Claim · model-written summary
Multi-environment evaluation integrating performance, stability and adaptability analyses is necessary to support site-specific cultivar recommendations.
- Outcome
- multi-environment evaluatione0
Zea maysNot reportedMaterialGeneCompoundOrgan / stageInteractorInteractor roleSecond interactorSecond interactor roleTreatmentComparatorSettingDirectionValueQualifier
Organisms pictured · Representative pictures of the matched species, not figures from the paper.
Verbatim
t0“Maize”
e0“demonstrate the necessity of multi-environment evaluation that integrates performance, stability and adaptability analyses”
Title
Katarzyna Marcinkowska; Karolina Kolańska; Konrad Banaś; et al. Agriculture 2026. doi:10.3390/agriculture16010123
Other claims from this paper (11)
- Observation Environmental effects consistently dominated all traits of silage maize, explaining 78–91% of total variation.
- Observation Genotype × environment interactions were smaller than environmental effects but significant and altered cultivar rankings.
- Observation Weed infestation ranged widely across the organic environments, from below 10% to over 90%.
- Observation Weed infestation was almost entirely environment-driven.
- Association Yield-related traits followed a strong precipitation gradient.
- Observation Pawłowice and Śrem showed the highest biomass potential.
- Observation SM Perseus produced the greatest dry matter yields, 13.53 t·ha−1.
- Observation SM Mieszko had high dry matter content, 37.73%.
- Observation SM Mieszko showed outstanding stability.
- Observation Mega-environment analysis identified distinct adaptive niches.
- Observation No genotype performed consistently best across all conditions.