Coffea canephora Yield and Genetic Stability Data Across Four Crop Seasons

Alex Campanharo published a dataset on figshare on 2026-05-12. It contains genetic evaluation data for 44 Coffea canephora genotypes across four consecutive crop seasons from 2022 to 2025 in eastern Minas Gerais, Brazil. The analysis uses mixed linear models to assess yield stability and selection efficiency.

Use Cases

• Compare genotype performance stability based on mixed model variance-covariance structures described in the methods.
• Identify high-yield, stable genotypes for breeding programs based on predicted genotypic values and persistence indices.
• Model genotype-by-environment interactions using genetic correlation matrices that captured atypical stress events like heat in 2023.
• Calculate selection efficiency gains over multiple years based on the reported 4.4% cumulative increase.
• Estimate heritability and repeatability for yield traits in perennial crops using the provided plot-level and genotype-mean heritability metrics.

Strengths

• Data spans four consecutive crop seasons (2022–2025), providing a multi-year perspective.
• Analysis includes 44 distinct genotypes, offering a basis for comparative genetic evaluation.
• Model fit was rigorously assessed with AIC and BIC, and key genetic parameters like heritability (0.64-0.86) and selective accuracy (0.92-0.94) are reported.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.
• The dataset is small (305.6 KB), suggesting limited scope, potentially containing only summary statistics or a subset of the full trial data.

Provenance

Source

Alex Campanharo

Collection Method

Field evaluation of genotypes using mixed linear models (REML/BLUP) with alternative variance-covariance structures.

Time Range

2022 to 2025

Freshness

Last updated 2026-05-12 04:19:02; freshness should be verified.

Geography

Eastern Minas Gerais, Brazil