Journal of Innovative Agriculture, Volume 1, Issue 1 : 16-21. Doi : 10.37446/jinagri/1.1.2014.16-21
Research Article

OPEN ACCESS | Published on : 30-Dec-2014

Evaluation of hybrid rice for variability and yield contributing characters under Allahabad climatic condition

  • R Vinoth
  • Centre for Plant Breeding and Genetics, Tamil Nadu Agricultural University, Coimbatore-641 003, Tamil Nadu, India.
  • R Shiv Rama Krishnan
  • Division Plant Physiology, Indian Agricultural Research Institute, New Delhi, India.
  • G Govardhan
  • Department of Genetics and Plant Breeding, S.V.Agricultural College, Acharya N.G.Ranga Agricultural University, Tirupati-517502, Andhra Pradesh, India.
  • Shailesh Marker
  • Department of Genetics and Plant Breeding, Allahabad School of Agriculture, SHIATS, Allahabad- 211007, Uttar Pradesh, India.


Rice is the most important food crop after wheat and maize. India, the home of rice, has nearly one third of the world’s rice acreage but still suffers from a chronic shortage of the cereal. The knowledge of genetic variability in a given crop species for characters under improvement is important in any plant breeding programme. Heritability with genetic advances is more helpful in predicting the gain under effective selection. Genetic parameters for yield and its correspondent characters in rice were estimated from a trial with 36 rice hybrids evaluated for eighteen characters related to yield. Analysis of variance revealed high significant differences for all the 18 characters studied. Phenotypic coefficient of variation (PCV) was higher than genotype coefficient of variation (GCV) for all the characters indicating the little influence of environment on the characters. All the qualitative characters depicted high estimates of heritability, which indicates preponderance of additive gene action in the inheritance of these characters. High to moderate degree of genetic advance was observed for number of filled grains per panicle followed by biological yield per plant. Therefore, the results suggest that these characters can be used for grain yield selection.


Rice, Genetic variability, Heritability, Genetic advance, Oryza sativa and Grain yield


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