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International Journal of Applied Agricultural & Horticultural Sciences
  • 26 April, 2024
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Language : English
DOI Prefix : 10.37322
P-ISSN : 0974-0775
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Vol. 8 (6) : November-December 2017 issue
Green Farming Vol. 8 (6) : 1421-1423 ; November-December, 2017
Variability studies in Heliconia genotypes
SANTHOSH N.1*, CHANDRASHEKAR S.Y.2, VIDYA C.3 and GIRISH R.4
Department of Floriculture and Landscape Architecture (FLA), College of Horticulture, Mudigere - 577 132 University of Agricultural and Horticultural Sciences, Shivamogga (Karnataka)
Designation :  
1P.G. Student *(santhunreddy512@gmail.com), 2Assoc. Professor, 3Senior Research Fellow, 4Assistant Professor
Subject : Horticulture (Spices, Ornamental & Plantation Crops, Floriculture and Landscape Architecture etc.)
Paper No. : P-7066
Total Pages : 3
Received : 15 November 2017
Revised accepted : 24 November 2017
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Citation :

SANTHOSH N., CHANDRASHEKAR S.Y., VIDYA C. and GIRISH R. 2017. Variability studies in Heliconia genotypes. Green Farming  Vol. 8 (6) : 1421-1423 ; November-December, 2017

ABSTRACT
The experiment was conducted to study the genetic variability in Heliconia. All the genotypes showed considerable amount of variation in their mean performances with respect to the characters studied, indicates presence of sufficient variability and scope for further selection and breeding superior and desirable genotypes. Phenotypic coefficients of variation (PCV) were higher than genotypic coefficients of variation (GCV) for all the characters studied. Large difference between GCV and PCV were observed in number of shoots per plant (34.97 % and 39.09 %), number of leaves per plant (29.15 % and 31.85 %), spike length (47.97 % and 49.43 %) and spike width (25.06 % and 27.31%), indicating the role of environment in expression of these traits. All characters exhibited high heritability coupled with high genetic advance over per cent mean indicating the predominance of additive components. Thus direct selection helps in improving the characters.
Key words :
Heliconias genotypes, GCV, Genetic variability, Growth & yield attributes, PCV.