Maize Genotypes Evaluated for Yield and Carbon Storage in Southern Africa

Forty-five maize genotypes were evaluated for agronomic performance and carbon storage capacity across two South African sites during the 2022/23 growing season. The study recorded traits including plant height, grain yield, biomass components, and carbon stocks, identifying superior genotypes for breeding. The dataset was authored by Maltase Mutanda and shared under a CC-BY-4.0 license.

Use Cases

• Identify high-yielding maize genotypes based on grain yield and biomass measurements.
• Select genotypes for carbon sequestration breeding programs based on root, shoot, and grain carbon stock data.
• Analyze correlations between agronomic traits like plant height and grain yield.
• Perform principal component analysis to understand key contributors to carbon sequestration from the listed carbon stock variables.

Strengths

• Data covers 45 distinct maize genotypes, providing a basis for genetic variation analysis.
• Includes measurements for 11 specific agronomic and carbon-related traits as listed in the description.
• Experimental design used a 5 x 9 alpha lattice across two sites, suggesting structured field trials.

Limitations

• The dataset is very small at 32.2 KB, indicating limited scope.
• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment for statistical modeling.

Provenance

Source

figshare, author Maltase Mutanda

Collection Method

Field evaluation using a 5 x 9 alpha lattice design.

Time Range

2022/23 growing season

Freshness

Last updated 2026-04-30 04:21:10; freshness should be verified.

Geography

Two sites in South Africa, southern Africa