The DOI matches its Crossref record; 54 of the 54 references it cites were found in a registry or an index.
3D phenotyping and quantitative trait locus mapping identify core regions of the rice genome controlling root architecture
Open accessAbstract
Significance: Improving the efficiency of root systems should result in crop varieties with better yields, requiring fewer chemical inputs, and that can grow in harsher environments. Little is known about the genetic factors that condition root growth because of roots’ complex shapes, the opacity of soil, and environmental influences. We designed a 3D root imaging and analysis platform and used it to identify regions of the rice genome that control several different aspects of root system growth. The results of this study should inform future efforts to enhance root architecture for agricultural benefit.
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Cites
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Cited by
Evaluating physiological responses of plants to salinity stress
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Machine Learning for High-Throughput Stress Phenotyping in Plants
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Adventitious Roots and Lateral Roots: Similarities and Differences
Bellini, C., Pacurar, D. I., & Perrone, I. (2014) · Annual Review of Plant Biology · doi:10.1146/annurev-arplant-050213-035645 · Cited by 624
Uncovering the hidden half of plants using new advances in root phenotyping
Atkinson, J. A., Pound, M. P., Bennett, M. J., & Wells, D. M. (2019) · Current Opinion in Biotechnology · doi:10.1016/j.copbio.2018.06.002 · Cited by 406
Metadata
- Authors
- Topp, C. N., Iyer-Pascuzzi, A. S., Anderson, J. T., Lee, C.-R., Zurek, P. R., Symonova, O., Zheng, Y., Bucksch, A., Mileyko, Y., Galkovskyi, T., Moore, B. T., Harer, J., Edelsbrunner, H., Mitchell-Olds, T., Weitz, J. S., & Benfey, P. N.
- Venue
- Proceedings of the National Academy of Sciences
- Published
- 2013-04-11
- Volume
- 110
- Issue
- 18
- Pages
- E1695-704
- ISSN
- 0027-8424 (ISSN-L)
- 1091-6490
- OpenAlex
- W1971764754
- Cited by
- 292
- References
- 54
- FWCI
- 17.80
- Type
- journal article
- Language
- en
- Open access
- green
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- Topp, C. N., Iyer-Pascuzzi, A. S., Anderson, J. T., Lee, C.-R., Zurek, P. R., Symonova, O., Zheng, Y., Bucksch, A., Mileyko, Y., Galkovskyi, T., Moore, B. T., Harer, J., Edelsbrunner, H., Mitchell-Olds, T., Weitz, J. S., & Benfey, P. N. (2013). 3D phenotyping and quantitative trait locus mapping identify core regions of the rice genome controlling root architecture. Proceedings of the National Academy of Sciences. https://doi.org/10.1073/pnas.1304354110
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