Electronic Journal of Plant Breeding
Open Access
SCOPUS
  • Year: 2024
  • Volume: 15
  • Issue: 3

Variability assessment and screening of superior rice (Oryza sativa L.) genotypes for grain micronutrients and yield components

  • Author:
  • Bishawajit Kumar1,2, M. K. Singh1,*, Namata Kumari1,2, Shalu Kumari3, Banshidhar1,4, Digvijay Singh5
  • Total Page Count: 7
  • Page Number: 794 to 800

1Department of Genetics and Plant Breeding, Dr. Rajendra Prasad Central Agricultural University, Pusa (Samastipur)-848125, Bihar, India

2Department of Genetics and Plant Breeding, G. B. Pant University of Agriculture & Technology , Pantnagar (Udham Singh Nagar)-263145, Uttarakhand, India

3Department of Genetics and Plant Breeding, I.A.S, BHU, Varanasi - 492012, Uttar Pradesh, India

4Department of Genetics and Plant Breeding, Acharya Narendra Deva University of Agriculture & Technology, Kumarganj (Ayodhya) - 224 229, Uttar Pradesh, India

5Department of Genetics & Plant Breeding, Narayan Institute of Agricultural Sciences, Gopal Narayan Singh University, Jamuhar (Sasaram)- 821305, Bihar, India

*E-Mail: mithileshgpb@gmail.com

Online published on 25 October, 2024.

Abstract

The present study was carried out to assess the genetic parameters and divergence in 38 rice genotypes for important yield and grain quality traits. Phenotypic coefficient of variation (PCV) exceeded genotypic coefficient of variation (GCV) for all the traits taken for the study, while high heritability was recorded for all the traits, except kernel length to breadth ratio and grain iron content. The trait number of grains per panicle exhibited high heritability (91.00%) and high genetic advance as a percentage of mean suggesting simple selection may be followed to improve the traits. Cluster analysis grouped the genotypes into seven clusters. The highest inter-cluster distance was observed between clusters VII and IV (537.17). Five genotypes excelled in grain yield, ten genotypes for grain zinc content and one genotype for grain iron content over the check variety Rajendra Bhagwati. Despite high variability in grain zinc and iron content, no genotype surpassed the check variety for all three crucial attributes i.e. grain yield, grain zinc and iron content. The experimental material’s variability for grain nutrient status suggests their potential use in biofortification programs.

Keywords

Rice, Biofortification, Micronutrients, Variability, Genetic diversity, Heritability