Maize Yield and Root Data from Tillage Experiments in Northeast China, 2023-2024
by Zhiguo Yin·Updated 2mo ago
1.2 MB1files
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Description
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.
Data is in PDF format; extraction to a structured format may be required for computational analysis.