Coffea canephora Yield Stability Data from Four Crop Seasons in Brazil

A dataset of 44 Coffea canephora (coffee) genotypes evaluated across four consecutive crop seasons from 2022 to 2025 in eastern Minas Gerais, Brazil. The data was analyzed using mixed linear models to assess genetic variability and yield stability. Author Alex Campanharo published the dataset on figshare in 2026.

Use Cases

• Comparing genetic evaluation models based on the seven alternative variance-covariance structures described
• Identifying high-yield, stable genotypes based on predicted genotypic values and persistence indices
• Assessing the impact of environmental stress on genetic correlations, as seen with heat stress in 2023
• Calculating heritability and selective accuracy metrics for breeding programs

Strengths

• Data spans four consecutive crop seasons (2022–2025), providing a multi-year perspective
• Analysis includes seven alternative statistical models, with the best fit identified by AIC and BIC
• Reported heritability and accuracy metrics are specific (e.g., plot-level heritability 0.64–0.68, selective accuracy 0.92–0.94)

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 very small (25.7 KB), indicating limited raw data scope

Provenance

Source

figshare

Collection Method

Field evaluation of genotypes using mixed linear models (REML/BLUP)

Time Range

2022–2025

Freshness

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

Geography

Eastern Minas Gerais, Brazil