The DOI matches its Crossref record; 6 of the 6 references it cites were found in a registry or an index.
Any trait or trait-related allele can confer drought tolerance: just design the right drought scenario
Open accessAbstract
Most traits associated with drought tolerance have a dual effect, positive in very severe scenarios and negative in milder scenarios, or the opposite trend. Their effects also depend on other climatic conditions such as evaporative demand or light, and on management practices. This is the case for processes associated with cell protection and with avoidance, but also for the maintenance of growth or photosynthesis, high water use efficiency, large root systems or reduced abortion rate under water deficit. Therefore, spectacular results obtained in one drought scenario may have a limited interest for improving food security in other geographical areas with water scarcity. The most relevant questions on drought tolerance are probably, 'Does a given allele confer a positive effect on yield in an appreciable proportion of years/scenarios in a given area or target population of environment (TPE)?'; 'In a given site or TPE, what is the trade-off between risk avoidance and maintained performance?'; and 'Will a given allele or trait have an increasingly positive effect with climate change?' Considerable progress has already occurred in drought tolerance. Nevertheless, explicitly associating traits for tolerance to drought scenarios may have profound consequences on the genetic strategies, with a necessary involvement of modelling.
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Cites
Climate and the efficiency of crop production in Britain
Monteith, J. L. (1977) · Philosophical Transactions of the Royal Society of London. B, Biological Sciences · doi:10.1098/rstb.1977.0140 · Cited by 3,484
Trehalose accumulation in rice plants confers high tolerance levels to different abiotic stresses
Garg, A. K., Kim, J.-K., Owens, T. G., Ranwala, A. P., Choi, Y. D., Kochian, L. V., & Wu, R. J. (2002) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.252637799 · Cited by 1,346
Models for navigating biological complexity in breeding improved crop plants
Hammer, G., Cooper, M., Tardieu, F., Welch, S., Walsh, B., van Eeuwijk, F., Chapman, S., & Podlich, D. (2006) · Trends in Plant Science · doi:10.1016/j.tplants.2006.10.006 · Cited by 415
Self-citationTUBEROSA, R. (2002) · Annals of Botany · doi:10.1093/aob/mcf134 · Cited by 397
Chenu, K., Chapman, S. C., Tardieu, F., McLean, G., Welcker, C., & Hammer, G. L. (2009) · Genetics · doi:10.1534/genetics.109.105429 · Cited by 237
Self-citationWelcker, C., Boussuge, B., Bencivenni, C., Ribaut, J.-M., & Tardieu, F. (2006) · Journal of Experimental Botany · doi:10.1093/jxb/erl227 · Cited by 174
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Cited by
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
Desiccation Tolerance: Avoiding Cellular Damage During Drying and Rehydration
Oliver, M. J., Farrant, J. M., Hilhorst, H. W. M., Mundree, S., Williams, B., & Bewley, J. D. (2020) · Annual Review of Plant Biology · doi:10.1146/annurev-arplant-071219-105542 · Cited by 303
Crop adaptation to climate change as a consequence of long-term breeding
Snowdon, R. J., Wittkop, B., Chen, T.-W., & Stahl, A. (2021) · Theoretical and Applied Genetics · doi:10.1007/s00122-020-03729-3 · Cited by 172
Crop design for specific adaptation in variable dryland production environments
Hammer, G. L., McLean, G., Chapman, S., Zheng, B., Doherty, A., Harrison, M. T., van Oosterom, E., & Jordan, D. (2014) · Crop & Pasture Science · doi:10.1071/cp14088 · Cited by 179
Genome-wide analysis of yield in Europe: allelic effects as functions of drought and heat scenarios
Millet, E., Welcker, C., Kruijer, W., Negro, S., Nicolas, S., Praud, S., Ranc, N., Presterl, T., Tuberosa, R., Bedo, Z., et al. (2016) · Plant Physiology · doi:10.1104/pp.16.00621 · Cited by 160
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Metadata
- Authors
- Tardieu, F.
- Venue
- Journal of Experimental Botany
- Publisher
- Oxford University Press (OUP)
- Published
- 2011-09-30
- Volume
- 63
- Issue
- 1
- Pages
- 25-31
- ISSN
- 0022-0957 (ISSN-L)
- 1460-2431
- OpenAlex
- W2112727917
- Cited by
- 548
- References
- 6
- FWCI
- 30.15
- Type
- journal article
- Language
- en
- Open access
- bronze
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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.
