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International Journal of Current Microbiology and Applied Sciences (IJCMAS)
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Original Research Articles                      Volume : 7, Issue:2, February, 2018

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(2): 2494-2505
DOI: https://doi.org/10.20546/ijcmas.2018.702.304


Estimating Phenotypic and Genotypic Path Coefficient, an Application on Wheat (Triticum aestivum L.) Genotypes
Sahar A. Farag1, S.K.A. Ismail2 and Sawsan A. El-Ssadi3
1Central Laboratory for Dresden and Statistical Analysis Research, of Agriculture, Research Center -Giza-Egypt
2Department of Agronomy, Faculty of Agriculture, Fayoum University, Egypt
3Department of Agronomy, Faculty of Agriculture, Cairo University, Egypt
*Corresponding author
Abstract:

Two field experiments were carried out at agriculture research stations of Agriculture Research Center (ARC). In 2014/2015 -2015/2016 seasons, the six parental genotypes were planted and the six parents were planted in a field experiment using the randomized complete block design with three replications. With the trials conducted, the correlation coefficients and path analysis were calculated between grain yield and yield components of wheat genotypes. The results revealed that that Gimaza-7, 10 and Misr1 cultivars were the best yielding among the studied cultivars and the Kafr Elhamam location was the top yielding than the other location (Itay-Elbarood). Positive and significant genotypic and phenotypic correlation was found between yield and No. of tillers per plant (NTP), No. of spikelets/ spike (NSS) and No. of spike /plant. Also, results indicated that, based on path analysis, it could be concluded that the most important sources of variation in grain yield. Genotypic and phenotypic coefficient of variation was high for No. of spike per plant and No. of tillers/plant, suggested that these yield components may be a good selection criteria to improve yield of wheat genotypes.


Keywords: ANOVA, Path analysis, Genotypic path, Phenotypic path, Wheat

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How to cite this article:

Sahar A. Farag, S.K.A. Ismail and Sawsan A. El-Ssadi. 2018. Estmating Phenotypic and Genotypic Path Coefficient, an Application on Wheat (Triticum aestivum L.) Genotypes.Int.J.Curr.Microbiol.App.Sci. 7(2): 2494-2505. doi: https://doi.org/10.20546/ijcmas.2018.702.304
Copyright: This is an Open Access article distributed under the terms of the Creative Commons Attribution-NonCommercial-ShareAlike license.

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