Thirteen stability statistics were used to analyze genotype × environment (GE) interaction of 36 canola
genotypes. Combined analysis of variance indicated that GE interaction significantly influenced
seed yield performance. According to Type I stability concept (environmental variance, coefficient
of variation and stability variance) genotypes G7, G9 and G13 were the most stable genotypes, while
based on the Type II concept (coefficients of three linear regression models), genotypes G33, G27
and G29 could be selected as the most favorable genotypes. Also, genotype G7 was the most favorable
genotype according to Type III stability concept (deviation from linear regression method). Genotypes
clustering based on stability properties and mean yield grouped them into three distinct classes.
Coefficient of determination for the canola genotypes indicated that genotypes G27 and G33 were
the most stable genotypes but the genotypes G1, G10 and G25 had the highest desirability index and
were the most stable ones. The plot of principal component analysis was used for graphic display of
the relationships among statistics and the first axis distinguished the Type II of stability concept from
other types and mean yield groups near this stability type. However, based on most statistics and mean
yield performance, genotypes G9 or Fanaei‑6 (2592.47 kg ha‑1), G11 or Fanaei‑14 (2592.47 kg ha−1
),
G12 Fanaei‑15 or (2592.47 kg ha‑1) and G19 or Dez‑7169 (2592.47 kg