ReviewNature food2025
Gaps and strategies for accurate simulation of waterlogging impacts on crop productivity.
Review in Nature food, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 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
5 citing papers in PubMed.
- Review
- The beneficial relation between soil organic carbon and maize yield in field trials does not translate to real-world farms in Northeast China.Nature food · 2026Article
- Soybean root elongation in relation to water and mechanical stresses in intact and disturbed structures of an Oxisol.Frontiers in plant science · 2026Article
- Agrohydrological analysis of waterlogging impacts and mitigation in Ethiopia.NPJ sustainable agriculture · 2026Article
- Current Status of Studying on Physiological Mechanisms of Rice Response to Flooding Stress and Flooding-Resistant Cultivation Regulation.Plants (Basel, Switzerland) · 2025Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
44 authors.
Funding
Abstract
With the changing climate, soil waterlogging is a growing threat to food security. Yet, contemporary approaches employed in crop models to simulate waterlogging are in their infancy. By analysing 21 crop models, we show that critical deficiencies persist in accurately simulating capillary rise, crop resistance to transient periods of waterlogging, crop recovery mechanisms, and the effects on soil nitrogen processes, phenology and yield components. This hinders the ability of such models to reliably simulate the impacts of excessive soil moisture. Advanced crop modelling analytics will enable scenario analysis and, with time, farming systems adaptation to climate change and increasing frequency of crop failure due to waterlogging.
Indexed as
Identifiers
40481339What 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.