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Improving Crop Yield and Nutrient Use Efficiency via Biofertilization—A Global Meta-analysis
Open accessAbstract
The application of microbial inoculants (biofertilizers) is a promising technology for future sustainable farming systems in view of rapidly decreasing phosphorus stocks and the need to more efficiently use available nitrogen (N). Various microbial taxa are currently used as biofertilizers, based on their capacity to access nutrients from fertilizers and soil stocks, to fix atmospheric nitrogen, to improve water uptake or to act as biocontrol agents. Despite the existence of a considerable knowledge on effects of specific taxa of biofertilizers, a comprehensive quantitative assessment of the performance of biofertilizers with different traits such as phosphorus solubilization and N fixation applied to various crops at a global scale is missing. We conducted a meta-analysis to quantify benefits of biofertilizers in terms of yield increase, nitrogen and phosphorus use efficiency, based on 171 peer reviewed publications that met eligibility criteria. Major findings are: (i) the superiority of biofertilizer performance in dry climates over other climatic regions (yield response: dry climate +20.0 ± 1.7%, tropical climate +14.9 ± 1.2%, oceanic climate +10.0 ± 3.7%, continental climate +8.5 ± 2.4%); (ii) meta-regression analyses revealed that yield response due to biofertilizer application was generally small at low soil P levels; efficacy increased along higher soil P levels in the order arbuscular mycorrhizal fungi (AMF), P solubilizers, and N fixers; (iii) meta-regressions showed that the success of inoculation with AMF was greater at low organic matter content and at neutral pH. Our comprehensive analysis provides a basis and guidance for proper choice and application of biofertilizers.
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Updated world map of the Köppen-Geiger climate classification
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A Nonparametric “Trim and Fill” Method of Accounting for Publication Bias in Meta-Analysis
Duval, S., & Tweedie, R. (2000) · Journal of the American Statistical Association · doi:10.1080/01621459.2000.10473905 · Cited by 2,955
Soil carbon sequestration and land‐use change: processes and potential
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Cited by
Soil microbial inoculants for sustainable agriculture: Limitations and opportunities
O'Callaghan, M., Ballard, R. A., & Wright, D. (2022) · Soil Use and Management · doi:10.1111/sum.12811 · Cited by 489
Nanotechnology and artificial intelligence to enable sustainable and precision agriculture
Zhang, P., Guo, Z., Ullah, S., Melagraki, G., Afantitis, A., & Lynch, I. (2021) · Nature Plants · doi:10.1038/s41477-021-00946-6 · Cited by 478
Harnessing the plant microbiome for sustainable crop production
Compant, S., Cassan, F., Kostić, T., Johnson, L., Brader, G., Trognitz, F., & Sessitsch, A. (2025) · Nature Reviews Microbiology · doi:10.1038/s41579-024-01079-1 · Cited by 365
Urra, J., Alkorta, I., & Garbisu, C. (2019) · Agronomy · doi:10.3390/agronomy9090542 · Cited by 312
Inoculated microbial consortia perform better than single strains in living soil: A meta-analysis
Liu, X., Mei, S., & Salles, J. F. (2023) · Applied Soil Ecology · doi:10.1016/j.apsoil.2023.105011 · Cited by 236
Metadata
- Authors
- Schütz, L., Gattinger, A., Meier, M., Müller, A., Boller, T., Mäder, P., & Mathimaran, N.
- Venue
- Frontiers in Plant Science
- Publisher
- Frontiers Media SA
- Published
- 2018-01-12
- Volume
- 8
- Pages
- 2204-2204
- ISSN
- 1664-462X (ISSN-L)
- OpenAlex
- W2782716834
- Cited by
- 436
- References
- 7
- FWCI
- 28.21
- Type
- journal article
- Language
- en
- Open access
- gold
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- Schütz, L., Gattinger, A., Meier, M., Müller, A., Boller, T., Mäder, P., & Mathimaran, N. (2018). Improving Crop Yield and Nutrient Use Efficiency via Biofertilization—A Global Meta-analysis. Frontiers in Plant Science. https://doi.org/10.3389/fpls.2017.02204
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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.