Performance evaluation of advanced generation and stable genotypes selection using GGE biplot model in pyrethrum (Tanacetum cinerariifolium Sch. Bip.)
Raj Kishori Lal, Pankhuri Gupta and Anand Mishra
This study's aims were to determine the extent of genetic and environment interaction for dry flower yield and pyrethrins contents in the flowers, identify superior pyrethrum genotypes for yield in different years, and determine an ideal year/environment for pyrethrum breeding programmes in India. The experiments were conducted for four years, 2015-2016 to 2018-2019. Ten newly advanced generation pyrethrum genotypes and one commercial variety (CIM Avadh) were evaluated in a RBD design. A pooled analysis of variance over the environments/years was cundected for flower yield and pyrethrin contents (%). The results depicted the significant (p<0.01) differences for all the characters. The results for pyrethrins content (%) also depicted significant differences. The fresh × dry flower yield; pyrethrin I × jasmolin I (%); pyrethrin I × pyrethrins (%) were found highly and positively associated (p>0.01%) while, the traits pyrethrin II × jasmolin II and Jasmolin I × pyrethrins (%) found significant and positively associated (p>0.05%) each other across all four years/environments. Therefore, selecting these traits will be beneficial according to correlations over the selective environments/years. The biplot analysis explained the advanced generation pyrethrum genotypes G9, followed by G1, and G3 for the dry flower yield g/plot and genotypes, namely G1, followed by G4 and G3 for the pyrethrins content (%) were high yielding and stable over years/environments.