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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
E-ISSN : 2582-4198
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Vol. 7 (3) : May-June 2016 issue
Green Farming Vol. 7 (3) : 532-536 ; May-June, 2016
Pattern of relationship among yield and yield component traits in rice (Oryza sativa L.) under drought condition
SANTOSH KUMARa1*, N.K. SINGHa2, RAJESH KUMARa3, NILANJAYAa4, CHANDAN KUMARa5 and PRITI KUMARIb6
aDepartment of Plant Breeding and Genetics, bDepartment of Agricultural Biotechnology and Molecular Biology, Rajendra Agricultural University, Pusa, Samastipur - 848 125 (Bihar)
Designation :  
1,5,6P.G student *(santoshpbg@yahoo.com), 2Chief scientist Rice, 3,4Junior scientist Rice
Subject : Crop Genetics and Plant Breeding
Paper No. : P-3930
Total Pages : 5
Received : 07 July 2015
Revised accepted : 22 April 2016
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Citation :

SANTOSH KUMAR, N.K. SINGH, RAJESH KUMAR, NILANJAYA, CHANDAN KUMAR and PRITI KUMARI. 2016. Pattern of relationship among yield and yield component traits in rice (Oryza sativa L.) under drought condition. Green Farming Vol. 7 (3) : 532-536 ; May-June, 2016

ABSTRACT
A study of interrelationship and cause-effect analysis of grain yield and its component traits was carried out using twenty one rice genotypes under drought condition. The component traits viz., harvest index (0.693), tillers per plant (0.644), recovery per cent after stress (0.582), proline accumulation in leaves (0.443), grains per panicle (0.412) showed positive and significant correlation with grain yield per square meter at genotypic level. The maximum direct effect with grain yield per square meter was observed for harvest index (0.5867) followed by days to maturity (0.5782) and test weight (0.4977) genotypic level. The strong positive correlation between component traits and grain yield per square meter with high direct effect indicated the true relationship between them, therefore direct selection though this trait will be effective for yield improvement.
Key words :
Character association, Drought, Genotypic & phenotypic correlation, Path analysis, Rice, Yield attributes.