UGC Approved Journal no 63975(19)

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Published in:

Volume 5 Issue 8
August-2018
eISSN: 2349-5162

UGC and ISSN approved 7.95 impact factor UGC Approved Journal no 63975

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Published Paper ID:
JETIR1809A79


Registration ID:
403514

Page Number

1193-1197

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Title

CORRELATION AND PATH ANALYSIS IN OKRA (Abelmoschus esculentus (L.) Moench)

Abstract

The present investigation was done to assess the correlation coefficient and path analysis among twenty four elite okra genotypes using nine quantitative parameters. Analysis of variance confirmed the wide range of variability among the genotypes taken for study. Positive and significant correlations were recorded for grain yield with plant with number of fruits per plant, fruit length and fruit girth at both phenotypic and genotypic levels. The result obtained from path analysis showed that, number of fruits per plant followed by fruit weight had highest magni tude of direct effect on grain yield per plant.

Key Words

correlation and path, okra genotypes, coefficient values, fruit yield

Cite This Article

"CORRELATION AND PATH ANALYSIS IN OKRA (Abelmoschus esculentus (L.) Moench)", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.5, Issue 8, page no.1193-1197, August-2018, Available :http://www.jetir.org/papers/JETIR1809A79.pdf

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2349-5162 | Impact Factor 7.95 Calculate by Google Scholar

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 7.95 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Cite This Article

"CORRELATION AND PATH ANALYSIS IN OKRA (Abelmoschus esculentus (L.) Moench)", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.5, Issue 8, page no. pp1193-1197, August-2018, Available at : http://www.jetir.org/papers/JETIR1809A79.pdf

Publication Details

Published Paper ID: JETIR1809A79
Registration ID: 403514
Published In: Volume 5 | Issue 8 | Year August-2018
DOI (Digital Object Identifier):
Page No: 1193-1197
Country: -, -, India .
Area: Engineering
ISSN Number: 2349-5162
Publisher: IJ Publication


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