Claim · model-written summary
Genotype stability rankings varied among models.
- Taxon
- cotton
Gossypium hirsutumt0 - Outcome
- Ranks of stable genotype and magnitude of stability measuremente0
Not reportedMaterialGeneCompoundOrgan / stageInteractorInteractor roleSecond interactorSecond interactor roleTreatmentComparatorSettingDirectionValueQualifier
Organisms pictured · Representative pictures of the matched species, not figures from the paper.
Verbatim
e0“Ranks of stable genotype and magnitude of stability measurement varied with each model”
t0“Cotton”
Title
Abdalla Abdalla; A Abdalla #; D Elkadi; et al. Egyptian Journal of Agronomy 2014. doi:10.21608/agro.2014.81
Other claims from this paper (19)
- Observation Environmental, genotype and interaction main effects were highly significant.
- Observation Environment accounted for 65.30% of the reported sum of squares.
- Observation Genotypes accounted for 10.6% of the reported sum of squares.
- Observation Genotype by environment interaction accounted for 24.1% of the reported sum of squares.
- Method / resource Pattern analysis clustered environments and genotypes.
- Method / resource The joint regression line explained 7.65% of the interaction.
- Observation Most genotype environment interaction was deviation from the regression line.
- Method / resource The first principal component accounted for 36.45% of GE interaction and was significant.
- Method / resource The second principal component accounted for 19.5% of GE interaction.
- Method / resource AMMI-1 and AMMI-2 were informative for the main effects and interaction.
- Method / resource AMMI surpassed joint regression in predictive ability and explanation of GE sums of squares.
- Method / resource AMMI identified specifically stable genotypes and discriminative environments.
- Association Regression and deviation coefficients were not significantly correlated with mean performance.
- Association IPCA1 was significantly correlated with mean performance.
- Association ASV was highly correlated with regression deviation and Tai coefficients.
- Association Regression and deviation coefficients were positively correlated.
- Method / resource AMMI grouped E2 and E6, E9 and E10, and E4 and E7 as mega environments.
- Recommendation Five named genotypes showed average stability and were proposed for yield and stability improvement.
- Recommendation Specific stability and adaptability should be considered when within-environment interaction is high.