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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 2022: 95.28
Index Copernicus ICI Journals Master List 2022 - IJCMAS--ICV 2022: 95.28
For more details click here
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Original Research Articles                      Volume : 10, Issue:10, October, 2021
PRINT ISSN : 2319-7692
Online ISSN : 2319-7706
Issues : 12 per year
Publisher : Excellent Publishers
Email : editorijcmas@gmail.com /
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Editor-in-chief: Dr.M.Prakash
Index Copernicus ICV 2018: 95.39
NAAS RATING 2020: 5.38
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Int.J.Curr.Microbiol.App.Sci.2021.10(10): 302-306
DOI: https://doi.org/10.20546/ijcmas.2021.1010.037


Development of Polyclonal Antibody-Based on Immunological Formats for Pathogen Detection in Groundnut Leaf Tissues
K. Chitra1*, K. Dhananalakshmi2, N. Indra3, P. Mareeshwari3,Ragupathi3 and V. Ambethgar1
1Tamil Nadu Rice Research Institute, Aduthurai, India
2KVK, Vamban, India
3Department of Plant Pathology, Tamil Nadu Agricultural University, Coimbatore, India
*Corresponding author
Abstract:

Immunological methods are highly useful to detect plant pathogens before symptom excrescence. Among the various immuno assay Enzyme Linked Immuno Sorbant Assay (ELISA) are well suited for detecting viral and fungal pathogens. The present investigation for the specific and early detection of groundnut leaf blight pathogen was standardized using polyclonal antiserum, the optimum dilution of antigen and antisera (antobody) was 1:1000 and 1:100 respectively with the titre value of 1:10. leaf blight infected groundnut plants could be detected 6 days before symptom expression. Prediction of infection well in advance help us to take remedial measures in time.


Keywords: Detection of fungal pathogen-ELISA-groundnut leaf blight pathogen

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How to cite this article:

Chitra, K., K. Dhananalakshmi, N. Indra, P. Mareeshwari, N. Ragupathi and Ambethgar, V.  2021. Development of Polyclonal Antibody-Based on Immunological Formats for Pathogen Detection in Groundnut Leaf Tissues.Int.J.Curr.Microbiol.App.Sci. 10(10): 302-306. doi: https://doi.org/10.20546/ijcmas.2021.1010.037
Copyright: This is an Open Access article distributed under the terms of the Creative Commons Attribution-NonCommercial-ShareAlike license.

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