ArticlePlant, cell & environment2022
Integrated root phenotypes for improved rice performance under low nitrogen availability.
Article in Plant, cell & environment, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 22 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
22 citing papers in PubMed, 52 citations in OpenAlex.
- Broad environmental adaptation is associated with root anatomical phenotypes in maize landraces: an in silico study.Annals of botany · 2026Article
- Machine Learning-Driven Construction of High-Yielding Cucumber Plant Architectures in Greenhouse Environments.Plant biotechnology journal · 2026Article
- Did crop domestication change the fitness landscape of root response to soil mechanical impedance? An in silico analysis.Annals of botany · 2025Article
- In silico analysis of the evolution of root phenotypes during maize domestication in Neolithic soils of Tehuacán.The New phytologist · 2025Article
- Nutrient recycling and utilization ofFrontiers in plant science · 2025Article
- Cortical parenchyma wall width regulates root metabolic cost and maize performance under suboptimal water availability.Journal of experimental botany · 2024Article
- Root plasticity improves maize nitrogen use when nitrogen is limiting: an analysis using 3D plant modelling.Journal of experimental botany · 2024Article
- Automatic Root Length Estimation from Images Acquired In Situ without Segmentation.Plant phenomics (Washington, D.C.) · 2024Article
- Root phenotypes for improved nitrogen capture.Plant and soil · 2024Review
- Enhancing the annual yield via nitrogen fertilizer application optimization in the direct seeding ratoon rice system.Frontiers in plant science · 2024Article
- Rice breeding for low input agriculture.Frontiers in plant science · 2024Review
- An advanced three-dimensional phenotypic measurement approach for extractingFrontiers in plant science · 2024Article
- Large root cortical cells and reduced cortical cell files improve growth under suboptimal nitrogen in silico.Plant physiology · 2023Article
- Crop/Plant Modeling Supports Plant Breeding: II. Guidance of Functional Plant Phenotyping for Trait Discovery.Plant phenomics (Washington, D.C.) · 2023Review
- Modeling root loss reveals impacts on nutrient uptake and crop development.Plant physiology · 2022Article
- Roots' Drought Adaptive Traits in Crop Improvement.Plants (Basel, Switzerland) · 2022Review
- Multi-objective optimization of root phenotypes for nutrient capture using evolutionary algorithms.The Plant journal : for cell and molecular biology · 2022Article
- Integrated root phenotypes for improved rice performance under low nitrogen availability.Plant, cell & environment · 2022Article
- Response of Southeast Asian rice root architecture and anatomy phenotypes to drought stress.Frontiers in plant science · 2022Article
- Optimizing Crop Water Use for Drought and Climate Change Adaptation Requires a Multi-Scale Approach.Frontiers in plant science · 2022Review
Corrections and comments
- Erratum issuedCORRIGENDUM.2022
Authors and funding
8 authors at 4 institutions in 5 countries.
Funding
No grant is acknowledged in the PubMed record.
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.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.