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

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.

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Journal
Journal of Advances in Biology & Biotechnology
Published
2025-02-13
DOI
https://doi.org/10.9734/jabb/2025/v28i21984
Primary Topic
Plant Physiology and Cultivation Studies
Type
article
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article

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

C. N. Ram, Shweta Yadav, Subham Kumar, Preeti Yadav et al.
Journal of Advances in Biology & Biotechnology
Plant Physiology and Cultivation Studies
article

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

C. N. Ram, Shweta Yadav, Subham Kumar, Preeti Yadav, Neetu, A Ganie S
article en

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.

Journal of Advances in Biology & BiotechnologyVol. 28(2)
Acharya Narendra Deva University of Agriculture and Technology (IN), U.S. Vegetable Laboratory (US)
Openalex Percentile: Top 98%
Plant Physiology and Cultivation Studies
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