The DOI matches its Crossref record; 37 of the 37 references it cites were found in a registry or an index.
Plant responses to multifactorial stress combination
Open accessAbstract
Summary: Human activity is causing a global change in plant environment that includes a significant increase in the number and intensity of different stress factors. These include combinations of multiple abiotic and biotic stressors that simultaneously or sequentially impact plants and microbiomes, causing a significant decrease in plant growth, yield and overall health. It was recently found that with the increasing number and complexity of stressors simultaneously impacting a plant, plant growth and survival decline dramatically, even if the level of each individual stress, involved in such ‘multifactorial stress combination’, is low enough not to have a significant effect. Here we highlight this new concept of multifactorial stress combination and discuss its importance for our efforts to develop climate change‐resilient crops.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Climate Trends and Global Crop Production Since 1980
Lobell, D. B., Schlenker, W., & Costa-Roberts, J. (2011) · Science · doi:10.1126/science.1204531 · Cited by 4,546
Abiotic stress, the field environment and stress combination
Mittler, R. (2006) · Trends in Plant Science · doi:10.1016/j.tplants.2005.11.002 · Cited by 3,083
Self-citationA meta-analysis of crop yield under climate change and adaptation
Challinor, A. J., Watson, J., Lobell, D. B., Howden, S. M., Smith, D. R., & Chhetri, N. (2014) · Nature Climate Change · doi:10.1038/nclimate2153 · Cited by 2,333
Insect decline in the Anthropocene: Death by a thousand cuts
Wagner, D. L., Grames, E. M., Forister, M. L., Berenbaum, M. R., & Stopak, D. (2021) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.2023989118 · Cited by 1,934
Rizhsky, L., Liang, H., Shuman, J., Shulaev, V., Davletova, S., & Mittler, R. (2004) · Plant Physiology · doi:10.1104/pp.103.033431 · Cited by 1,729
Self-citationGenetic strategies for improving crop yields
Bailey-Serres, J., Parker, J. E., Ainsworth, E. A., Oldroyd, G. E. D., & Schroeder, J. I. (2019) · Nature · doi:10.1038/s41586-019-1679-0 · Cited by 1,506
Genetic Engineering for Modern Agriculture: Challenges and Perspectives
Mittler, R., & Blumwald, E. (2010) · Annual Review of Plant Biology · doi:10.1146/annurev-arplant-042809-112116 · Cited by 1,135
Self-citationZandalinas, S. I., Fritschi, F. B., & Mittler, R. (2021) · Trends in Plant Science · doi:10.1016/j.tplants.2021.02.011 · Cited by 1,122
Self-citationThe Combined Effect of Drought Stress and Heat Shock on Gene Expression in Tobacco
Rizhsky, L., Liang, H., & Mittler, R. (2002) · Plant Physiology · doi:10.1104/pp.006858 · Cited by 1,113
Self-citationMeta-analysis of the impacts of global change factors on soil microbial diversity and functionality
Zhou, Z., Wang, C., & Luo, Y. (2020) · Nature Communications · doi:10.1038/s41467-020-16881-7 · Cited by 922
Cited by
Napier, J. D., Heckman, R. W., & Juenger, T. E. (2023) · The Plant Cell · doi:10.1093/plcell/koac322 · Cited by 158
Metadata
- Authors
- Zandalinas, S. I., & Mittler, R.
- Venue
- New Phytologist
- Publisher
- Wiley
- Published
- 2022-03-26
- Volume
- 234
- Issue
- 4
- Pages
- 1161-1167
- ISSN
- 0028-646X (ISSN-L)
- 1469-8137
- OpenAlex
- W4220934443
- Cited by
- 499
- References
- 37
- FWCI
- 42.76
- Type
- journal article
- Language
- en
- Open access
- bronze
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Plant responses to multifactorial stress combination. https://app.cochat.ai/papers/10.1111/nph.18087
- The paper
- Zandalinas, S. I., & Mittler, R. (2022). Plant responses to multifactorial stress combination. New Phytologist. https://doi.org/10.1111/nph.18087
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.
