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Does diversifying crop rotations suppress weeds? A meta-analysis

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  • David Weisberger
  • Virginia Nichols
  • Matt Liebman

Abstract

Over the past half-century, crop rotations have become increasingly simplified, with whole regions producing only one or two crops in succession. Simplification is problematic from a weed management perspective, because it results in weeds’ repeated exposure to the same set of ecological and agronomic conditions. This can exacerbate weed infestations and promote the evolution of herbicide resistance. Diversifying crop rotations through addition of crop species and their associated managements may suppress weeds and reduce selection pressure for herbicide resistance by altering stress and mortality factors affecting weed dynamics. Here we report the results of a meta-analysis using 298 paired observations from 54 studies across six continents to compare weed responses due to simple and more diverse crop rotations. We found diversifying from simple rotations reduced weed density (49%), but did not have a significant effect on weed biomass. We investigated the effect of management practices, environmental factors, and rotation design on this effect. Diversification that increased the variance around crop planting dates was more effective in suppressing weeds than increasing crop species richness alone. Increasing rotational diversity reduced weed density more under zero-tillage conditions (65%) than tilled conditions (41%), and did so regardless of environmental context and auxiliary herbicide use. Our findings highlight the value of diversifying crop rotations to control weed populations, and support its efficacy under varied environmental conditions and management scenarios.

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  • David Weisberger & Virginia Nichols & Matt Liebman, 2019. "Does diversifying crop rotations suppress weeds? A meta-analysis," PLOS ONE, Public Library of Science, vol. 14(7), pages 1-12, July.
  • Handle: RePEc:plo:pone00:0219847
    DOI: 10.1371/journal.pone.0219847
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    References listed on IDEAS

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    1. Gourav Sharma & Swati Shrestha & Sudip Kunwar & Te-Ming Tseng, 2021. "Crop Diversification for Improved Weed Management: A Review," Agriculture, MDPI, vol. 11(5), pages 1-17, May.
    2. Revoyron, Eva & Le Bail, Marianne & Meynard, Jean-Marc & Gunnarsson, Anita & Seghetti, Marco & Colombo, Luca, 2022. "Diversity and drivers of crop diversification pathways of European farms," Agricultural Systems, Elsevier, vol. 201(C).
    3. Queyrel, Wilfried & Van Inghelandt, Bastien & Colas, Floriane & Cavan, Nicolas & Granger, Sylvie & Guyot, Bérénice & Reau, Raymond & Derrouch, Damien & Chauvel, Bruno & Maillot, Thibault & Colbach, Na, 2023. "Combining expert knowledge and models in participatory workshops with farmers to design sustainable weed management strategies," Agricultural Systems, Elsevier, vol. 208(C).
    4. Sánchez, Andrea C. & Kamau, Hannah N. & Grazioli, Francesca & Jones, Sarah K., 2022. "Financial profitability of diversified farming systems: A global meta-analysis," Ecological Economics, Elsevier, vol. 201(C).
    5. Bohan, David & Schmucki, Reto & Abay, Abrha & Termansen, Mette & Bane, Miranda & Charalabiis, Alice & Cong, Rong-Gang & Derocles, Stephane & Dorner, Zita & Forster, Matthieu & Gibert, Caroline & Harro, 2020. "Designing farmer-acceptable rotations that assure ecosystem service provision inthe face of climate change," MPRA Paper 112313, University Library of Munich, Germany.
    6. Mohamed Allam & Emanuele Radicetti & Verdiana Petroselli & Roberto Mancinelli, 2021. "Meta-Analysis Approach to Assess the Effects of Soil Tillage and Fertilization Source under Different Cropping Systems," Agriculture, MDPI, vol. 11(9), pages 1-16, August.
    7. Maé Guinet & Guillaume Adeux & Stéphane Cordeau & Emeric Courson & Romain Nandillon & Yaoyun Zhang & Nicolas Munier-Jolain, 2023. "Fostering temporal crop diversification to reduce pesticide use," Nature Communications, Nature, vol. 14(1), pages 1-11, December.
    8. Cavan, Nicolas & Omon, Bertrand & Dubois, Sophie & Toqué, Clotilde & Van Inghelandt, Bastien & Queyrel, Wilfried & Colbach, Nathalie & Angevin, Frédérique, 2023. "Model-based evaluation in terms of weed management and overall sustainability of cropping systems designed with three different approaches," Agricultural Systems, Elsevier, vol. 208(C).

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