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Related Experiment Video

Updated: Jul 3, 2025

Cereal Crop Ear Counting in Field Conditions Using Zenithal RGB Images

Cereal Crop Ear Counting in Field Conditions Using Zenithal RGB Images

Published on: February 2, 2019

U.S. cereal rye winter cover crop growth database.

Alexandra M Huddell^1,2, Resham Thapa³, Guillermo S Marcillo⁴

¹Department of Environmental Science & Technology, University of Maryland, College Park, MD, USA. ahuddell@udel.edu.

Scientific Data

|February 13, 2024

Summary

Cereal rye (Secale cereale) is a key winter cover crop. This study compiled extensive data on its biomass, practices, and soil conditions across the eastern US, providing valuable insights for agricultural management.

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Area of Science:

Agricultural Science
Agronomy
Ecology

Background:

Winter cover crop performance, including biomass quantity and quality, significantly influences ecosystem services.
Performance metrics vary widely due to agronomic practices, soil properties, and climate variations.
Cereal rye (Secale cereale) is widely adopted in the US for its hardiness, affordability, and biomass yield.

Purpose of the Study:

To compile a comprehensive dataset on cereal rye winter cover crop performance metrics.
To document agronomic practices, soil properties, and climate conditions associated with cereal rye.
To facilitate empirical analyses, model calibration/validation, and decision support tool development.

Main Methods:

Data compilation from various sources across the eastern United States.
Inclusion of 5,695 cereal rye biomass observations spanning 208 site-years (2001-2022).
Encompassing a broad spectrum of agronomic, soil, and climate conditions.

Main Results:

The compiled dataset covers diverse agricultural, soil, and climatic settings.
Mean cereal rye biomass was 3,428 kg/ha, with a median of 2,458 kg/ha and a standard deviation of 3,163 kg/ha.
The data represent a wide range of performance metrics under varied management and environmental conditions.

Conclusions:

The dataset provides a valuable resource for understanding cereal rye cover crop performance.
It supports empirical research, process-based model development, and informed management decisions.
This data can aid in optimizing cover crop strategies for enhanced ecosystem services.