36 Groundnut Genotypes Evaluated for Agro-Morphological and Quality Traits in Ethiopia

Thirty-six groundnut genotypes were evaluated during the 2023 post-rainy season under irrigation at Dire Dawa, Ethiopia. The dataset contains measurements for kernel yield, morphological traits, oil content, and oil yield, analyzed using principal component analysis and clustering. It was authored by Desu Beriso Dama and published under a CC-BY-4.0 license.

Use Cases

• Assessing genetic diversity among groundnut genotypes based on agro-morphological and quality trait measurements.
• Identifying genetically distinct parent lines for hybridization based on clustering and Euclidean distance results.
• Analyzing the contribution of specific traits to overall genetic variation using principal component analysis results.

Strengths

• Includes data on 36 distinct groundnut genotypes, providing a basis for diversity analysis.
• Analysis results, such as six principal components explaining 74.51% of variation and Euclidean distances ranging from 2.45 to 8.54, are provided.
• Specific experimental design (6 x 6 simple lattice) and location (Dire Dawa, Ethiopia) are documented.

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 at 9.5 KB, indicating limited scope.

Provenance

Source

figshare, authored by Desu Beriso Dama.

Collection Method

Data were collected from a field evaluation of genotypes in a 6 x 6 simple lattice design.

Time Range

2023 post-rainy season.

Freshness

Last updated 2026-04-30 17:48:30; freshness should be verified.

Geography

Dire Dawa, Ethiopia (research station of Haramaya University).