The DOI matches its Crossref record; 69 of the 69 references it cites were found in a registry or an index.
Genetic and genomic tools to improve drought tolerance in wheat
Open accessAbstract
Tolerance to drought is a quantitative trait, with a complex phenotype, often confounded by plant phenology. Breeding for drought tolerance is further complicated since several types of abiotic stress, such as high temperatures, high irradiance, and nutrient toxicities or deficiencies can challenge crop plants simultaneously. Although marker-assisted selection is now widely deployed in wheat, it has not contributed significantly to cultivar improvement for adaptation to low-yielding environments and breeding has relied largely on direct phenotypic selection for improved performance in these difficult environments. The limited success of the physiological and molecular breeding approaches now suggests that a careful rethink is needed of our strategies in order to understand better and breed for drought tolerance. A research programme for increasing drought tolerance of wheat should tackle the problem in a multi-disciplinary approach, considering interaction between multiple stresses and plant phenology, and integrating the physiological dissection of drought-tolerance traits and the genetic and genomics tools, such as quantitative trait loci (QTL), microarrays, and transgenic crops. In this paper, recent advances in the genetics and genomics of drought tolerance in wheat and barley are reviewed and used as a base for revisiting approaches to analyse drought tolerance in wheat. A strategy is then described where a specific environment is targeted and appropriate germplasm adapted to the chosen environment is selected, based on extensive definition of the morpho-physiological and molecular mechanisms of tolerance of the parents. This information was used to create structured populations and develop models for QTL analysis and positional cloning.
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
Understanding plant responses to drought—from genes to the whole plant.
Chaves, M. M., Maroco, J. P., & Pereira, J. S. (2003) · Functional Plant Biology · doi:10.1071/fp02076 · Cited by 3,845
Yamaguchi-Shinozaki, K., & Shinozaki, K. (2006) · Annual Review of Plant Biology · doi:10.1146/annurev.arplant.57.032905.105444 · Cited by 2,950
Gene networks involved in drought stress response and tolerance
Shinozaki, K., & Yamaguchi-Shinozaki, K. (2006) · Journal of Experimental Botany · doi:10.1093/jxb/erl164 · Cited by 2,632
Breeding Technologies to Increase Crop Production in a Changing World
Tester, M., & Langridge, P. (2010) · Science · doi:10.1126/science.1183700 · Cited by 2,322
Self-citationThe effect of drought and heat stress on reproductive processes in cereals
BARNABÁS, B., JÄGER, K., & FEHÉR, A. (2008) · Plant, Cell & Environment · doi:10.1111/j.1365-3040.2007.01727.x · Cited by 2,066
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
Blum, A. (2005) · Australian Journal of Agricultural Research · doi:10.1071/ar05069 · Cited by 1,477
Plant Breeding for Stress Environments
Blum, A. (2018) · doi:10.1201/9781351075718 · Cited by 1,309 · cited 1×
“A short life cycle is particularly advantageous in environments with terminal drought stress or where physical or chemical barriers inhibit root growth (Turner, 1986; Blum, 1988; Bidinger and Witcombe, 1989).”
BackgroundPlant breeding and drought in C3 cereals: What should we breed for?
ARAUS, J. L. (2002) · Annals of Botany · doi:10.1093/aob/mcf049 · Cited by 1,243 · cited 1×
“Breeding for a shortened crop life cycle has been a very successful strategy in Mediterranean conditions (Araus et al. , 2002).”
BackgroundMultiple trait analysis of genetic mapping for quantitative trait loci.
Jiang, C., & Zeng, Z. B. (1995) · Genetics · doi:10.1093/genetics/140.3.1111 · Cited by 827
Cited by
Plant xylem hydraulics: What we understand, current research, and future challenges
Venturas, M. D., Sperry, J. S., & Hacke, U. G. (2017) · Journal of Integrative Plant Biology · doi:10.1111/jipb.12534 · Cited by 487
Stressed food – The impact of abiotic environmental stresses on crop quality
Wang, Y., & Frei, M. (2011) · Agriculture, Ecosystems & Environment · doi:10.1016/j.agee.2011.03.017 · Cited by 411
Saikia, J., Sarma, R. K., Dhandia, R., Yadav, A., Bharali, R., Gupta, V. K., & Saikia, R. (2018) · Scientific Reports · doi:10.1038/s41598-018-21921-w · Cited by 346
Phenotyping for drought tolerance in grain crops: when is it useful to breeders?
Passioura, J. B. (2012) · Functional Plant Biology · doi:10.1071/fp12079 · Cited by 306
Chenu, K., Deihimfard, R., & Chapman, S. C. (2013) · New Phytologist · doi:10.1111/nph.12192 · Cited by 293
Metadata
- Authors
- Fleury, D., Jefferies, S., Kuchel, H., & Langridge, P.
- Venue
- Journal of Experimental Botany
- Publisher
- Oxford University Press (OUP)
- Published
- 2010-06-04
- Volume
- 61
- Issue
- 12
- Pages
- 3211-3222
- ISSN
- 0022-0957 (ISSN-L)
- 1460-2431
- OpenAlex
- W2141971234
- Cited by
- 549
- References
- 69
- FWCI
- 30.20
- 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: Genetic and genomic tools to improve drought tolerance in wheat. https://app.cochat.ai/papers/10.1093/jxb/erq152
- The paper
- Fleury, D., Jefferies, S., Kuchel, H., & Langridge, P. (2010). Genetic and genomic tools to improve drought tolerance in wheat. Journal of Experimental Botany. https://doi.org/10.1093/jxb/erq152
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.