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Vol. 11, Issue 2 (2022)

Correlation and path coefficient analysis among yield and yield contributing traits in Indian mustard (Brassica juncea L.)

Author(s):
K Lavanya, Dr. T Srikanth and Dr. D Padmaja
Abstract:
An investigation was undertaken with fifty mustard genotypes to study the correlation and path coefficient analysis of twelve yield contributing characters. Correlation analysis revealed that seed yield per plant is positively and significantly correlated with harvest index followed by number of secondary branches per plant and number of siliquae per plant at genotypic level. Path coefficient analysis revealed that days to maturity, number of secondary branches per plant, number of siliquae per plant, siliqua length, 1000 seed weight, harvest index and oil content had direct positive effect on seed yield per plant. Whereas, days to 50% flowering, plant height, number of primary branches per plant and number of seed per siliqua had direct negative effects on seed yield per plant both at genotypic and phenotypic levels. Based on the results it has been concluded that harvest index, number of secondary branches per plant and number of siliquae per plant exerted high correlation and direct influence on seed yield per plant. These traits may be considered for selection and to improve the yield of mustard genotypes.
Pages: 2926-2928  |  405 Views  186 Downloads


The Pharma Innovation Journal
How to cite this article:
K Lavanya, Dr. T Srikanth, Dr. D Padmaja. Correlation and path coefficient analysis among yield and yield contributing traits in Indian mustard (Brassica juncea L.). Pharma Innovation 2022;11(2):2926-2928.

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