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Vol. 12, Issue 8 (2023)

Correlation and path coefficient analysis for seed yield and its contributing traits in Indian mustard (Brassica juncea L. Czern & Coss)

Author(s):
Anjali, Mukesh Kumar, Aditya Kasaundhan, Gajjela Indira, Minakshi, Vivek Kumar and Raj Kumar
Abstract:
Forty five genotypes of Indian mustard were used in a 3-replication Randomised Block design (RBD) experiment to take a look at correlation and direction evaluation for 12 quantitative parameters. Three randomly selected flora from each genotype in each replication have been examined for grain yield consistent with plant, take a look at weight, oil content, days to 50% flowering, days to seed filling, days to adulthood, length of predominant shoot, number of pods on most important shoot, variety of number one branches, range of secondary branches, plant top, and number of seeds pod-1. For every of the investigated trends, every genotype showed a highly sizable distinction. range of number one branch and quantity of secondary branch matter all showed high genotypic and phenotypic coefficients of variant (GCV and PCV) in Grain yield, The genotypic correlation coefficient values have been usually better than the phenotypic correlation coefficient values. At each the genotypic and phenotypic stages, grain yield plant-1 had a incredibly substantial positive correlation with (0.627), number of secondary branches consistent with plant (zero.558), length of predominant shoot (zero.556), wide variety of pods on main shoot (0.500), wide variety of number one branches according to plant (zero.443) and days to 50% flowering (0.224). Indicating that the environment had little influence on the affiliation. As a result, enhancing those characteristics can bring about expanded grain output plant-1. Plant height, range of secondary branches plant-1, and quantity of seeds pod-1 all established a strong high quality direct impact at both the genotypic and phenotypic tiers some of the numerous attributes evaluated. This validated that these trends are the most critical in determining grain output plant-1, and they may be effortlessly superior through choice.
Pages: 2434-2437  |  111 Views  52 Downloads


The Pharma Innovation Journal
How to cite this article:
Anjali, Mukesh Kumar, Aditya Kasaundhan, Gajjela Indira, Minakshi, Vivek Kumar, Raj Kumar. Correlation and path coefficient analysis for seed yield and its contributing traits in Indian mustard (Brassica juncea L. Czern & Coss). Pharma Innovation 2023;12(8):2434-2437.

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