2018Indian Journal of HorticultureOpen access

Genetic variability and association of yield with its component traits in Okra

Mahesh Badiger, RK Yadav

Open full text 1 citations

Abstract

Forty four accessions from 6 different wild Abelmoschus species and 4 check cultivars from cultivated species were evaluated during Kharif 2015 to assess the genetic variability and character association. Estimates of genotypic coefficients of variability (GCV) and phenotypic coefficients of variability (PCV) ranged from 6.15–59.14 and 13.98–62.13, respectively. Heritability in broad sense (h2), genetic advance (GA) and genetic advance as percentage of mean (GAM) ranged from 19–98%, 0.40–84.20, 5.58–98%, respectively. Further classification revealed high GCV (>20.00%), heritability (>60.00%) and GAM (>20.00%) for most of the yield components and PDI of BYVMV, except for first flowering node and stem diameter. Path co-efficient analysis revealed high positive direct effect of fruit weight (0.85), number of fruits per plant (0.532), stem diameter (0.088), plant height (0.069) and fruit diameter (0.046) on fruit yield per plant. Therefore, direct selection based on these combinations of traits will help in harnessing their positive direct effects on yield per plant in okra improvement programmes.

About this research paper

What this paper is about

Forty four accessions from 6 different wild Abelmoschus species and 4 check cultivars from cultivated species were evaluated during Kharif 2015 to assess the genetic variability and character association. Estimates of genotypic coefficients of variability (GCV) and phenotypic coefficients of variability (PCV) ranged from 6.15–59.14 and 13.98–62.13, respectively. Heritability in broad sense (h2), genetic advance (GA) and genetic advance as percentage of mean (GAM) ranged from 19–98%, 0.40–84.20, 5.58–98%, respectively. Further classification revealed high GCV (>20.00%), heritability (>60.00%) and GAM (>20.00%) for most of the yield components and PDI of BYVMV, except for first flowering node and stem diameter. Path co-efficient analysis revealed high positive direct effect of fruit weight (0.85), number of fruits per plant (0.532), stem diameter (0.088), plant height (0.069) and fruit diameter (0.046) on fruit yield per plant. Therefore, direct selection based on these combinations of traits will help in harnessing their positive direct effects on yield per plant in okra improvement programmes.

Why it matters

OpenAlex reports 1 citations for this work. Citation counts describe recorded attention and do not establish research quality.

Key contribution

A contribution statement is not available in the OpenAlex record.

Method / approach

Method details are not available in the OpenAlex metadata.

Main findings

Findings are not separately available in the OpenAlex metadata.

Limitations

Limitations are not available in the OpenAlex metadata.

Applications

Application details are not available in the OpenAlex metadata.

Available abstract

Forty four accessions from 6 different wild Abelmoschus species and 4 check cultivars from cultivated species were evaluated during Kharif 2015 to assess the genetic variability and character association. Estimates of genotypic coefficients of variability (GCV) and phenotypic coefficients of variability (PCV) ranged from 6.15–59.14 and 13.98–62.13, respectively. Heritability in broad sense (h2), genetic advance (GA) and genetic advance as percentage of mean (GAM) ranged from 19–98%, 0.40–84.20, 5.58–98%, respectively. Further classification revealed high GCV (>20.00%), heritability (>60.00%) and GAM (>20.00%) for most of the yield components and PDI of BYVMV, except for first flowering node and stem diameter. Path co-efficient analysis revealed high positive direct effect of fruit weight (0.85), number of fruits per plant (0.532), stem diameter (0.088), plant height (0.069) and fruit diameter (0.046) on fruit yield per plant. Therefore, direct selection based on these combinations of traits will help in harnessing their positive direct effects on yield per plant in okra improvement programmes.

Key concepts: Forensic science, Yield (engineering), Component (thermodynamics), Biology, Association (psychology), Veterinary medicine, Horticulture, Biotechnology

Related papers

Back to paper searchBrowse research topicsOriginal source
Genetic variability and association of yield with its component traits in Okra — Research Paper | ScholarLens