Pulse Brain · Growing Health Evidence Index
Tier 3 — Observational / field trialPeer-reviewedConventional

Long-Term Evidence Shows that Crop-Rotation Diversification Increases Agricultural Resilience to Adverse Growing Conditions in North America

Timothy M. Bowles, Maria Mooshammer, Yvonne Socolar, Francisco J. Calderón, Michel A. Cavigelli, Steve W. Culman, William Deen, Craig F. Drury, Axel García y García, Amélie C. M. Gaudin, W. Scott Harkcom, Richard Michael Lehman, Shannon L. Osborne, G. Philip Robertson, Jonathan Salerno, Marty R. Schmer, Jeffrey S. Strock, A. Stuart Grandy

One Earth · 2020

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Summary

This analysis of long-term crop yield data across North America demonstrates that increasing temporal crop diversification through rotation systems substantially improves maize yields whilst also buffering against adverse growing conditions. More diverse rotations increased average yields by 28.1% and reduced yield losses during drought years by 14.0%–89.9%, suggesting that agroecosystem diversity functions as both a productivity and a resilience strategy in intensive grain systems. The findings support crop rotation as a central risk-reduction strategy for grain producers facing climate variability.

Regional applicability

The study's North American focus on intensive maize systems and precipitation gradients has direct relevance to United Kingdom cereal and mixed farming systems, particularly in managing weather extremes and soil health. However, UK rotations typically differ in crop composition and climatic context; the drought-resilience benefits may be most applicable to drier regions of southern England, whilst the findings on yield stability under variable rainfall conditions are broadly transferable across UK arable regions.

Key measures

Maize yield (bushels/acre or equivalent); yield response to rotation diversity across precipitation gradients; yield loss reduction in drought years (percentage); comparison of monoculture versus diverse rotation systems

Outcomes reported

The study measured maize yields across long-term datasets spanning diverse precipitation conditions, examining how crop-rotation diversity affected yields in both favourable and unfavourable (drought) growing years. It assessed yield stability and resilience using multilevel regression analyses.

Theme
Climate & resilience
Subject
Arable cropping systems
Study type
Research
Study design
Observational cohort with multilevel regression analysis of long-term field datasets
Source type
Peer-reviewed study
Status
Published
Geography
United States
System type
Arable cereals
DOI
10.1016/j.oneear.2020.02.007
Catalogue ID
SNmvg78y1j-55frr3

Topic tags

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