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Research Article Open access CC BY 4.0

Genotypic & Phenotypic Correlation Analysis for Yield and Economic Traits in Fennel (Foeniculum vulgare Mill.)

Preeti Yadav, C. N. Ram, Neetu, Anjana C.S., Subham Kumar, Shweta Yadav

Journal of Advances in Biology & Biotechnology · pp. 229–234 · Published 13 Feb 2025

10.9734/jabb/2025/v28i21984

Abstract

The experiment was carried out during Rabi season of the year 2020-2021 at Main Experiment Station Department of Vegetable Science, Acharya Narendra Deva University of Agriculture & Technology, Kumarganj, Ayodhya (U.P.) India. Genotypic & Phenotypic correlation study was undertaken on 75 genotypes & three checks (NDF-1, RF-101, RF-205) in Augmented Block Design. The study revealed that seed yield per plant showed highly and positively significant correlation with days to maturity (0.289**). Whereas Test weight with nodes per plant (0.389**), Plant height with Number of branches per plant (0.341**), Umbel diameter with days to 50% flowering (0.311**) &Number of umbel per plant with days to 50% flowering (0.318**) showed highly and positively significant correlation with each other. While significant positive correlation was also shown for Number of umbellate per umbel (0.207**) with seed yield per plant and test weight with umbel diameter (0.233*) followed by inter nodal length (0.216*). Plant height showed significant correlation with fruit per umbellate (0.276*) followed by number of umbellate per (0.257*). Path coefficient analysis indicated that the highest positive direct effect at phenotypic level was found on days to maturity (0.2956) followed by number of umbellate per umbel (0.1637), plant height (0.1597), nodes per plant (0.1062), number of umbels per plant (0.0232), 1000-seed weight (0.0549), number of branches per plant (0.0011) and days to 50% flowering (0.2960). Therefore, this study showed the contributing characters among these genotypes having positive & higher magnitude of Genotypic & Phenotypic Correlation on with higher yield.

Correlation path coefficient augmented block design fennel

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