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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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Original Research Articles

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.2020.9(8): 168-174
DOI: https://doi.org/10.20546/ijcmas.2020.908.018


Correlation and Path Coefficient Studies for Kernel Yield and Component Traits in Maize
Mallikarjuna1*, V. Roja1, I. Sudhir Kumar2 and T. Srinivas1
1Department of Genetics and Plant Breeding, Agricultural College, Bapatla 522 101,
Guntur District, Andhra Pradesh, India
2Agricultural Research Station, Peddapuram, East Godavari District, Andhra Pradesh, India
*Corresponding author
Abstract:

Correlation and path coefficient analysis for kernel yield and yield components was under taken in 49 maize inbred lines using simple lattice design with two replications during kharif, 2018 at Agricultural Research Station, Peddapuram, East Godavari district, Andhra Pradesh in order to understand the relationship between kernel yield and its component traits. The studies revealed significant and positive association of kernel yield plant-1 with cob length, cob girth and cob yield plant-1 at both phenotypic and genotypic levels. The path analysis revealed high positive and direct effect of cob yield plant-1 for kernel yield plant-1 in addition to strong positive association with kernel yield per plant indicating its true relationship with kernel yield plant-1.Considering the nature and quantum of trait associations and their direct and indirect effects, cob yield plant-1 is identified as important selection criteria for effecting kernel yield improvement in maize.


Keywords: Maize, Correlation, Path Analysis
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How to cite this article:

Mallikarjuna, S., V. Roja, I. Sudhir Kumar and Srinivas, T. 2020. Correlation and Path Coefficient Studies for Kernel Yield and Component Traits in Maize.Int.J.Curr.Microbiol.App.Sci. 9(8): 168-174. doi: https://doi.org/10.20546/ijcmas.2020.908.018