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Journal of Environmental Biology

pISSN: 0254-8704 ; eISSN: 2394-0379 ; CODEN: JEBIDP

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    Abstract - Issue Jan 2025, 46 (1)                                     Back


nstantaneous and historical temperature effects on a-pinene

Assessment of genetic diversity in Nelumbo nucifera genotypes

 

V. Kumar, R. Kumar and M. Rana*     

Department of Horticulture, School of Life Sciences, Sikkim University, 6th Mile, Tadong-737 102, India

 

Received: 22 May 2024                   Revised: 08 July 2024                   Accepted: 03 October 2024

*Corresponding Author Email : mrana@cus.ac.in                     *ORCiD: https://orcid.org/0000-0001-7106-6355

 

 

 

Abstract

 

Aim: The present investigation assessed the level of genetic diversity in the lotus (Nelumbo nucifera Gaertn.) genotypes grown naturally in Bihar (India).

Methodology: In situ observations on 21 quantitative traits were recorded with five replications from each sampling site and data was analysed in a Completely Randomized Block Design.

Results: Among all the genotypes BRL-01, BRL-08, BRL-21, and BRL-22 showed significant variation in the number of petals per flower, weight of flower, and flower colour. High values of genetic parameters were calculated for number of petals per flower, rhizome weight, rhizome length and weight of the flower. Number of petals per flower, number of leaf venation and diameter of the flower bud showed a significant positive correlation with the weight of flower. Path analysis revealed a highest positive direct effect of leaf length on flower weight at genotypic level.

Interpretation: High GCV for all traits indicates the existence of genetic variation. The traits coupled with high heritability and genetic advance indicate the positive response for selection, primarily driven by additive gene action. Therefore, selection for traits such as number of petals per flower, length of flower stalk and weight of flower may be useful for the development of improved variety for flower attributes.

Key words: Correlation coefficient, Diversity, Genotypes, Lotus, Path analysis

 

 

 

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