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Cited by 911

The DOI matches its Crossref record; 58 of the 58 references it cites were found in a registry or an index.

Harnessing rhizosphere microbiomes for drought-resilient crop production

Open access
de Vries, Franciska T., Griffiths, Rob I., Knight, Christopher G., Nicolitch, Oceane, Williams, Alex·2020·Science

Abstract

Root-associated microbes can improve plant growth, and they offer the potential to increase crop resilience to future drought. Although our understanding of the complex feedbacks between plant and microbial responses to drought is advancing, most of our knowledge comes from non-crop plants in controlled experiments. We propose that future research efforts should attempt to quantify relationships between plant and microbial traits, explicitly focus on food crops, and include longer-term experiments under field conditions. Overall, we highlight the need for improved mechanistic understanding of the complex feedbacks between plants and microbes during, and particularly after, drought. This requires integrating ecology with plant, microbiome, and molecular approaches and is central to making crop production more resilient to our future climate.

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Integrity signals

Registry

Crossref · 10.1126/science.aaz5192

Cites

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Metadata

Authors
de Vries, F. T., Griffiths, R. I., Knight, C. G., Nicolitch, O., & Williams, A.
Venue
Science
Published
2020-04-17
Volume
368
Issue
6488
Pages
270-274
ISSN
  • 0036-8075 (ISSN-L)
  • 1095-9203
OpenAlex
W3016944732
Cited by
911
References
58
FWCI
64.59
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Harnessing rhizosphere microbiomes for drought-resilient crop production. https://app.cochat.ai/papers/10.1126/science.aaz5192
The paper
de Vries, F. T., Griffiths, R. I., Knight, C. G., Nicolitch, O., & Williams, A. (2020). Harnessing rhizosphere microbiomes for drought-resilient crop production. Science. https://doi.org/10.1126/science.aaz5192

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.