Plant Phenotype Statistical Test Results with Seed Mass Covariate

5.5 KB of statistical test results from a factorial general linear mixed model analysis of plant traits. The dataset, authored by Arezoo Fani and last updated in May 2026, includes F ratios and p-values for the effects of average parental seed mass and its interaction with offspring treatment on total height, flower number, leaf width, and pistil length.

Use Cases

• Assessing the effect of parental seed mass as a covariate on offspring phenotypes based on the described model.
• Evaluating the interaction between seed mass and offspring treatment on traits like pistil length based on the reported F ratios.
• Comparing statistical results for multiple traits (height, flower number, leaf width) under an expanded model structure.
• Replicating or meta-analyzing the statistical methodology for factorial general linear mixed models in ecological studies.

Strengths

• Statistical results are explicitly quantified with F ratios and p-values for four distinct plant traits.
• Model structure is clearly described, including the addition of a continuous covariate (seed mass) and its interaction.
• Dataset is small (5.5 KB), facilitating quick download and inspection.

Limitations

• Row count is unknown, which may limit suitability assessment.
• Column-level documentation is absent; field semantics must be inferred after download.
• Description metadata is limited; actual data quality requires manual inspection after download.

Provenance

Source

figshare

Collection Method

Results from a factorial general linear mixed model fit applied to experimental data.

Freshness

Last updated 2026-05-15 17:44:59; freshness should be verified.