Electronic Journal of Plant Breeding
Open Access
SCOPUS
  • Year: 2024
  • Volume: 15
  • Issue: 4

Optimizing rice (Oryza sativa L.) yield and lodging resistance using MGIDI and conventional selection indices

  • Author:
  • Durga Prasad Mullangie1, Kalaimagal Thiyagarajan1,*, Manonmani Swaminathan2, Sritharan Natarajan2, Senthilkumar Govindan2
  • Total Page Count: 11
  • Page Number: 832 to 842

1Department of Genetics and Plant Breeding, Centre for Plant Breeding and Genetics (CPBG), Tamil Nadu Agricultural University, Coimbatore-641003

2Department of Rice, Centre for Plant Breeding and Genetics, Tamil Nadu Agricultural University, Coimbatore-641003

*E-Mail: kalaimagal.t@tnau.ac.in

Online published on 6 February, 2025.

Abstract

To deal with the changing climate there is a necessity to develop climate resilient varieties without compromising yield. Hence concentrating on all the traits is essential to select genotypes. On utilization of the selection indices SI 1, SI 2, SI 3, and MGIDI we have observed that the modern selection indices such as MGIDI are superior over the Smith Index as MGIDI reported a gain of 2% in yield in F5 which simultaneously improved lodging resistance with a gain of 39.6% for section modulus and 34.7% for bending stress. In BC1F4, a selection gain of 5.80% for yield with simultaneous improvement in culm diameter at 5.89% gain was observed. Hence MGIDI was found to be superior over conventional indices, which improved both lodging resistance and yield.

Keywords

Smith Hazel Index, Genetic Weights, Section Modulus, Bending Stress, Multicollinearity