Claim · model-written summary
PC2 of the GGE biplot explained 23.2 of the GGE sum of squares.
- Taxon
- bread wheat
Triticum aestivumt0 - Outcome
- GGE sum of squares (SS)e7
- Value
- 23.2e7
- Qualifier
- PC2e7
Not reportedMaterialGeneCompoundOrgan / stageInteractorInteractor roleSecond interactorSecond interactor roleTreatmentComparatorSettingDirection
Organisms pictured · Representative pictures of the matched species, not figures from the paper.
Verbatim
t0“Stability analysis of bread wheat landraces and lines”
e7“The first two principal components (PC1 and PC2) were used to create a 2-dimensional GGE biplot and explained 34.3, 23.2 of GGE sum of squares (SS), respectively”
Title
Stability analysis of bread wheat landraces and lines using biometrical genetic models
Fatemeh Bavandpori; Jafar Ahmadi; Sayyed Hossaini Genetika 2018. doi:10.2298/gensr1802449b
Other claims from this paper (10)
- Observation Genotype-by-environment interaction differences were highly significant among bread wheat genotypes.
- Observation The GEI variance was three times higher than the genotype effect.
- Observation The first two AMMI models (AMMI1-AMMI2) were highly significant (P<0.01).
- Observation Genotypes WC-47359, WC-47472 and WC-4611 had general adaptability in the Biplot AMMI2 analysis.
- Observation Genotypes WC-47388 and WC-47403 had general adaptability in the Biplot AMMI2 analysis.
- Observation Genotypes WC-47403 and WC-47472 showed the highest stability based on ASV and GSI.
- Observation The GGE biplot analysis of yield explained 57.5 percent of the total variation.
- Observation PC1 of the GGE biplot explained 34.3 of the GGE sum of squares.
- Observation Genotypes WC-47403 and PISHGAM2 had the highest mean yield and stability.
- Recommendation The best genotypes WC-47403, PISHGAM2, WC-4968, WC-47472 and WC-47528 are recommended for breeding programs.