Top Grain Yield Genotypes from Kenyan Field Trials

Mean grain yield performance data for selected genotypes tested in three Kenyan environments: Kakamega, Kiboko_OPT, and Kiboko_DT. The dataset includes genotype codes, pedigree information, population characteristics, and identifiers. It was authored by Goshime Muluneh Mekasha and published on figshare in June 2026.

Use Cases

• Compare genotype performance across different environments based on mean grain yield data.
• Analyze relationships between pedigree and yield outcomes based on original population pedigree information.
• Select promising genotypes for breeding programs based on top-performing cluster selections.
• Study population characteristics and their influence on grain yield performance.

Strengths

• Data covers three distinct experimental environments, allowing for comparative analysis.
• Includes pedigree and population identifiers, providing context for genetic background.

Limitations

• Row count is unknown, which may limit suitability assessment.
• Column-level documentation is absent; field semantics must be inferred after download.
• The dataset is very small (9.5 KB), indicating limited scope.

Provenance

Source

figshare

Freshness

Last updated 2026-06-03 17:38:27; freshness should be verified.

Geography

Kenya (Kakamega, Kiboko)