Current Trends in Biotechnology and Pharmacy
Open Access
SCOPUS
  • Year: 2018
  • Volume: 12
  • Issue: 1

Identification of Nitrogen Efficient Indica Rice (Oryza sativa L.) Genotypes: A physiological and Multivariate statistical approach

  • Author:
  • Krishna Kumar Guduru1, Varakumar Pandit1, Ramesh Palakurthi2, Sravani Konduru1, Suresh Raju Kandi, Jayanna Naik Banavath1, Chandra Sekhar Akila2, Chandra Obul Reddy Puli1,
  • Total Page Count: 17
  • Page Number: 16 to 32

1Plant Molecular Biology Laboratory Department of Botany, Yogi Vemana University, Kadapa, Andhra Pradesh, India

2Molecular Genetics and Functional Genomics Laboratory Department of Biotechnology, Yogi Vemana University, Kadapa, Andhra Pradesh, India

*For Correspondence- pcoreddy@gmail.com; coreddy@yogivemanauniversity.ac.in

Online published on 2 November, 2018.

Abstract

Nitrogen efficiency (NE) is an important approach to develop nitrogen use efficient (NUE) genotypes in rice growing regions globally. Identification of nitrogen (N) tolerant genotype is the foremost step to develop Nitrogen Use Efficient (NUE) genotypes. In order to identify the N tolerant genotypes in popular indica rice a hydroponic experiment was conducted in glass house with various concentrations of N and 26 genotypes were screened by measuring growth dynamics, biomass accumulation and NE traits. The data revealed that growth dynamics viz., morphological (TNL, RL and SL), biomass (RFW, SFW, RDW, SDW and TDM) and NE traits showed high genotypic variation for N treatments. Of which root and shoot traits were significantly influenced the nitrogen efficiency trait of genotypes. Based on NE; genotypes were categorized as High Efficient; Medium efficient and Low efficient genotypes. Growth dynamics and NE traits were higher in DRRH3 at low N condition; while BPT5204 responds very poor under low N which confirmed that DRRH3 as most N-efficient and BPT5204 as most N-inefficient genotypes. Further experimental data was subjected to multivariate statistical analysis by means of Pearson correlation, PCA and hierarchical clustering of heatmap analysis. The statistical data is in tune with the experimental data and strongly supported that root and shoot traits are most contributing traits for NE of genotypes. The data generated in the present study is very useful for the selection of genotypes as parents for the development of NUE genotypes of rice.

Keywords

Rice genotypes, N treatments, growth dynamics, Nitrogen efficiency, Multivariate statistical analysis, N-efficient and N-inefficient genotypes