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International Journal of Applied Agricultural & Horticultural Sciences
  • 26 April, 2024
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Language : English
DOI Prefix : 10.37322
P-ISSN : 0974-0775
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Vol. 7 (4) : July-August 2016 issue
Green Farming Vol. 7 (4) : 770-773 ; July-August, 2016
Correlation and path analysis studies in rice (Oryza sativa L.) genotypes of India
A.K. MEENAa1*, J. SURESHa2, CH. SURENDAR RAJUa3 and H.P. MEENAb4
aDivision of Genetics and Plant Breeding, Acharya N.G. Ranga Agricultural University, Rajendranagar,
bDirectorate of Oilseeds Research, Hyderabad - 500 030 (Andhra Pradesh)
Designation :  
1Ph.D. Scholar *(meenaashok67@gmail.com), 2Assoc. Professor, 3Principal Scientist & Head, 4Scientist
Subject : Crop Genetics and Plant Breeding
Paper No. : P-4221
Total Pages : 4
Received : 16 September 2015
Revised accepted : 30 May 2016
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Citation :

A.K. MEENA, J. SURESH, CH. SURENDAR RAJU and H.P. MEENA. 2016. Correlation and path analysis studies in rice (Oryza sativa L.) genotypes of India. Green Farming Vol. 7 (4) : 770-773 ; July-August, 2016

 

ABSTRACT
The present investigation is carried out to study the correlation and path analysis in thirty eight genotypes of rice (Oryza sativa L.). Character association of the yield attributing traits revealed significantly positive association of grain yield per plant with days to 50 per cent flowering followed by number of productive tillers per plant, number of filled grains per panicle, kernel length and kernel breadth. Hence, selection for these traits can improve yield. Path coefficient analysis revealed that number of productive tillers per plant exerted the highest positive direct effect on grain yield followed by number of filled grains per panicle, kernel breath, L/B ratio, days to 50 per cent flowering, plant height, 1000-grain weight. Among these characters, number of productive tillers per plant possessed both positive association and high direct effects. Therefore, it is suggested that preference should be given to these characters in the selection programme to isolate superior lines with genetic potentiality for higher yield in rice genotypes.
Key words :
Genotypic & phenotypic correlation, Path analysis, Rice genotypes, Yield & quality traits.