Claim · model-written summary
Specific stability and adaptability should be considered when within-environment interaction is high.
- Taxon
- cotton
Gossypium hirsutumt0 - Outcome
- specific stability and adaptabilitye0
Not reportedMaterialGeneCompoundOrgan / stageInteractorInteractor roleSecond interactorSecond interactor roleTreatmentComparatorSettingDirectionValueQualifier
Organisms pictured · Representative pictures of the matched species, not figures from the paper.
Verbatim
e0“It is important to take into consideration the results of specific stability and adaptability, especially when the component of interaction within environments being higher, rather than among environments as it was evident here”
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.
- Observation Genotype stability rankings varied among models.
- 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.