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Other literature type . Article . 2021
License: CC BY
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Article . 2021 . Peer-reviewed
License: CC BY
Data sources: Crossref; NARCIS
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Data sources: Hal-Diderot
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Annual intercropping suppresses weeds: A meta-analysis

Authors: Chunfeng Gu; Lammert Bastiaans; Niels P. R. Anten; David Makowski; Wopke van der Werf;

Annual intercropping suppresses weeds: A meta-analysis

Abstract

International audience Intercropping has been advocated as an environmentally benign method to suppress weeds in agriculture. However, it is not evident from the literature what size of weed suppressive effect is achieved on average by intercropping, and how species choice and crop management affect this effect. We conducted a global metaanalysis of published data to quantify the effect of intercropping on weed biomass in annual arable intercrops grown for their final product. We searched the literature to identify all papers reporting usable experimental data and extracted 339 data records from 39 publications containing data from 76 independent experiments. Two metrics of weed suppression were defined to assess the weed suppressive effect of intercropping: the ratio of observed weed biomass in an intercrop to weed biomass in the less weed suppressive sole crop (Rweak), and the ratio of weed biomass in the intercrop to weed biomass in the more weed suppressive sole crop (Rstrong). On average, weed biomass in the intercrop was substantially and significantly (58%) lower (Rweak = 0.42) than in the less suppressive sole crop. No significant difference was found between weed biomass in the intercrop and weed biomass in the more weed suppressive sole crop, even though weed biomass tended to be slightly larger in the intercrop than in the more weed suppressive sole crop (Rstrong = 1.08). Findings were consistent across different groups of species combinations, such as maize/legume and small-grain cereal/legume intercrops. Intercrops with an additive design had stronger weed suppression than intercrops with a replacement design. In the latter, a mixed arrangement gave stronger weed suppression than a row design, while spatial arrangement did not affect weed suppressive ability in additive designs. No significant effects on weed biomass were found of simultaneous vs. relay intercropping, and of nitrogen fertilizer input. The Rweak decreased significantly with the land equivalent ratio in additive intercrops but not in replacement intercrops, while Rstrong was unrelated to LER in both designs. The results confirm that intercropping is generally a useful approach for suppressing weeds in annual crop cultivation. Further work is needed to disentangle the contributions of species density, species traits and mixing ratio to weed suppression in intercropping.

Countries
Netherlands, France, France, France
Subjects by Vocabulary

Microsoft Academic Graph classification: Cash crop Biology Crop Legume Biomass (ecology) business.industry Intercropping biology.organism_classification Agronomy Agriculture Arable land business Weed

Keywords

[SDV.SA.AGRO]Life Sciences [q-bio]/Agricultural sciences/Agronomy, Cash crops, [STAT.OT]Statistics [stat]/Other Statistics [stat.ML], [STAT.AP]Statistics [stat]/Applications [stat.AP], Ecology, PE&RC, Meta-analysis, Intercropping, Centre for Crop Systems Analysis, Animal Science and Zoology, Weeds, Crop and Weed Ecology, Agronomy and Crop Science

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    citations
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    34
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Top 10%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Average
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Top 10%
  • citations
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    34
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Top 10%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Average
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Top 10%
    Powered byBIP!BIP!
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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
34
Top 10%
Average
Top 10%
hybrid
Funded by
EC| ReMIX
Project
ReMIX
Redesigning European cropping systems based on species MIXtures
  • Funder: European Commission (EC)
  • Project Code: 727217
  • Funding stream: H2020 | RIA
Related to Research communities
Sustainable Development Solutions Network - Greece
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