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Journal of Pharmacognosy and Phytochemistry

Journal of Pharmacognosy and Phytochemistry

Vol. 12, Issue 1 (2023)

Inter-relationship and path coefficient analysis among quantitative traits in Indian mustard (Brassica juncea L. Czern and Cos)

Author(s):

K Monika Evangelin, Ajay Pal Yadav, Blessy Olive and Dr. G Lavanya

Abstract:

Present investigation was carried out with ten genotypes of Indian mustard to study the inter-relationship and path coefficient analysis among eleven quantitative traits in Indian Mustard. These ten genotypes were evaluated in randomized block design with three replications during Rabi, 2021-2022. Inter-relationship analysis among the quantitative characters revealed that the genotypic correlation coefficient in most cases were higher than their phenotypic correlation coefficient indicating the association was largely due to genetic reason. At both genotypical levels, the significant positive correlation was observed for number of siliqua/plant with seed yield/plant and the non- significant positive correlation was observed for days to maturity, 1000 seed weight and number of secondary branches/plant with seed yield/plant. Path coefficient analysis revealed that the high positive direct effect by number of secondary branches/plant, number of seeds/siliqua, number of siliqua/plant and plant height on seed yield/plant and high negative direct effect by harvest index, number of primary branches/plant and days to maturity. These traits can be used in selection criteria for crop improvement programme in Indian Mustard.

Pages: 562-565  |  434 Views  170 Downloads


Journal of Pharmacognosy and Phytochemistry Journal of Pharmacognosy and Phytochemistry
How to cite this article:
K Monika Evangelin, Ajay Pal Yadav, Blessy Olive and Dr. G Lavanya. Inter-relationship and path coefficient analysis among quantitative traits in Indian mustard (Brassica juncea L. Czern and Cos). J Pharmacogn Phytochem 2023;12(1):562-565.

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