Vol. 9, Issue 6, Part I (2025)

Present investigation is on 40 grain amaranth accessions evaluated in three environments created by sowing viz., 15 Nov, 30 Nov and 15 Dec 2022-23 in three dates of sowing and were analysed according to Eberhart and Russell (1966) model for estimating the stability parameters to assess the performance of grain amaranth accessions across the environment. The analysis of variance as per the Eberhart and Russell (1966) model showed a very significant differences between the 40 accessions for all characters viz., days to 50% flowering, plant height, leaf length, leaf width, petiole length, number of leaves/plant, lateral spikelet length, number of inflorescence/plant, grain weight/panicle, dry weight of plant, harvest index and seed yield/plant except for days to 80% maturity, inflorescence length and 10 ml vol. seed weight studied over three different dates of sowing environments, indicates sufficient amount of variability was present among the accessions and environments for the studied characters. The highest mean performance for seed yield/ plant over the three environments was observed in IC-42277. The regression coefficient (bi) value of IC-38483 is <1, it indicate accessions IC-38483 is low responsive and suitable for unfavourable environments and bi >1 of IC-38542, it indicates accession IC-38542 is highly responsive and suitable for favourable environments. The accessions IC-95308, IC-95321, IC-95333, IC-95580, IC-95288, IC-93962, IC-95298, IC-95299, IC-37156, IC-41769, IC-42281, IC-42265, SKGPA-179, SKGPA-172, SKGPA-176, SKGPA-174 and RMA-7(C) have non-significant deviations from regression hence said stable and adopted to all the three environments and rest of the accessions have highly significant so these are unstable for over all three environments conditions. The accessions IC-95321, IC-93962, SKGPA-174 and RMA-7 check are better than the grand mean may be recommended for all environments. All the grain amaranth accessions except SKGPA-172 have non-significant linear regressions is said to be low responsive and suitable for unfavourable environments.