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Vol. 11, Issue 8 (2022)

Assessment of correlation and path coefficients for yield and its attributing traits in Indian mustard [Brassica juncea (L.) Czern & Coss.]

Author(s):
Rajendra Kumar, Ashok Kumar, Tarkeshwar and Dheerendra Kumar
Abstract:
India is the second largest rapeseed–mustard cultivating country in the world after China and third in production after China and Canada, rapeseed-mustard holds a prominent place in the country’s economy. The present investigation has been carried out to study the inter-relationships and direct and indirect effects of yield contributing traits toward seed yield. The experiment was carried out at the Research Farm, Institute of Agriculture Science, Bundelkhand University, Jhansi (UP). The experimental material comprising 100 treatments viz., (10 parents + 45 F1's + 45 F2's) were evaluated in Randomized Block Design with three replications during rabi 2021- 2022. The observations were taken for fourteen metric traits. Seed yield/plant exhibited a positive highly significant association at genotypic level with harvest index followed by number of siliquae/plant, leaf area index, biological yield/plant, number of seeds/siliqua, number of secondary branches/plant, 1000-seed weight, plant height, number of primary branches/plant, days to maturity in F1’s as well as F2’s. The path coefficient revealed that the harvest-index followed by biological yield/plant and leaf area index were the highest direct contributors in seed yield while, harvest index exhibited high order of positive indirect effects on seed yield/plant via number of siliquae/plant followed by leaf area index, number of seeds/siliqua and 1000-seeds weight in both the generations.
Pages: 872-879  |  197 Views  57 Downloads


The Pharma Innovation Journal
How to cite this article:
Rajendra Kumar, Ashok Kumar, Tarkeshwar, Dheerendra Kumar. Assessment of correlation and path coefficients for yield and its attributing traits in Indian mustard [Brassica juncea (L.) Czern & Coss.]. Pharma Innovation 2022;11(8):872-879.

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