Stability and G × E Analysis of Oil Yield of Sunflower Single Cross Hybrids In Diverse Environments

Abstract

Multi-environment trials have a fundamental role in selection of the best genotypes across different environments before its commercial release. This study was carried out to identify high-yielding stable sunflower genotypes using the graphical method of the GGE biplot. For this purpose, 11 new hybrids along with four cultivars were evaluated in a randomized complete block design with four replications across 8 environments (combination of years and locations) during 2018–2020 growing seasons. The results indicated that genotype (G), environment (E) and genotype × environment (G×E) effects were significant for oil yield. The G, E and G×E interaction effects accounted for 51.94, 9.50 and 18.67% of the total variation, respectively. Results of biplot analysis showed that the first and second principle components accounted 45.9% and 20.4%, respectively, and in total 66.3% of oil yield variance. GGE biplot analysis indicated two major mega-environments of sunflower testing locations in Iran. Based on the hypothetical ideal genotype biplot, the genotypes G3 and G5 were better than the other genotypes for oil yield and stability, and had the high general adaptation to all environments. Ranking of genotypes based on the ideal genotype from the most appropriate to most inappropriate genotypes is as follows: G5 ˃ G3 ˃ G8 ˃ G14 ˃ G6 ˃ G2 ˃ G13 ˃ G12 ˃ G10 ˃ G11 ˃ G1 ˃ G7 ˃ G4 ˃ G15 ˃ G9. Furthermore, ranking the environments based on the ideal environment introduced Sari location as the best environment. Therefore, the Sari location can be used as suitable test location for selecting superior genotypes of sunflower in Iran. Generally, our results showed the efficiency of the graphical method of the GGE biplot for selection of the genotypes that are stable, high yielding, and responsive.

Effect of Mid-Season Moisture Stress on Fatty Acid Composition of Groundnut (Arachis hypogaea L.) Genotypes

“…During rabi, 2023 non-significant interactions were found among treatments and genotypes. Obtained results are in contrary with the reports of Hashim et al[12] in groundnut.…”

“…The obtained results are in agreement with the findings of Petcu et al [18] and Ghaffar et al [15] treatments and genotypes for stearic acid. Similar non-significant interactions were reported by Hashim et al [12] in groundnut and Ghaffar et al [15] in sunflower.…”

“…acid was observed in TCGS 2024 (40.41 %) followed by K6 (32.65%) and lowest linoleic acid was recorded by TCGS 1792 (19.62%) which was statistically on par with TCGS 2333 (20.63%). Our results also concur with the published reports by Hashim et al[12], Silva et al[13] and Akcura et al[14] in groundnut. During rabi, 2023 non-significant interactions were found among treatments and genotypes.…”

“…While lowest palmitic acid was recorded in TCGS 2024 (10.00%) which was on par with TCGS 1785 (10.10%), K6 (10.15%), TCGS 1784 (10.19%), TCGS 1707 (10.58%) and TCGS 2020 (10.65%). Similar genotypic variability for palmitic acid were reported by Hashim et al [12], Silva et al [13], Akcura et al [14] in groundnut and Ghaffar et al [15] in sunflower and Joshan et al [16] in safflower. No significant interactions were found among moisture stress treatments and genotypes with regard to palmitic acid during rabi, 2022 and 2023.…”

“…Data pertaining to oleic acid composition in groundnut genotypes influenced by mid-season moisture stress were presented in Table 2 [12] and Akcura et al [14].…”