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

Zhiguo Yin's dataset, published on figshare in 2026, contains results from a two-year field experiment on maize. The data compares grain yield, soil moisture, root architectural traits, and water use efficiency under three tillage practices in the black soil region of China's Songliao Plain. It is a 1.2 MB PDF file licensed under CC-BY-4.0.

Use Cases

• Modeling the relationship between fine root length and grain yield based on root diameter classes mentioned in the description.
• Comparing water use efficiency across different tillage practices based on reported water consumption and soil moisture data.
• Analyzing the impact of conservation tillage on soil moisture retention in the 0-40 cm layer during the growing season.

Strengths

• Includes two years of experimental data (2023-2024) from a defined geographic region.
• Reports specific percentage increases for key metrics, such as a 93.23%–95.22% increase in fine root length under modified strip-tillage.
• Uses structural equation modeling to analyze relationships between root traits, water use efficiency, and yield.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.
• Data is presented in a PDF format, which may require extraction to be used for analysis.

Provenance

Source

figshare, author Zhiguo Yin.

Collection Method

Two-year field experiments comparing modified strip-tillage, no-tillage, and conventional tillage practices.

Time Range

2023-2024

Freshness

Last updated 2026-04-23 04:21:32; freshness should be verified.

Geography

Black soil region of the Songliao Plain, Northeast China.