The DOI matches its Crossref record; 126 of the 126 references it cites were found in a registry or an index.
Root Phenotyping for Drought Tolerance: A Review
Open accessAbstract
Plant roots play a significant role in plant growth by exploiting soil resources via the uptake of water and nutrients. Root traits such as fine root diameter, specific root length, specific root area, root angle, and root length density are considered useful traits for improving plant productivity under drought conditions. Therefore, understanding interactions between roots and their surrounding soil environment is important, which can be improved through root phenotyping. With the advancement in technologies, many tools have been developed for root phenotyping. Canopy temperature depression (CTD) has been considered a good technique for field phenotyping of crops under drought and is used to estimate crop yield as well as root traits in relation to drought tolerance. Both laboratory and field-based methods for phenotyping root traits have been developed including soil sampling, mini-rhizotron, rhizotrons, thermography and non-soil techniques. Recently, a non-invasive approach of X-ray computed tomography (CT) has provided a break-through to study the root architecture in three dimensions (3-D). This review summarizes methods for root phenotyping. On the basis of this review, it can be concluded that root traits are useful characters to be included in future breeding programs and for selecting better cultivars to increase crop yield under water-limited environments.
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
Seed Banks and Molecular Maps: Unlocking Genetic Potential from the Wild
Tanksley, S. D., & McCouch, S. R. (1997) · Science · doi:10.1126/science.277.5329.1063 · Cited by 2,353
Root Architecture and Plant Productivity
Lynch, J. (1995) · Plant Physiology · doi:10.1104/pp.109.1.7 · Cited by 1,905
Phenomics – technologies to relieve the phenotyping bottleneck
Furbank, R. T., & Tester, M. (2011) · Trends in Plant Science · doi:10.1016/j.tplants.2011.09.005 · Cited by 1,675
Uga, Y., Sugimoto, K., Ogawa, S., Rane, J., Ishitani, M., Hara, N., Kitomi, Y., Inukai, Y., Ono, K., Kanno, N., et al. (2013) · Nature Genetics · doi:10.1038/ng.2725 · Cited by 1,611
The role of nutrient availability in regulating root architecture
López-Bucio, J., Cruz-Ramı́rez, A., & Herrera-Estrella, L. (2003) · Current Opinion in Plant Biology · doi:10.1016/s1369-5266(03)00035-9 · Cited by 1,522
Dynamics of deserts and drought in the Sahel
Charney, J. G. (1975) · Quarterly Journal of the Royal Meteorological Society · doi:10.1002/qj.49710142802 · Cited by 1,431
A Critical Evaluation of Traits for Improving Crop Yields in Water-Limited Environments
Ludlow, M. M., & Muchow, R. C. (1990) · Advances in Agronomy · doi:10.1016/s0065-2113(08)60477-0 · Cited by 1,325
Roots of the Second Green Revolution
Lynch, J. P. (2007) · Australian Journal of Botany · doi:10.1071/bt06118 · Cited by 1,282
Bengough, A. G., McKenzie, B. M., Hallett, P. D., & Valentine, T. A. (2011) · Journal of Experimental Botany · doi:10.1093/jxb/erq350 · Cited by 1,156
Tanksley, S. D. (1993) · Annual Review of Genetics · doi:10.1146/annurev.ge.27.120193.001225 · Cited by 1,025
Metadata
- Authors
- Wasaya, A., Zhang, X., Fang, Q., & Yan, Z.
- Venue
- Agronomy
- Publisher
- MDPI AG
- Published
- 2018-10-31
- Volume
- 8
- Issue
- 11
- Pages
- 241
- ISSN
- 2073-4395 (ISSN-L)
- OpenAlex
- W2898649328
- Cited by
- 334
- References
- 126
- FWCI
- 21.62
- Type
- journal article
- Language
- en
- Open access
- gold
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 Phenotyping for Drought Tolerance: A Review. https://app.cochat.ai/papers/10.3390/agronomy8110241
- The paper
- Wasaya, A., Zhang, X., Fang, Q., & Yan, Z. (2018). Root Phenotyping for Drought Tolerance: A Review. Agronomy. https://doi.org/10.3390/agronomy8110241
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.