African Journal of
Biotechnology

  • Abbreviation: Afr. J. Biotechnol.
  • Language: English
  • ISSN: 1684-5315
  • DOI: 10.5897/AJB
  • Start Year: 2002
  • Published Articles: 12487

Full Length Research Paper

Genetic parameters and path analysis of yield and its components in okra at different sowing dates in the Gangetic plains of eastern India

Sibsankar Das1*, Arup Chattopadhyay2, Sankhendu Bikash Chattopadhyay1, Subrata Dutta2 and Pranab Hazra1
1Department of Vegetable Crops, Faculty of Horticulture, Bidhan Chandra Krishi Viswavidyalaya, Mohanpur-741252, Nadia, West Bengal, India. 2All India Coordinated Research Project on Vegetable Crops, Directorate of Research, Bidhan Chandra Krishi Viswavidyalaya, Kalyani-741235, Nadia, West Bengal, India.
Email: [email protected]

  •  Accepted: 21 May 2012
  •  Published: 27 November 2012

Abstract

There is continuing need to identify traits that can facilitate selection of productive progenies. For this, 18 genotypes of okra [Abelmoschus esculentus (L.) Moench] were evaluated for the extent of genetic variability, heritability, correlation and path analysis among various morphological, reproductive and nutritional characters related to fruit yield over two growing seasons in the Gangetic plains of eastern India.Phenotypic co-efficient of variation (PCV) agreed closely with the genotypic co-efficient of variation (GCV) but the magnitude of PCV was higher than GCV for almost all the characters studied during both seasons which reflect the influence of environment on the expression of traits. High PCV and GCV values were shown by fruit yield per plant, numbers of fruit per plant and plant height at flowering during both seasons. The remaining traits recorded moderate to low PCV and GCV estimates, indicating that selection for these characters will be less effective. All characters studied exhibited moderate to high heritability. However, pooled genetic advance (GA) expressed as percentage of mean was high for fruit yield per plant, numbers of fruit per plant, plant height at flowering and fruit weight. Characters showing moderate to high genetic gain also showed high heritability, indicating that most genetic variations in these characters were due to additive gene effects. From  the correlation and path coefficient analyses, it revealed that the top priority should be given to selection based on numbers of fruit per plant and fruit weight for yield improvement and could be considered while formulating selection indices in the improvement of okra.

Key words: Okra, genetic variability, heritability, correlation, path analysis