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Year : 2023, Volume : 18, Issue : 1
First page : ( 80) Last page : ( 85)
Print ISSN : 2229-628X. Online ISSN : 2582-2683. Published online : 2023 January 27.
Article DOI : 10.5958/2582-2683.2023.00014.X

Evaluation of variability, heritability and genetic advance for yield and yield components in linseed (Linum usitatissimum L.) genotypes

Toor A.K.1,*, Singh A.2

1Regional Research Station, Gurdaspur - 143 521

2Punjab Agricultural University, Ludhiana - 141027, Punjab, India

*E-mail: arvinderktoor2@gmail.com

Online published on 27 December, 2023.

Received:  24  March,  2022; Accepted:  18  November,  2022.

Abstract

Eighteen genotypes of linseed (Linum usitatissimum L.) were evaluated for genetic variability, heritability and genetic advance for yield and yield components. Its yield can be increased with the knowledge of the relationship among yield components is essential for the formulation of breeding programmes. Both phenotypic and genotypic coefficients of variation (PCV and GCV) were highest for seed yield per acre followed by the number of capsules per plant (41.57 and 40.28, respectively). On the other hand, parameters such as plant stand per plot and oil content showed a minimal phenotypic and genotypic coefficient of variation. Estimates of heritability were highest for days to maturity (98.54%), days to 50% flowering (97.44%) and yield per acre (93.86%). It was the minimum for plant stand per acre and oil content. Similarly, the genetic advance was highest for yield per acre and lowest for oil content percentage. The highest heritability for the traits like days to maturity, days to 50% flowering and yield per acre give a positive response to the selection. Traits having high heritability and high genetic advance are supposed to be under the control of additive genes; hence, these can be improved by selection based on phenotypic performance. Invariably higher PCV as compared to GCV indicated the role of environment in the expression of the traits.

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Keywords

Variability, Phenotypic coefficient variation, Genotypic coefficient of variation, Heritability, Genetic advance.

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