Utilization of the most recent GGE biplot to locate stable genotypes in turmeric using the well-liked Eberheart Russell stability model

Stability Analysis of Turmeric in Different Agro-Climatic Zones of Chhattisgarh

Abstract

GGE and AMMI biplot methods with Eberhart and Russell regression model were applied on the set of twelve indigenous turmeric genotypes grown in nine environments for quick and relevant method to delineate genotype by environment interaction, stable genotypes and environmental discrimination. The average rhizome yield over the locations was depicted as 12.01 ton/ha, which ranged from 7.87 ton/ha (Jagdalpur) to 20.02 ton/ha (Raigarh). The genotype CG Haldi 2 (16.61 ton/ha) exhibited the highest rhizome yield followed by IT 36 (15.00 ton/ha), over national checks Roma (13.53 ton/ha), Suranjana (11.73 ton/ha) and over local check CG Haldi -1 (10.57 ton/ha). As per Eberhart and Russell model, the genotypes CG Haldi 2 (IT 10), CG Raigarh Haldi-3 (IT 36), Roma, and Narendra Haldi -1 were best performing entries while the performance of BSR 2, IT 38, Suranjana, CG Haldi-1, IT 7, and IT 8 were varied with change in environments. In AMMI analysis, IPCA 1 (62.60 %), IPCA 2 (21.80 %), IPCA 3 (11.70 %), and IPCA 4 (2.60 %) were explained the interaction mean squares, respectively. While, in GGE biplot, PC 1 and PC 2 captured 47.28 % and 34.62 % interaction variation, respectively. The genotypes T-111 (CG Haldi-2), T-101 (IT 36), and national check T-106 (Roma) were high yielding and as well as found stable in GGE and AMMI-1 biplot. The test environments RG 17, RG 16 and RG 15 exhibited different niches, whereas, AM 17, AM 16, JD 16, JD 17, JD 15 and AM 15 were representative with better discriminating ability. Between biplot models applied, the GGE biplots were clear in visualization for polygon view, genotypic stability and environmental discrimination. The GGE method considered both G+GE for biplot generation and found most suitable for stability analysis.