Maize Yield and Root Data from Tillage Experiments in Northeast China, 2023-2024

Field experiment data from a two-year study (2023–2024) in the black soil region of China's Songliao Plain. The dataset, authored by Zhiguo Yin, compares maize grain yield, soil moisture, root architecture, and water use efficiency under modified strip-tillage, no-tillage, and conventional tillage practices. It likely contains tabular results showing percentage changes in yield, root length, and soil moisture.

Use Cases

• Modeling the relationship between tillage practices and crop yield based on reported grain yield increases.
• Analyzing root architectural plasticity and its impact on water uptake based on fine root length and root density metrics.
• Comparing water use efficiency across different agricultural management techniques based on reported water consumption and efficiency figures.
• Training models to predict soil moisture retention from conservation tillage methods based on soil moisture percentage changes in the 0–40 cm layer.

Strengths

• Data is derived from a two-year (2023–2024) field experiment, providing temporal replication.
• Results include specific percentage changes, such as a 93.23%–95.22% increase in fine root length under modified strip-tillage.
• The dataset has a clear, open license (CC-BY-4.0) facilitating reuse.

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 (12.1 KB), indicating a limited scope, likely summary results rather than raw observational data.

Provenance

Source

figshare, authored by Zhiguo Yin.

Collection Method

Two-year field experiments comparing tillage practices.

Time Range

2023–2024

Freshness

Last updated 2026-04 04:21:34; freshness should be verified.

Geography

Black soil region of the Songliao Plain, Northeast China.