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Correlation and Path Analysis in Indian Mustard (Brassica juncea L.) in Agro-climatic Conditions of Punjab

SUDIP KHAN, NIDHI DUBEY*, HARSHAL AVINASHE, SIPRA PAL AND J. PRANAY REDDY
Department of Genetics and Plant Breeding, Lovely Professional University, Phagwara-144 411 (Punjab),
India
*(e-mail : drnidhi355@gmail.com; Mobile : 9056787046)
(Received : December 20, 2018; Accepted : February 18, 2019)

ABSTRACT

A study was conducted to estimate correlation and path analysis of 13 quantitative traits in 10 Indian mustard (Brassica juncea L.) lines. The experiment material was evaluated in a randomized block design with three replications. Analysis of variance for all the characters was found highly significant. The estimates of PCV in all the traits studied were greater than those of the GCV showing close proximity between PCV and GCV values for most of the characters indicating less influence of environment on the expression of the characters under study. Most of the characters showed high heritability values. High heritability coupled with high genetic advance as per cent of mean was recorded for seed yield per plant, seeds per siliqua, secondary branches per plant, siliqua per plant and 1000-seed weight indicating the scope of improvement through direct selection. Correlation analysis revealed that siliqua per plant, biological yield per plant, secondary branches per plant and harvest index were positively and significantly associated with seed yield per plant. Path analysis revealed that biological yield per plant and harvest index imposed high positive direct effect on seed yield per plant. Hence, these characters should be given more weightage in selection programme of high yielding Indian mustard genotypes.
Key words : Indian mustard, GCV, PCV, correlation coefficient, path analysis