In yield experiments conducted at different environments,
assessment of Genotype × Environment interactions for
investigated traits is a quite significant issue for both
agronomists and breeders. GGE biplot analysis was
employed in this study to assess the Genotype × Trait,
Environment × Trait and Trait Association × Environment
of five different traits (silage yield [SY], stem diameter
[SD], green leaf weight ratio [GLWR], green stem weight
ratio [GSWR], green corn cob ratio [GCCR] and plant
height [PH]) of 25 silage maize (
Zea mays
L.) genotypes
grown in six environments. The biplot graphs created in
this study to assess Genotype × Trait, Environment × Trait
and Environment × Trait correlation interactions were
able to explain respectively 86%, 92%, and 83% of total
variation of experiments. Current findings revealed that
the genotype G18 (Safak), with the greatest silage yield in
Genotype Trait biplot (GT biplot) also had the greatest SD;
DIY14 (DIYARBAKIR-2014) with the greatest distance
from the origin over Environment Trait (ET-biplot) graph
was the most distinctive environment; SD with the greatest
vector length was the most distinctive trait; DIY14 and
DIY15 environments were the best environments for PH,
GSWR, SY and SD. It was concluded that GGE biplot
method with different perspectives could reliably be used
in assessment of silage characteristics of maize genotypes
grown in different environments.
