Maize Genotype Resistance and Agronomic Trait Scores 2022-2023

Observations from 2022 and 2023 field trials assess fall armyworm and corn earworm damage on maize genotypes. The dataset includes categorical 1-9 scale scores for leaf damage, plant aspect, ear aspect, seed set, and ear rot, plus continuous ear damage measurements in mm. It contains the raw data and R code for reproducing Bayesian statistical models from the associated study.

Use Cases

• Compare genotype resistance by analyzing leaf damage and ear damage scores across the 2022 and 2023 trial years.
• Model the relationship between agronomic quality traits like plant aspect, ear aspect, seed set, and ear rot using the provided pre-fit Bayesian models.
• Reproduce statistical outputs for genotype mean comparisons using the included R scripts and the entry and genotype identifier columns.
• Apply the hurdle Gamma model from the provided code to analyze the continuous ear damage variable measured in mm.

Strengths

• Includes raw data and complete R code for full reproducibility of the published statistical analysis.
• Contains pre-fit model objects (RDS files) for six key traits, allowing immediate generation of results without computational refitting.
• Data spans two growing years (2022 and 2023) with three replicate plots per genotype each year.

Limitations

• The exact number of rows (observations) and columns (features) is not specified in the provided metadata.
• Agronomic quality assessments (plant aspect, ear aspect, seed set, ear rot) are only available for the 2022 trial year.
• The dataset is specific to the genotypes and conditions of this study, limiting direct geographic generalizability.

Provenance

Source

Department of Agriculture

Collection Method

Field trial observations from three replicate plots per maize genotype, with plants scored for insect damage and agronomic traits.

Time Range

2022 to 2023

Freshness

Data covers trials through 2023; metadata was last updated in early 2026.