The DOI matches its Crossref record; 88 of the 88 references it cites were found in a registry or an index.
Root hydraulics: The forgotten side of roots in drought adaptation
Open accessAbstract
Roots have long been proposed as a major avenue of research to improve crop adaptation to water limitations. The simple assumption is that deeper and more profuse root systems could tap extra water from the soil profile and alleviate drought effects. However, after decades of research, success in breeding cultivars with improved root systems is lagging behind. Here, we attempt to analyze the possible reasons for this, and re-focus on what root traits might provide the most promising avenues for drought adaptation. We approach the root system from the angle of water extraction, using data from a lysimetric system that allows monitoring and comparing plant water use over the entire crop life cycle and yield, and analyze whether and how differences in water extraction lead to improved yield across different crops. The main message from that analysis is that water extraction during reproduction and grain filling is critical and comes from a number of traits that influence the rate at which plant use the available water before and during stress. Roots may have an effect on this, not from the traditionally thought density or depth, but rather from their hydraulic characteristics. Plants can indeed control water use by controlling leaf area development and this is a “long term” control. Plants also control water losses by controlling stomata opening under high vapor pressure deficit (VPD) conditions, in a transient manner. Both processes (leaf development and stomata opening) are mostly controlled by hydraulic processes. The role of roots in drought adaptation could be there, along with the soil, in setting an hydraulic environment that allow plants to use water in a way that allow maximizing water use for these critical stages.
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Cites
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The hydraulic architecture of trees and other woody plants
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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
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
Wasson, A. P., Richards, R. A., Chatrath, R., Misra, S. C., Prasad, S. V. S., Rebetzke, G. J., Kirkegaard, J. A., Christopher, J., & Watt, M. (2012) · Journal of Experimental Botany · doi:10.1093/jxb/ers111 · Cited by 885
How does water get through roots?
Steudle, E., & Peterson, C. A. (1998) · Journal of Experimental Botany · doi:10.1093/jxb/49.322.775 · Cited by 878
Root system architecture: opportunities and constraints for genetic improvement of crops
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Shovelomics: high throughput phenotyping of maize (Zea mays L.) root architecture in the field
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Aquaporin CHIP: the archetypal molecular water channel
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The role of root architectural traits in adaptation of wheat to water-limited environments
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Cited by
Coping with drought: stress and adaptive responses in potato and perspectives for improvement
Obidiegwu, J. E. (2015) · Frontiers in Plant Science · doi:10.3389/fpls.2015.00542 · Cited by 362
Hadebe, S. T., Modi, A. T., & Mabhaudhi, T. (2017) · Journal of Agronomy and Crop Science · doi:10.1111/jac.12191 · Cited by 359
Wong, A. C. S., van Oosterom, E. J., Godwin, I. D., & Borrell, A. K. (2023) · AoB Plants · doi:10.1093/aobpla/plad040 · Cited by 5
Metadata
- Authors
- Vadez, V.
- Venue
- Field Crops Research
- Publisher
- Elsevier BV
- Published
- 2014-08
- Volume
- 165
- Pages
- 15-24
- ISSN
- 0378-4290 (ISSN-L)
- OpenAlex
- W2004605527
- Cited by
- 306
- References
- 88
- FWCI
- 13.57
- Type
- journal article
- Language
- en
- Open access
- hybrid
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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.