Sangodele Emmanuel  A.¹ , Hanchinal    R.R.¹ , Hanamaratti  N.G.¹ , Vinay  Shenoy² , Mahantashivayogayya  K.³ , Surendra P.¹ , Mohammed Ibrahim³

1.Department of Genetics and Plant Breeding, University of Agricultural Sciences, Dharwad, Karnataka State, India;
2.Barwale Foundation, Hyderabad, AP, India;
3.Agricultural Research Station Gangavati, University of Agricultural Sciences, Raichur, Karnataka State, India;
Author    Correspondence author
Rice Genomics and Genetics, 2013, Vol. 4, No. 5   doi: 10.5376/rgg.2013.04.0005
Received: 16 Jul., 2013    Accepted: 26 Sep., 2013    Published: 14 Dec., 2013

This is an open access article published under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Sangodele et al., 2013, Genotype × Environment Interaction (GEI) and Stability Analysis of Backcross Inbred Lines (BILs) Derived from Swarna × WAB 450 Inter Cross under Rainfed Ecosystem in North Karnataka state of India, Rice Genomics and Genetics, Vol.4, No.5, 22-27 (doi: 10.5376/rgg.2013.04.0005)

The main objectives of this investigation is to determine the GEl effects on grain yield of superior BILs derived from Swarna X WAB 450 inter cross and to select genotypes that are widely adapted across upland rice growing rainfed areas in North Karnataka, India. Multi-location yield trials of nineteen superior BILs (BC₁F₈) and three checks selected for earliness, productivity, reaction to blast diseases and grain size were conducted at three locations in six environments. Result of Additive Main effect and multiplicative interaction (AMMI) analysis showed that genotypes, environments and GEI components were significant. Out of twenty two genotypes evaluated for GEI effect in this study, six genotypes were found suitable for all environments; six genotypes for favourable environments while ten genotypes were identified as suitable for unfavorable environments.

Genotypes; Environment; Interaction; Population; Adaptation