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International Journal of Applied Agricultural & Horticultural Sciences
  • 28 April, 2024
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Language : English
DOI Prefix : 10.37322
P-ISSN : 0974-0775
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Vol. 8 (2) : March-April 2017 issue
Green Farming Vol. 8 (2) : 346-349 ; March-April, 2017
Principal component analysis in okra (Abelmoschus esculentus (L.) Moench)
MEENAKSHI RAMGIRY1*, B.K. VERMA2 and A.K. NAIDU3
Department of Horticulture, Jawaharlal Nehru Krishi Vishwa Vidyalaya, Jabalpur - 482 004 (Madhya Pradesh)
Designation :  
1,2Technical Asstt. *(meenakshi.ramgiri@gmail.com), 3Principal Scientist & HOD
Subject : Vegetable Sciences
Paper No. : P-5399
Total Pages : 4
Received : 24 June 2016
Revised accepted : 10 February 2017
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Citation :

MEENAKSHI RAMGIRY, B.K. VERMA and A.K. NAIDU. 2017. Principal component analysis in okra (Abelmoschus esculentus (L.) Moench). Green Farming Vol. 8 (2) : 346-349 ; March-April, 2017

ABSTRACT
Twenty four accessions of okra (Abelmoschus esculentus (L.) Moench) were collected from different sources and evaluated at the Vegetable Research Farm, Maharajpur, Department of Horticulture, JNKVV, Jabalpur during 2014 and 2015. Correlation coefficient of fruit yield per plant recorded highly significant and positive with number of fruit yield per plant and fruit diameter. Seven traits viz., plant height , number of leaves, days to 50% flowering, no. of fruits per plant, average fruit weight, fruit yield per plant and fruit yield per plot has Eigen value more than 0.5 and highest variation was observed in PC 1 (26.77%). Among the genotypes i.e. 2013/OKHYB-6, 2013/OKHYB-4 and 2013/OKHYB-7 have yield enhancing genes that can be used as direct selection or in hybridization for improvement of okra.
Key words :
Abelmoschus esculentus, Correlation analysis, Okra, Principal component analysis.