Follow
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.
Index Copernicus ICI Journals Master List 2019 - IJCMAS--ICV 2019: 96.39 For more details click here
National Academy of Agricultural Sciences (NAAS) : NAAS Score: *5.38 (2020) [Effective from January 1, 2020]For more details click here

Login as a Reviewer

Indexed in



National Academy of Agricultural Sciences (NAAS)
NAAS Score: *5.38 (2020)
[Effective from January 1, 2020]
For more details click here

ICV 2019: 96.39
Index Copernicus ICI Journals Master List 2019 - IJCMAS--ICV 2019: 96.39
For more details click here

See Guidelines to Authors
Current Issues
Download Publication Certificate

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.2022.11(1): 361-367
DOI: https://doi.org/10.20546/ijcmas.2022.1101.043


Estimation of Association among Yield and Yield Attributing Traits of Maize (Zea mays L.)
Rumit Patel1*, Dipak A. Patel2, Arna Das1 and Tejaskumar Borkhatariya1
1Department of Genetics and Plant Breeding, B. A. College of Agriculture,
Anand Agricultural University, Anand-388 110, India
2Department of Agricultural Biotechnology, Centre of Excellence in Biotechnology,
Anand Agricultural University, Anand-388 110, India
*Corresponding author
Abstract:

In the present investigation, phenotypic and genotypic correlation coefficients were estimated among 19 characters of 51 maize genotypes, to find out the association between grain yield and its contributing characters. Grain yield per plant significantly and positively correlated with plant height, ear height, number of kernels per row, number of kernels per ear, shelling percentage and test weight at genotypic and phenotypic basis. Observable correlations among different traits was confirmed through phenotypic correlation, actual correlation could be known through genotypic correlation only, which eliminates environmental influence. Genotypic correlation permits prediction of correlated response and evaluation of relative influence of one character on other. Genotypic correlation in particular is helpful in construction of selection indices.


Keywords: Maize, Correlation, Genotype, Carotene, Protein
Download this article as Download

How to cite this article:

Rumit Patel, Dipak A. Patel, Arna Das and Tejaskumar Borkhatariya. 2022. Estimation of Association among Yield and Yield Attributing Traits of Maize (Zea mays L.).Int.J.Curr.Microbiol.App.Sci. 11(1): 361-367. doi: https://doi.org/10.20546/ijcmas.2022.1101.043