The DOI matches its Crossref record; 81 of the 81 references it cites were found in a registry or an index.
Root phenotypes for improved nutrient capture: an underexploited opportunity for global agriculture
Abstract
Summary: Nutrient‐efficient crops are a solution to the two grand challenges of modern agriculture: improving food security while reducing environmental impacts. The primary challenges are (1) nitrogen (N) and phosphorus (P) efficiency; (2) potassium (K), calcium (Ca), and magnesium (Mg) efficiency for acid soils; and (3) iron (Fe) and zinc (Zn) efficiency for alkaline soils. Root phenotypes are promising breeding targets for each of these. The Topsoil Foraging ideotype is beneficial for P capture and should also be useful for capture of K, Ca, and Mg in acid soils. The Steep, Cheap, and Deep ideotype for subsoil foraging is beneficial for N and water capture. Fe and Zn capture can be improved by targeting mechanisms of metal mobilization in the rhizosphere. Root hairs and phenes that reduce the metabolic cost of soil exploration should be prioritized in breeding programs. Nutrient‐efficient crops should provide benefits at all input levels. Although our current understanding is sufficient to deploy root phenotypes for improved nutrient capture in crop breeding, this complex topic does not receive the resources it merits in either applied or basic plant biology. Renewed emphasis on these topics is needed in order to develop the nutrient‐efficient crops urgently needed in global agriculture.
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
Elser, J. J., Bracken, M. E. S., Cleland, E. E., Gruner, D. S., Harpole, W. S., Hillebrand, H., Ngai, J. T., Seabloom, E. W., Shurin, J. B., & Smith, J. E. (2007) · Ecology Letters · doi:10.1111/j.1461-0248.2007.01113.x · Cited by 4,574
Phosphorus acquisition and use: critical adaptations by plants for securing a nonrenewable resource
Vance, C. P., Uhde‐Stone, C., & Allan, D. L. (2003) · New Phytologist · doi:10.1046/j.1469-8137.2003.00695.x · Cited by 3,014
Hinsinger, P. (2001) · Plant and Soil · doi:10.1023/a:1013351617532 · Cited by 2,670
White, P. J., & Broadley, M. R. (2009) · New Phytologist · doi:10.1111/j.1469-8137.2008.02738.x · Cited by 2,178
Enrichment of cereal grains with zinc: Agronomic or genetic biofortification?
Cakmak, I. (2008) · Plant and Soil · doi:10.1007/s11104-007-9466-3 · Cited by 2,166
Agroecosystems, Nitrogen-use Efficiency, and Nitrogen Management
Cassman, K. G., Dobermann, A., & Walters, D. T. (2002) · AMBIO: A Journal of the Human Environment · doi:10.1579/0044-7447-31.2.132 · Cited by 1,777
Root traits contributing to plant productivity under drought
Comas, L. H., Becker, S. R., Cruz, V. M. V., Byrne, P. F., & Dierig, D. A. (2013) · Frontiers in Plant Science · doi:10.3389/fpls.2013.00442 · Cited by 1,579
Soil Nutrient Bioavailability—A Mechanistic Approach
KAMPRATH, E. J. (1985) · Soil Science · doi:10.1097/00010694-198508000-00012 · Cited by 1,576
Nutrient Imbalances in Agricultural Development
Vitousek, P. M., Naylor, R., Crews, T., David, M. B., Drinkwater, L. E., Holland, E., Johnes, P. J., Katzenberger, J., Martinelli, L. A., Matson, P. A., et al. (2009) · Science · doi:10.1126/science.1170261 · Cited by 1,445
Steep, cheap and deep: an ideotype to optimize water and N acquisition by maize root systems
Lynch, J. P. (2013) · Annals of Botany · doi:10.1093/aob/mcs293 · Cited by 1,385
Self-citation
Metadata
- Authors
- Lynch, J. P.
- Venue
- New Phytologist
- Publisher
- Wiley
- Published
- 2019-03-21
- Volume
- 223
- Issue
- 2
- Pages
- 548-564
- ISSN
- 0028-646X (ISSN-L)
- 1469-8137
- OpenAlex
- W2911550841
- Cited by
- 774
- References
- 81
- FWCI
- 47.50
- Type
- journal article
- Language
- en
- Open access
- closed
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: Root phenotypes for improved nutrient capture: an underexploited opportunity for global agriculture. https://app.cochat.ai/papers/10.1111/nph.15738
- The paper
- Lynch, J. P. (2019). Root phenotypes for improved nutrient capture: an underexploited opportunity for global agriculture. New Phytologist. https://doi.org/10.1111/nph.15738
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.
