An investigation was carried out on fifteen rice genotypes to identify stable rice hybrids across six different agroclimatic zones in Telangana state using AMMI and GGE bi-plot analyses during July to November, 2020. Analysis of variance clearly showed that environments contributed highest (65.47%) in total sum of squares followed by genotypes×environments (21.19%) indicating very greater role played by environments and their interactions in realizing final grain yield. AMMI analysis revealed that rice hybrids viz., RNRH 39 (G6), 27P31 (G14) and RNRH 15 (G1) were recorded higher mean grain yield with positive IPCA1 scores. The hybrids, JGLH 275 (G11) and JGLH 365 (G15) were plotted near to zero IPCA1 axis indicating that these hybrids are relatively more stable across locations. GGE bi-plot genotype view depicts that the hybrids, JGLH 365 (G15) and US 314 (G8) were inside the first concentric circle and found to be more stable across environments. GGE bi-plot environment view showed that Rudrur (E4) location was the most ideal environment. However, Warangal (E6) and Jagtial (E1) locations were poor and most discriminating. Depending on dispersion of environments in different directions, six locations were partitioned into three mega zones as first zone comprised of four locations viz., Kunaram (E2), Kampasagar (E3), Rudrur (E4) and Rajendranagar (E5) whereas highly dispersed Jagtial (E1) and Warangal (E6) were identified as two separate mega environments. The bi-plot view identified that 27P31 (G14), JGL 24423 (G2) and RNRH 39 (G6) were the best performing genotypes in first zone comprising four locations.

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A study was carried out to access the genetic variability in a set of 190 recombinant inbred lines (RILs) of rice derived from MTU1010 and BR2655. Plant height and number of productive tillers per plant recorded high PCV and GCV during kharif 2016, whereas number of filled grains per panicle, grain yield per plant, grain zinc concentration and grain iron concentration during rabi 2016-17.The estimates of PCV were slightly higher than the corresponding GCV estimates for all the traits studied indicating that the characters were least influenced by the environment. High heritability coupled with high genetic advance as per cent of mean was noticed for traits like plant height, number of productive tillers, number of filled grains per panicle, 1000-grain weight, grain yield per plant, grain iron concentration and grain zinc concentration respectively during kharif 2016 and rabi 2016-17 indicating that traits are under additive genetic control, simple selection would likely be effective for further improvement of these traits in desirable direction. RILs J16, J144 and J146 have shown higher grain yield per plant with high iron and zinc concentrations.

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