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Traditional rice varieties (TRVs) form important components of genetic reservoir. TRVs used in study viz., Rajamudi, Ratnachoodi and Jeerigesanna are photosensitive. They may exhibit Genotype by Environment (G×E) interactions for grain yield and quality traits. Hence, present experiment was conducted to understand responses of yield and quality traits in selected traditional along with improved varieties of rice over five different locations of Karnataka using additive main effects and multiplicative interaction (AMMI) model and bi-plots were developed following GGE bi-plot methodology. AMMI analysis revealed that there existed significant GE interaction among ten rice varieties and genotypes and environments were diverse in nature. IPCA1 and IPCA2 together explained more than 75% of GE interaction for yield and quality traits and maximum GE interaction was explained by IPCA (Interaction Principle Component Analysis) 1. BR-2655 and Ratnachoodi were found to be most stable varieties and Mugadsiri was found to be most unstable variety for grain yield. Jeerigesanna and BPT-5204 were stable for gel consistency and amylose content respectively. Among rice varieties used, BR-2655 was found to be the best variety since it recorded highest grain yield and also it was stable performer for grain yield and also amylose content across five different locations.

The increase in food production is greatly contributed by green revolution, thereby leading to reduction in people's starvation. However, this caused greater depletion of micronutrient reserve in soil and thereby accentuated wide spread deficiencies of micronutrients in crop species. Hence, biofortification program has been initiated to identify varieties having high iron and zinc along with high yield. In the present study 46 rice genotypes along with 4 checks were received from Indian Institute of Rice Research (IIRR), Hyderabad, India and were evaluated for yield and yield attributing traits, grain quality parameters and estimation of micronutrients.For yield and yield attributing characters most of the traits showed high heritability associated with high genetic advance indicating fixation of genes and presence of additive gene action in these traits. The results obtained by micronutrient estimation revealed that iron and zinc contents of dehusked grains differed significantly between the genotypes. Among various studied genotypes the promising genotypes with highest grain iron and zinc content along with higher yields and with intermediate amylose content were identified. These promising genotypes identified can be released to farmers after testing in multilocation trials for their stable performance or they can be used as parents in hybridization programme.

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Medium slender grain varieties of rice are one of the most preferred among the south Indian rice consumers and has a high demand in both national as well as international markets. In the study, 18 medium slender rice genotypes were examined along with four individual checks in Karnataka across four different locations to assess genetic stability using additive main effects and multiplicative interaction (AMMI) model and GGE bi-plot methodology. The genotype environment interaction (G×E interaction) were partitioned into two principal components and were found highly significant. Together, IPCA1 and IPCA2 explained more than 75 percent of G×E interactions for yield trait, with IPCA I explaining maximum G×E interaction. Gangavati and Malnoor were found to be favorable environments. AMMI analysis indicated that the BPT mutant 1801, BPT mutant 1804 and BPT mutant 1811 were found to be most stable genotypes for grain yield across locations over check GGV-05-01. Among rice genotypes, the best elite genotype, BPT mutant 1801 recorded highest grain yield and was also the most stable in grain yield across four locations.

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