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International Journal of Current Microbiology and Applied Sciences (IJCMAS)
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Original Research Articles                      Volume : 6, Issue:8, August, 2017

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(8): 597-605
DOI: https://doi.org/10.20546/ijcmas.2017.608.077


Evaluation of Coriander (Coriandrum sativum L.) Genotypes for Growth and Seed Yield Attributes
Akshay Jain*, V.P. Pandey, V.B. Singh, Manvendra Singh and Sriom
Department of Vegetable Science Narendra Deva University of Agriculture and Technology, Kumarganj, Faizabad-224229 (U.P.), India
*Corresponding author
Abstract:

The present study conducted with objective to find out the promising genotypes for seed yield. The study was comprised 73 genotypes (including three checks) in augmented design during Rabi seasons of 2014-15 and 2015-16. The observations were recorded on growth attributes viz., days to 50% flowering, branches/plant, plant height and yield attributes viz., fruiting node per plant, uumbels per plant, umbellets per umbel, fruits per umbellets, fruits per umbel, umbel diameter(cm), plant height (cm), test weight (g) and yield per plant (g). The study revealed that the genotypes NDCor-63 followed by NDCor-33, NDCor-53, NDCor-12 and NDCor-46 produced highest yield per plant over the best check NDCor-2 during 2014-15. The genotypes NDCor-39 followed by NDCor-53, NDCor-67, NDCor-63 and NDCor-33 produced highest seed yield per plant over the best check NDCor-2 (2015-16).


Keywords: Coriander, Seed yield, Genotypes.

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How to cite this article:

Akshay Jain, V. P. Pandey, V. B. Singh, Manvendra Singh and Sriom. 2017. Evaluation of Coriander (Coriandrum Sativum L.) Genotypes for Growth and Seed Yield Attributes.Int.J.Curr.Microbiol.App.Sci. 6(8): 597-605. doi: https://doi.org/10.20546/ijcmas.2017.608.077
Copyright: This is an Open Access article distributed under the terms of the Creative Commons Attribution-NonCommercial-ShareAlike license.

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