultimate expression of its individual component traits. Establishing an association between yield and its component traits plays a vital role in stabilizing the trait ‘overall yield’. Correlation and path analysis were examined in 46 rice genotypes including tropical japonica accessions, indica land races and elite indica cultivars as New plant type (NPT) core set along with checks during kharif 2017. The data was recorded on twelve quantitative traits viz., days to 50% flowering, plant height, number of tillers, number of panicles, panicle length, panicle weight, grain number, test weight, single plant yield, plot yield, biomass and harvest index. Correlation studies revealed highly significant and positive association of single plant yield with days to 50% flowering, tillers per plant, productive tillers per plant and biomass, indicating that these characters are very important for yield improvement and concurrent selection will directly lead to high yield. Path coefficient analysis showed that productive tillers per plant exerted highest positive direct effect followed by panicle length, number of grains per panicle, test weight, panicle weight, harvest index and biomass on single plant yield, indicating that selection for these characters is likely to bring about an overall improvement in grain yield per plant directly. In view of the results obtained, it may be concluded that characters like productive tillers per plant and biomass could be used as a direct selection criteria for higher grain yield.


Keywords: Rice, Correlation, PATH analysis, New plant type, Yield, Yield components
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How to cite this article:

Rachana Bagudam, K.B. Eswari, Jyothi Badri and Raghuveer Rao, P. 2018. Correlation and Path Analysis for Yield and its Component Traits in NPT Core Set of Rice (Oryza sativa L.).Int.J.Curr.Microbiol.App.Sci. 7(9): 97-108. doi: https://doi.org/10.20546/ijcmas.2018.709.013