Claim · model-written summary
The authors recommend combining univariate and multivariate stability models for selection of high yielding stable genotypes.
- Taxon
- barley
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Hordeum vulgaret0 - Outcome
- utilizing a combination of univariate and multivariate stability modelse0
Not reportedMaterialGeneCompoundOrgan / stageInteractorInteractor roleSecond interactorSecond interactor roleTreatmentComparatorSettingDirectionValueQualifier
Organisms pictured · Representative pictures of the matched species, not figures from the paper.
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Verbatim
e0“utilizing a combination of univariate and multivariate stability models to assess genotype stability comprehensively and select “ideal genotypes” that offer both high yield potential and stability”
t0“barley”
Title
Ammar Elakhdar; Ahmed A. El-Naggar; Sally El-Wakeell; et al. BMC Plant Biology 2025. doi:10.1186/s12870-024-05530-6
Other claims from this paper (9)
- Observation Environment explained 81.3% of yield variation.
- Observation Genotype and genotype by environment interaction explained 18.6% of yield variation.
- Method / resource The GGE biplot grouped environments into five groups and genotypes into six groups.
- Observation Eight barley genotypes had mean grain yield above the overall mean of 4.43 tons ha − 1.
- Association Grain yield correlated positively with several univariate stability parameters.
- Association Grain yield correlated significantly with nonparametric stability measures.
- Observation G32, G1, and G27 showed minimal yield variation across environments and were judged most stable.
- Observation G15 had high stability under multivariate measures.
- Observation G13, G7, and G9 followed G15 in multivariate stability.