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International Journal of Current Microbiology and Applied Sciences (IJCMAS)
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Original Research Articles                      Volume : 10, Issue:7, July, 2021

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.2021.10(7): 681-688
DOI: https://doi.org/10.20546/ijcmas.2021.1007.074


Genetic Architecture for Yield and Contributing Components in Rice (Oryza sativa L.) under Salt Affected Soil
Raushan Lal1*, O. P. Verma2, Manoj Kumar3, Neeta Tripathi2 and A. K. Sharan4
1Department of Agriculture, Kamla Nehru Institute of Physical and Social Sciences, Sultanpur, Uttar Pradesh, India
2Department of Genetics and Plant Breeding, Narendra Deva University of Agriculture and Technology, Kumarganj, Ayodhya, Uttar Pradesh, India
3Central Potato research Institute, Shimla, Himachal Pardesh, India
4Department of Botany, Nalanda Open University, Patna, Bihar, India
*Corresponding author
Abstract:

The experiment was conducted at GPB research Farm of N.D University of Agriculture and Technology, Kumarganj, Ayodhya. Set of two experiment carried over in two season of year 2014 and 2015 respectively. Thirty genotypes and two checks were evaluated in experiment number one by RBD fashion and three replications while in experiment number two crossing occurred among twenty lines and three testers. The data analysed by ANOVA to analysis of variance for Randomized block design, coefficient of variation, heritability and genetic advance, correlation coefficients, path coefficients analysis Krishnamurthy and Kumar, combining ability analysis and heterosis over better-parent and standard variety. In general, PVC were higher than the GCV for all characters under the salt affected indicates influence of environment. In the current investigation path analysis identified biological yield per plant and harvest index as most important direct yield contributing traits in both the experiments. SCA variances were higher than GCA variances for all the characters indicating presence of non-additive gene action.


Keywords: Check, RBD, heritability, path analysis

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How to cite this article:

Raushan Lal, O. P. Verma, Manoj Kumar, Neeta Tripathi and Sharan, A. K. 2021. Genetic Architecture for Yield and Contributing Components in Rice (Oryza sativa L.) under Salt Affected Soil.Int.J.Curr.Microbiol.App.Sci. 10(7): 681-688. doi: https://doi.org/10.20546/ijcmas.2021.1007.074
Copyright: This is an Open Access article distributed under the terms of the Creative Commons Attribution-NonCommercial-ShareAlike license.

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