Morphological assessment to predict genetic variability for leaf yield and component traits in Moringa (Moringa oleifera)


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Authors

  • SUPRIYA MANDAL UNIVERSITY OF HORTICULTURAL SCIENCE, BAGALKOT, KARNATAKA-587104IN AN RESEARCH AGREEMENT WITH ICAR-IIHR, BENGALURU
  • RAJA SHANKAR ICAR-INDIAN INSTITUTE OF HORTICULTURAL RESEARCH, BENGALURU 560089
  • C N HANCHINAMANI COLLEGE OF HORTICULTURE, BENGALURU 560065, UNIVERSITY OF HORTICULTURAL SCIENCE, BAGALKOT 587104
  • M ANJANAPPA COLLEGE OF HORTICULTURE, KOLAR 563102, UNIVERSITY OF HORTICULTURAL SCIENCE, BAGALKOT 587104
  • ARVIND KUMAR J S COLLEGE OF HORTICULTURE, MYSORE 571130,UNIVERSITY OF HORTICULTURAL SCIENCE, BAGALKOT 587104

https://doi.org/10.56093/ijas.v92i6.108359

Keywords:

Genetic variability, GCV, PCV, heritability, genetic advance, genetic advance as per cent of mean, additive gene action, Moringa oleifera L., leaf yield.

Abstract

Moringa (Moringa oleifera L.) is primarily grown for its pod but nowadays it is gaining demands for leaf production.
Moringa leaves have immense medicinal and dietary value to supplement nutrients for good health. Therefore,
identification and selection of leafy type genotype(s) is imperative. Fifty-two genotypes collected from diversified
areas of India were evaluated at Division of Vegetable crops, ICAR-IIHR, Bengaluru from 2018–2020. Analysis
of variance for growth and leaf yield traits indicated existence of considerable genetic variability in the gene pool.
Magnitude of phenotypic coefficient of variation was higher than its genotypic level for all the traits, indicating the
environmental influence on their expression. Higher genotypic and phenotypic coefficient of variation was observed
for all the leaf yield traits indicating that higher variability and simple selection would be effective. High heritability
was recorded for all growth and leaf yield related traits (60.74–99.89%) except number of primary rachis per leaf
(35.66%), suggesting selection based on phenotypic expression is effective for improvement. The estimate of genetic advance as per cent mean value was high for all growth and leaf yield related traits except edible leaf per cent and number of primary rachis per leaf, revealing that additive gene action and selection approach is most helpful for improvement of these characters. High heritability coupled with high genetic advance was observed for stem length, whole leaf weight/shoot and edible leaf weight/shoot which revealed that these characters are under additive gene action and showed higher responses of these trait towards selection.

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Author Biographies

  • SUPRIYA MANDAL, UNIVERSITY OF HORTICULTURAL SCIENCE, BAGALKOT, KARNATAKA-587104IN AN RESEARCH AGREEMENT WITH ICAR-IIHR, BENGALURU

    Department of Vegetable Science, University of Horticultural Science, Bagalkot-587104

    Research student at ICAR-IIHR, Bengaluru-560089

    Area of interest: Drumstick (Breeding and Production) 

     

  • RAJA SHANKAR, ICAR-INDIAN INSTITUTE OF HORTICULTURAL RESEARCH, BENGALURU 560089

    Principal Scientist, Division of Vegetable Crops, ICAR-IIHR, Bengaluru 560089

  • C N HANCHINAMANI, COLLEGE OF HORTICULTURE, BENGALURU 560065, UNIVERSITY OF HORTICULTURAL SCIENCE, BAGALKOT 587104

    HEAD AND PROFESSOR, DEPARTMENT OF VEGETABLE SCIENCE, COLLEGE OF HORTICULTURE, BENGALURU 560065, UNIVERSITY OF HORTICULTURAL SCIENCE, BAGALKOT 587104

  • M ANJANAPPA, COLLEGE OF HORTICULTURE, KOLAR 563102, UNIVERSITY OF HORTICULTURAL SCIENCE, BAGALKOT 587104

    HEAD AND PROFESSOR, DEPARTMENT OF VEGETABLE SCIENCE, COLLEGE OF HORTICULTURE, KOLAR 563102, UNIVERSITY OF HORTICULTURAL SCIENCE, BAGALKOT 587104

  • ARVIND KUMAR J S, COLLEGE OF HORTICULTURE, MYSORE 571130,UNIVERSITY OF HORTICULTURAL SCIENCE, BAGALKOT 587104

    ASSOCIATE PROFESSOR, DEPARTMENT OF VEGETABLE SCIENCE, COLLEGE OF HORTICULTURE, MYSORE 571130, UNIVERSITY OF HORTICULTURAL SCIENCE, BAGALKOT 587104

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Submitted

2020-12-12

Published

2022-01-13

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Section

Articles

How to Cite

MANDAL, S., SHANKAR, R., HANCHINAMANI, C. N., ANJANAPPA, M., & KUMAR J S, A. (2022). Morphological assessment to predict genetic variability for leaf yield and component traits in Moringa (Moringa oleifera). The Indian Journal of Agricultural Sciences, 92(6), 721-725. https://doi.org/10.56093/ijas.v92i6.108359
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