The DOI matches its Crossref record; 7 of the 7 references it cites were found in a registry or an index.
Translational research impacting on crop productivity in drought-prone environments
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Citations
Cites
Plant Breeding for Stress Environments
Blum, A. (2018) · doi:10.1201/9781351075718 · Cited by 1,309 · cited 1×
“Nonetheless, measurements associated with stomatal conductance, such as canopy temperature (CT), provide indirect indicators of water uptake by roots [27].”
BackgroundSix, J., Ogle, S. M., Jay breidt, F., Conant, R. T., Mosier, A. R., & Paustian, K. (2004) · Global Change Biology · doi:10.1111/j.1529-8817.2003.00730.x · Cited by 878
Engineering drought tolerance in plants: discovering and tailoring genes to unlock the future
Umezawa, T., Fujita, M., Fujita, Y., Yamaguchi-Shinozaki, K., & Shinozaki, K. (2006) · Current Opinion in Biotechnology · doi:10.1016/j.copbio.2006.02.002 · Cited by 802
Steele, K. A., Price, A. H., Shashidhar, H. E., & Witcombe, J. R. (2006) · Theoretical and Applied Genetics · doi:10.1007/s00122-005-0110-4 · Cited by 370
Welcker, C., Boussuge, B., Bencivenni, C., Ribaut, J.-M., & Tardieu, F. (2006) · Journal of Experimental Botany · doi:10.1093/jxb/erl227 · Cited by 174 · cited 1×
“Importantly, during the selection phase MAS reduces or eliminates the constraints associated with difficult-to-phenotype traits such as root architecture [31], osmotic adjustment [32], growth rate [57 ], and WSC translocation [54].”
BackgroundMapping As You Go: An Effective Approach for Marker‐Assisted Selection of Complex Traits
Podlich, D. W., Winkler, C. R., & Cooper, M. (2004) · Crop Science · doi:10.2135/cropsci2004.1560 · Cited by 169
Gene-to-phenotype models and complex trait genetics
Cooper, M., Podlich, D. W., & Smith, O. S. (2005) · Australian Journal of Agricultural Research · doi:10.1071/ar05154 · Cited by 104
Cited by
Quantitative Trait Loci and Crop Performance under Abiotic Stress: Where Do We Stand?: Table I.
Collins, N. C., Tardieu, F., & Tuberosa, R. (2008) · PLANT PHYSIOLOGY · doi:10.1104/pp.108.118117 · Cited by 559
Self-citationLopes, M. S., & Reynolds, M. P. (2010) · Functional Plant Biology · doi:10.1071/fp09121 · Cited by 435
Self-citationPhenotyping 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
Genetic analysis of abiotic stress tolerance in crops
Roy, S. J., Tucker, E. J., & Tester, M. (2011) · Current Opinion in Plant Biology · doi:10.1016/j.pbi.2011.03.002 · Cited by 264
Kyratzis, A. C., Skarlatos, D. P., Menexes, G. C., Vamvakousis, V. F., & Katsiotis, A. (2017) · Frontiers in Plant Science · doi:10.3389/fpls.2017.01114 · Cited by 134
Metadata
- Authors
- Reynolds, M., & Tuberosa, R.
- Venue
- Current Opinion in Plant Biology
- Publisher
- Elsevier BV
- Published
- 2008-04
- Volume
- 11
- Issue
- 2
- Pages
- 171-179
- ISSN
- 1369-5266 (ISSN-L)
- OpenAlex
- W2016080566
- Cited by
- 346
- References
- 7
- FWCI
- 1.45
- Type
- journal article
- Language
- en
- Open access
- closed
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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.
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- CoChat. (2026). Citation check: Translational research impacting on crop productivity in drought-prone environments. https://app.cochat.ai/papers/10.1016/j.pbi.2008.02.005
- The paper
- Reynolds, M., & Tuberosa, R. (2008). Translational research impacting on crop productivity in drought-prone environments. Current Opinion in Plant Biology. https://doi.org/10.1016/j.pbi.2008.02.005
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.
