1ICAR-Indian Institute of Maize Research, Ludhiana-141004, India
2G.B. Pant University of Agriculture and Technology, Pantnagar-263145, India
3Raj Mohini Devi College of Agriculture and Research Station, Ambikapur-497001, India
*Corresponding author e-mail: pardeep.kumar656@gmail.com
Online published on 12 August, 2020.
The multi-location testing puts emphasizes mainly on identification of new superior cultivars over commercial cultivars, while giving very less importance to genotype × environment interaction (GEI). In the present study, performances of 37 baby corn cross combinations (including three checks) were evaluated for green ear yield, baby corn yield and husk yield over three locations (environments) in kharif season of 2018. Environment (51–74%) attributed highest proportion of the total variation followed by GEI (14–29%) and genotype (12–19%). Superior stable hybrids for green ear yield, baby corn yield and husk yield could be identified using GGE biplot graphical approach effectively. ‘Which won where’ plot for each of the traits partitioned testing locations into two mega-environments with different winning genotypes for different traits in respective mega-environments. This clearly indicated that though the testing was being conducted in many locations, similar conclusions could be drawn from one or two representatives of each mega-environment. Thus the stability analysis could help to classify the stable as well as location specific baby corn hybrids.
Baby corn, Fodder, GEI, GGE biplot, Stability analysis
