Integrated root phenotypes for improved rice performance under low nitrogen availability

Article


Ajmera, Ishan, Henry, Amelia, Radanielson, Ando M., Klein, Stephanie P., Ianevski, Aleksandr, Bennett, Malcolm J., Band, Leah R. and Lynch, Jonathan P.. 2022. "Integrated root phenotypes for improved rice performance under low nitrogen availability." Plant, Cell and Environment. 45 (3), pp. 805-822. https://doi.org/10.1111/pce.14284
Article Title

Integrated root phenotypes for improved rice performance under low nitrogen availability

ERA Journal ID2644
Article CategoryArticle
AuthorsAjmera, Ishan, Henry, Amelia, Radanielson, Ando M., Klein, Stephanie P., Ianevski, Aleksandr, Bennett, Malcolm J., Band, Leah R. and Lynch, Jonathan P.
Journal TitlePlant, Cell and Environment
Journal Citation45 (3), pp. 805-822
Number of Pages18
Year2022
PublisherJohn Wiley & Sons
Place of PublicationUnited Kingdom
ISSN0140-7791
1365-3040
Digital Object Identifier (DOI)https://doi.org/10.1111/pce.14284
Web Address (URL)https://onlinelibrary.wiley.com/doi/10.1111/pce.14284
Abstract

Greater nitrogen efficiency would substantially reduce the economic, energy and environmental costs of rice production. We hypothesized that synergistic balancing of the costs and benefits for soil exploration among root architectural phenes is beneficial under suboptimal nitrogen availability. An enhanced implementation of the functional–structural model OpenSimRoot for rice integrated with the ORYZA_v3 crop model was used to evaluate the utility of combinations of root architectural phenes, namely nodal root angle, the proportion of smaller diameter nodal roots, nodal root number; and L-type and S-type lateral branching densities, for plant growth under low nitrogen. Multiple integrated root phenotypes were identified with greater shoot biomass under low nitrogen than the reference cultivar IR64. The superiority of these phenotypes was due to synergism among root phenes rather than the expected additive effects of phene states. Representative optimal phenotypes were predicted to have up to 80% greater grain yield with low N supply in the rainfed dry direct-seeded agroecosystem over future weather conditions, compared to IR64. These phenotypes merit consideration as root ideotypes for breeding rice cultivars with improved yield under rainfed dry direct-seeded conditions with limited nitrogen availability. The importance of phene synergism for the performance of integrated phenotypes has implications for crop breeding.

Keywordsroot system architecture; functional–structural plant modelling; IR64; nitrogen acquisition; nodal roots; OpenSimRoot; ORYZA_V; phene synergism
Byline AffiliationsUniversity of Nottingham, United Kingdom
Pennsylvania State University, United States
International Rice Research Institute, Philippines
Centre for Sustainable Agricultural Systems
University of Helsinki, Finland
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