Genetic approach for yield-related traits in Indian mustard (Brassica juncea L.
Keywords:
Correlation coefficient, Indian mustard, path coefficient, seed yieldAbstract
India ranks fourth globally in vegetable oil production, with Indian mustard (Brassica juncea L.) as the primary oilseed
crop. Despite extensive cultivation, the country faces challenges in meeting rising demand for edible oils, emphasizing
the need for improved mustard productivity. This study explores the genetic relationships between seed yield and
associated traits using correlation and path coefficient analysis, conducted during the rabi season of 2022-23 at SKN
College of Agriculture, Rajasthan, evaluating fifty-five advanced mustard genotypes. Genotypic correlation analysis
revealed that several traits, including relative water content, proline content, siliqua per plant, seeds per siliqua, siliqua
length, 1000-seed weight, membrane stability index, primary branches per plant, and oil content, exhibited positive
correlations with seed yield per plant. Furthermore, path coefficient analysis indicated that relative water content had the
highest positive direct effect on seed yield, followed by days to maturity, seeds per siliqua, siliqua length, oil content,
proline content and days to 50% flowering. These findings offer crucial insights for refining selection strategies, aimed
at developing high-yielding and stress-tolerant mustard varieties to enhance overall productivity