Current Horticulture

Open Access
  • Year: 2015
  • Volume: 3
  • Issue: 1

Character association and path coefficient analysis among quantitative traits in China aster (Callistephus chinensis)

  • Author:
  • Gayatri Khangjarakpam1, Rajiv Kumar2, G K Seetharamu3, T Manjunatha Rao4, M V Dhananjaya5, R Venugopalan6, K Padmini7
  • Total Page Count: 6
  • DOI:
  • Page Number: 35 to 40

1Ph. D. Scholar, Department of Floriculture, Medicinal and Aromatic Plants, Uttar Banga Krishi Vishwavidyalaya, West Bengal

Indian Institute of Horticultural Research, Hessaraghatta Lake Post, Bengaluru, 560 089, Karnataka

2Senior Scientist (Horticulture), GKVK Campus, University of Horticultural Sciences, Bagalkot

3Associate Professor (Horticulture), GKVK Campus, University of Horticultural Sciences, Bagalkot

4Principal Scientist (Horticulture) & Head, IIHR, Bengaluru

5Principal Scientist (Plant Breeding), Division of Ornamental Crops, IIHR, Bengaluru

6Principal Scientist (Statistics), Section of Economics and Statistics, IIHR, Bengaluru

7Senior Scientist (Horticulture), Section of Seed Science and Technology, IIHR, Bengaluru

Abstract

Twenty genotypes of China aster [Callistephus chinensis (L.) Nees] were evaluated for 12 quantitative traits to study the character association and path coefficient analysis in a randomized complete block design with three replications during 2012–13. Analysis of variance showed significant differences among genotypes for all the characters. In correlation studies, number and weight of flowers/plant were significant and positively correlated with plant height, number of branches/plant, number of leaves/plant and flower stalk length. Path coefficient analysis was carried out using correlation coefficients to know the yield-contributing traits having true associations with flower yield/plant. In path coefficient analysis, days to 50% flowering recorded maximum positive direct effect on weight of flowers/plant, followed by flower stalk length, flowering duration, number of branches/plant, plant height and number of flowers/plant, revealing that indirect selection for these traits would be effective in improving flower yield/plant. Days to 50% flowering showed highest positive indirect effect on yield of flowers, followed by flower stalk length, plant height, flowering duration, number of branches and flowers/plant. There was a direct positive influence on weight of flowers/plant from duration of flowering, days taken to 50% flowering, flower diameter and number of ray florets/flower.

Keywords

China aster, Character association, Correlation, Path coefficient analysis