Potato Yield and Tuber Quality Under Acidic Soil Nutrient Management in Kenya

Field experiment data from two cropping seasons (2024 short rains and 2025 long rains) evaluates integrated nutrient management effects on potato production. The dataset includes yield components, specific gravity, tuber dry matter content, and starch estimates under different treatments. It was authored by Emmanuel Mwakidoshi and is available in XLSX format.

Use Cases

• Analyze the relationship between nutrient management treatments and potato yield components to identify optimal fertilization strategies.
• Model tuber quality metrics like specific gravity and dry matter content as functions of applied nutrient regimes.
• Compare starch estimates and agronomic parameters across the 2024 and 2025 cropping seasons to assess seasonal variability.
• Evaluate the impact of integrated organic and inorganic nutrient management on potato production under acidic soil conditions.

Strengths

• Data covers two distinct cropping seasons (2024 short rains and 2025 long rains), providing seasonal comparison.
• Includes multiple tuber quality metrics: specific gravity, dry matter content, and starch estimates.
• Explicitly focuses on a specific agronomic challenge: potato farming under acidic soil conditions in Kenya.
• Published under a permissive CC BY 4.0 license for open reuse.

Limitations

• The dataset is very small at 15.5 KB, indicating limited scope and likely a low number of experimental observations.
• Unknown row and column counts prevent assessment of dataset scale and feature dimensionality.
• Geographic scope is limited to a specific experimental context in Kenya, limiting generalizability.

Provenance

Source

Emmanuel Mwakidoshi via figshare.

Collection Method

Data collected from a field experiment.

Time Range

Covers the 2024 short rains and 2025 long rains cropping seasons.

Freshness

Last updated on 2026-03-23, indicating recent availability.

Geography

Kenya.