The DOI matches its Crossref record; 7 of the 7 references it cites were found in a registry or an index.
A Physio-Morphological Trait-Based Approach for Breeding Drought Tolerant Wheat
Open accessAbstract
L.), one of the world's three important cereal crops. Breeding new high yielding drought-tolerant wheat varieties is a research priority specifically in regions where climate change is predicted to result in more drought conditions. Commonly in breeding for drought tolerance, grain yield is the basis for selection, but it is a complex, late-stage trait, affected by many factors aside from drought. A strategy that evaluates genotypes for physiological responses to drought at earlier growth stages may be more targeted to drought and time efficient. Such an approach may be enabled by recent advances in high-throughput phenotyping platforms (HTPPs). In addition, the success of new genomic and molecular approaches rely on the quality of phenotypic data which is utilized to dissect the genetics of complex traits such as drought tolerance. Therefore, the first objective of this review is to describe the growth-stage based physio-morphological traits that could be targeted by breeders to develop drought-tolerant wheat genotypes. The second objective is to describe recent advances in high throughput phenotyping of drought tolerance related physio-morphological traits primarily under field conditions. We discuss how these strategies can be integrated into a comprehensive breeding program to mitigate the impacts of climate change. The review concludes that there is a need for comprehensive high throughput phenotyping of physio-morphological traits that is growth stage-based to improve the efficiency of breeding drought-tolerant wheat.
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Cites
NIH Image to ImageJ: 25 years of image analysis
Schneider, C. A., Rasband, W. S., & Eliceiri, K. W. (2012) · Nature Methods · doi:10.1038/nmeth.2089 · Cited by 64,638
Carbon Isotope Discrimination and Photosynthesis
Farquhar, G. D., Ehleringer, J. R., & Hubick, K. T. (1989) · Annual Review of Plant Physiology and Plant Molecular Biology · doi:10.1146/annurev.pp.40.060189.002443 · Cited by 7,063
Drought under global warming: a review
Dai, A. (2011) · WIREs Climate Change · doi:10.1002/wcc.81 · Cited by 3,523 · cited 1×
“…three broad inter-related groups: meteorological drought, caused by anomalies in the atmosphere and higher temperatures; agricultural drought, caused by low precipitation and high evapotranspiration rates; and hydrological drought when sources of water fall below their normal average (Dai, 2011).”
BackgroundField high-throughput phenotyping: the new crop breeding frontier
Araus, J. L., & Cairns, J. E. (2014) · Trends in Plant Science · doi:10.1016/j.tplants.2013.09.008 · Cited by 1,817 · cited 6×
“…traits associated with biotic and abiotic stresses (Rutkoski et al., 2016) as they bridge the gap between genomics and phenomics (Araus and Cairns, 2014; Fahlgren et al., 2015; Frontiers in Plant Science | www.frontiersin.org 15 June 2020 | Volume 11 | Article 715 Bai et al., 2016; Zhang…”
BackgroundMethodInfluentialPlant 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
Effects of drought and high temperature stress on synthetic hexaploid wheat
Pradhan, G. P., Prasad, P. V. V., Fritz, A. K., Kirkham, M. B., & Gill, B. S. (2012) · Functional Plant Biology · doi:10.1071/fp11245 · Cited by 299
Abhinandan, K., Skori, L., Stanic, M., Hickerson, N. M. N., Jamshed, M., & Samuel, M. A. (2018) · Frontiers in Plant Science · doi:10.3389/fpls.2018.00734 · Cited by 252
Cited by
Dietz, K. ‐., Zörb, C., & Geilfus, C. ‐. (2021) · Plant Biology · doi:10.1111/plb.13304 · Cited by 452
Metadata
- Authors
- Khadka, K., Earl, H. J., Raizada, M. N., & Navabi, A.
- Venue
- Frontiers in Plant Science
- Publisher
- Frontiers Media SA
- Published
- 2020-06-03
- Volume
- 11
- Pages
- 715-715
- ISSN
- 1664-462X (ISSN-L)
- OpenAlex
- W3033413873
- Cited by
- 212
- References
- 7
- FWCI
- 14.93
- Type
- journal article
- Language
- en
- Open access
- gold
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- Khadka, K., Earl, H. J., Raizada, M. N., & Navabi, A. (2020). A Physio-Morphological Trait-Based Approach for Breeding Drought Tolerant Wheat. Frontiers in Plant Science. https://doi.org/10.3389/fpls.2020.00715
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