Morrow Plots Infographic

Sandi Lee Caldrone

Morrow Plots Infographic

University Library

Research output: Non-textual form › Digital or Visual Products

Abstract

The Morrow Plots, the oldest experimental crop field in the Americas, has evolved over time since it was established in 1876. This infographic visualizes changes to plot divisions, crops grown, the rotation schedule and the key phases of the experiment, plus a timeline of historic markers for additional context.

Original language	English (US)
Publisher	University of Illinois Urbana-Champaign
State	Published - Sep 6 2022

Keywords

agriculture
Illinois
Morrow Plots
experimental fields
crops
crop science

Online availability

https://hdl.handle.net/2142/114466

Library availability

Discover UIUC Full Text

1 Conference contribution

Cultivating the Scientific Data of the Morrow Plots: Visualization and Data Curation for a Long-Term Agricultural Experiment
Anderson, B. G., Caldrone, S. L., Henry, J., Luong, H., Imker, H. J., Trei, K. J. & Williams, S. C., Nov 3 2022, iPRES 2022 - Book of Proceedings of the 18th International Conference on Digital Preservation - Glasgow. Puggioni, A. (ed.). p. 202-207
Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Open Access

Cite this

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title = "Morrow Plots Infographic",

abstract = "The Morrow Plots, the oldest experimental crop field in the Americas, has evolved over time since it was established in 1876. This infographic visualizes changes to plot divisions, crops grown, the rotation schedule and the key phases of the experiment, plus a timeline of historic markers for additional context.",

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author = "Caldrone, {Sandi Lee}",

year = "2022",

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KW - agriculture

KW - Illinois

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KW - experimental fields

KW - crops

KW - crop science

M3 - Digital or Visual Products

PB - University of Illinois Urbana-Champaign

ER -

Morrow Plots Infographic

Abstract

Keywords

Online availability

Library availability

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Research output

Cultivating the Scientific Data of the Morrow Plots: Visualization and Data Curation for a Long-Term Agricultural Experiment

Cite this