Claim · model-written summary
Genotype, environment and their interaction significantly affected grain yield.
Zea maysNot reportedMaterialGeneCompoundOrgan / stageInteractorInteractor roleSecond interactorSecond interactor roleTreatmentComparatorDirectionQualifier
Organisms pictured · Representative pictures of the matched species, not figures from the paper.
Verbatim
e0“Combined analysis of variance indicated that genotypic main effect (G), environmental main effect (E), and genotype by environment interaction were highly significant ( p < 0.0001) for grain yield.”
t0“maize”
Title
Alison Uberti; Wemerson Mendonça Rezende; Diego Gonçalves Caixeta; et al. Crop Science 2023. doi:10.1002/csc2.20964
Other claims from this paper (9)
- Observation Environment accounted for 42% of total variation in both hybrids and populations.
- Observation Environments were more similar within seasons than between seasons, especially for populations.
- Observation Low nitrogen stress mattered to hybrid evaluation, especially under drought.
- Method / resource GGE biplot gave more accurate grouping and selection information than Eberhart and Russell.
- Method / resource HMRPGV ranked hybrids and populations for mean yield and stability, penalizing low stability.
- Recommendation The authors recommend GGE biplot and HMRPGV for multi-environment genotype evaluation.
- Observation 92V2144 and 92V2033 were most promising for favorable environments.
- Observation 92V2141, 92V2153 and 92V2137 were most promising for unfavorable environments.
- Observation 92VX033 and 92VX043 were broadly adapted stable populations.