2019International Journal of Chemical StudiesOpen access

Estimation of correlation coefficient and path coefficient analysis for yield and yield components in okra [Abelmoschus esculentus (L.) Moench]

Jeetendra Chavan, N. Seenivasan, P. Saidaiah, N. Sivaraj

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Abstract

The present investigation was undertaken to estimate the correlation and path coefficient analysis for yield and its components in okra [Abelmoschus esculentus (L.) Moench]. Twenty six genotypes were sown in a randomized block design with three replications during kharif, 2018 in PG research block at College of Horticulture, Rajendranagar, Hyderabad. Fruit yield per plant (g) revealed positive and significant correlation association with plant height, internodal length, fruit length, fruit weight, number of fruits per plant, fruit yield per plot, fruit yield per hectare and crude fibre content. Path analysis studies revealed that the magnitude of direct effect were higher for plant height, number of branches per plant, internodal length, days to first harvest, average fruit weight, number of fruits per plant, number of nodes per plant, total phenolic content and total chlorophyll content on fruit yield per plant.

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The present investigation was undertaken to estimate the correlation and path coefficient analysis for yield and its components in okra [Abelmoschus esculentus (L.) Moench]. Twenty six genotypes were sown in a randomized block design with three replications during kharif, 2018 in PG research block at College of Horticulture, Rajendranagar, Hyderabad. Fruit yield per plant (g) revealed positive and significant correlation association with plant height, internodal length, fruit length, fruit weight, number of fruits per plant, fruit yield per plot, fruit yield per hectare and crude fibre content. Path analysis studies revealed that the magnitude of direct effect were higher for plant height, number of branches per plant, internodal length, days to first harvest, average fruit weight, number of fruits per plant, number of nodes per plant, total phenolic content and total chlorophyll content on fruit yield per plant.

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Available abstract

The present investigation was undertaken to estimate the correlation and path coefficient analysis for yield and its components in okra [Abelmoschus esculentus (L.) Moench]. Twenty six genotypes were sown in a randomized block design with three replications during kharif, 2018 in PG research block at College of Horticulture, Rajendranagar, Hyderabad. Fruit yield per plant (g) revealed positive and significant correlation association with plant height, internodal length, fruit length, fruit weight, number of fruits per plant, fruit yield per plot, fruit yield per hectare and crude fibre content. Path analysis studies revealed that the magnitude of direct effect were higher for plant height, number of branches per plant, internodal length, days to first harvest, average fruit weight, number of fruits per plant, number of nodes per plant, total phenolic content and total chlorophyll content on fruit yield per plant.

Key concepts: Abelmoschus, Kharif crop, Path coefficient, Randomized block design, Hectare, Horticulture, Yield (engineering), Correlation coefficient

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Estimation of correlation coefficient and path coefficient analysis for yield and yield components in okra [Abelmoschus esculentus (L.) Moench] — Research Paper | ScholarLens