CORRELATION AND PATH ANALYSES FOR FRUIT YIELD AND ITS COMPONENT TRAITS IN OKRA [Abelmoschus esculentus L. Moench] GENOTYPES

Journal Title: International Journal of Agriculture Sciences - Year 2017, Vol 9, Issue 13

Abstract

In the present study twenty diverse okra genotypes were used to estimate the correlation and path analysis for fruit yield and its contributing characters. The genotypes were evaluated for the following fifteen characters: plant height (PH), stem diameter (SD), number of nodes on main stem (NNMS), first branching node (FBN), number of branches per plant (NB/P), days taken to first flowering (DFF), first flowering node (FFN), first fruiting node (FFr.N), number of flowers per plant (NF/P), number of fruits per plant (NFr/P), fruit diameter (FD), fruit length (FL), fruit weight (FW), number of seeds per fruit (NS/F) and yield/ha (Y/h). Number of flowers per plant and number of fruits per plant showed highest positive and very high significant correlation with yield per hectare followed by nodes on the main stem and plant height. Plant height and nodes on the main stem showed positive and significant correlation with yield per hectare. Stem diameter showed negative and significant correlation with first branching node and plant height with number of branches per plant and days taken to first flowering. Path coefficient analysis on various yield contributing characters revealed that fruits per plant, fruit length, number of seeds per fruit, number of branches per plant, plant height, fruit weight and number of flowers per plant showed direct positive effect towards yield.

Authors and Affiliations

RAJEEV K. YADAV, M. M. SYAMAL, MANISH KUMAR, P. PANDIYARAJ, KATTULA NAGARAJU, ASHISH KAUSHAL

Keywords

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  • EP ID EP170412
  • DOI -
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How To Cite

RAJEEV K. YADAV, M. M. SYAMAL, MANISH KUMAR, P. PANDIYARAJ, KATTULA NAGARAJU, ASHISH KAUSHAL (2017). CORRELATION AND PATH ANALYSES FOR FRUIT YIELD AND ITS COMPONENT TRAITS IN OKRA [Abelmoschus esculentus L. Moench] GENOTYPES. International Journal of Agriculture Sciences, 9(13), 4063-4067. https://europub.co.uk/articles/-A-170412