Genetic Variability and Path Analysis for Yield and Associated Traits in Linseed Genotypes

Pramod Kumar Prajapati *

JNKVV-College of Agriculture, Tikamgarh (MP), India.

Shiv Ratan

JNKVV-College of Agriculture, Tikamgarh (MP), India.

Yogendra Singh

JNKVV-College of Agriculture, Jabalpur (MP), India.

D. K. Pyasi

JNKVV- Regional Agricultural Research Station, Sagar, MP, India.

Rakesh Kumar

Department of Genetics and Plant Breeding, C. S. Azad University of Agriculture and Technology Kanpur, India.

Shobharam Thakur

JNKVV-College of Agriculture, Tikamgarh (MP), India.

*Author to whom correspondence should be addressed.


Abstract

An experiment was conducted to study the nature and magnitude of genetic variability with yield and related traits and characters association in linseed. Twelve diverse linseed (Linum usitatissimum L.) genotypes were evaluated in randomized block design withthree replications duringrabiseason 2020-21 in the experiment field of AICRP on oilseeds in the college of agriculture Tikamgarh. The higher phenotypic coefficient values than corresponding genotypic coefficient values depicted influence of environment in the expression of traits. The data were recorded for days to flowering initiation, days to 50 % flowering, plant stand per hectare, plant height, primary branches per plant, capsules per plant, number of seeds per capsule, biological yield per plant, days to maturity,1000 seed weight, yield per plant, yield per ha., protein and oil content.High to moderate magnitude of PCV and GCV were observed for the traits viz., 1000 seed weight, yield per plant, plant height, biological yield per plant, days to flower initiation indicating the presence of significant variability in the existing collection and in path coefficient analysis revealed the positive direct effect at both genotypic and phenotypic levels for the characters for days to 50% flower, plant height, number of capsule per plant, 1000 seed weight and primary branches per plant respectively.

Keywords: GCV, PCV, path coefficient analysis, direct effect, indirect effect


How to Cite

Prajapati, Pramod Kumar, Shiv Ratan, Yogendra Singh, D. K. Pyasi, Rakesh Kumar, and Shobharam Thakur. 2022. “Genetic Variability and Path Analysis for Yield and Associated Traits in Linseed Genotypes”. International Journal of Plant & Soil Science 34 (24):685-91. https://doi.org/10.9734/ijpss/2022/v34i242690.