Stability analysis over different environments for grain yield and its components in hybrid rice (Oryza sativa L.)
Abstract
The study was undertaken to assess the genotype x environment interaction in rice by evaluating 79 genotypes comprising of five lines, twelve testers, sixty hybrids and two checks in three different locations of Telangana State. Analysis of variance reveals that the G x E interaction was significant for all the characters studied except for 1000 grain weight indicating differential behaviour of genotypes in changing environments. Environmental indices revealed that Rajendranagar was found to be the most favourable location for most of the yield component traits. Among the 60 hybrids evaluated, the hybrids, IR-58025A x RNR-15038, IR-58025A x RNR-2781 and APMS-6A x RNR-15038 for grain yield per plant, IR-58025A x RNR-15398, IR-58025A x RNR-2781, IR-80555A x RNR-15038 and APMS-6A x RNR-15038 for number of productive tillers per plant, IR-58025A x RNR-15038, IR-58025A x RNR-2781, IR-79156A x NWGR-3132, APMS-6A x RNR-15038 and APMS-6A x RNR-2781 for number of filled grains per panicle and IR-58025A x RNR-15038, IR-79156A x WGL-3962, IR-80555A x RNR-15028 and IR-68897A x RNR-2781 for spikelet fertility percentage were identified as stable genotypes. The cross, IR-68897A x RNR-2781 exhibited superior mean performance for days to 50% flowering, panicle length, number of filled grains per panicle and grain yield per plant and it was identified as promising for favourable environment based on stability parameters. In poor environment the hybrid, IR-58025A x RNR-17462 was found to be good for number of productive tillers per plant and grain yield per plant and the cross, IR-79156A x RNR-2781 exhibited better performance for number of filled grains per panicle. Based on stability analysis the hybrids, IR-58025A x RNR-15038, IR-58025A x RNR-2781 and APMS-6A x RNR-15038 were identified as stable for most of the yield components and these hybrid combinations could be evaluated over large number of environments before it is exploited commercially.
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