Univariate Stability Analysis of Genotype×Environment Interaction of Oilseed Rape Seed Yield

Abstract

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 ha‑1) were the most stable and favorable genotypes and are recommended for national release Iran.

Comparison of Ammi, Parametric and Non-Parametric Models in Identifying High-Yielding and Stable Oilseed Rape Genotypes

“…The first two principal components of standard values accounted for 70.3% (44.93% and 25.37% PCA1 and PCA2, respectively) of variation (Figure 3). Similar results have been previously reported for spring oilseed rape genotypes of Iran (Oghan et al, 2016). The principal component analysis is utilized to clarify the two concepts in the story of stability; the static (biological) and dynamic (agronomic) concepts (Becker and Leon, 1988).…”

“…Non-parametric methods have been also utilized to identify the yield stability of oilseed rape previously (Oghan et al, 2016;Pourdad et al, 2014). In the present study, non-parametric yield stability statistics were also calculated (Table 5).…”

MULTI-ENVIRONMENT TRIAL ANALYSIS BY PARAMETRIC AND NON-PARAMETRIC STABILITY PARAMETERS FOR SEED YIELD IN WINTER RAPESEED (Brassica napus L.) GENOTYPES

“…When studies conducted on the GEI for seed yield in the rapeseed are examined, it was seen that in the studies conducted by Shafii et al (1992); Wright et al (1995) Oghan et al (2016); Sharma and Sardana (2016); Lima et al (2017), the GEI was determined to be significant and various stability analyses were carried out.…”

Saepo Modi and Correlation among Statistical Methods for Measuring of Phenotypic Stability

“…Experiments over seasons and years must be carried out to test the stability of genotypes perfing certain phenotypes because rank of genotypes could be changed in differen environment due to interaction of genotype and enviroment. Test of stability was used in the important commodities such as barley (Sabaghnia et al, 2012), black spure (Khalil, 1984), Chenopodium spp (Bhargava et al, 2005), chili pepper (Syukur etal., 2014), durum wheat (Akcura et al, 2006), faba bean (Temesgen et al, 2015), field pea (Fikere et al, 2010), lentil (Dehghani et al, 2008), maize (Scapim et al, 2000), oilseed rape (Brandle and McVetty, 1988;Oghan et al, 2013), potato (Flis et al, 2014), rice (Purbokurniawan et al, 2014, Balakrishnan et al, 2016, rubber tree (Silva et al, 2014), sorghum (Adugna, 2008), sugar cane (Rea et al, 2017), sweet potato (Bacusmo et al, 1988), and vetch (Sayar et al, 2013).…”