ArticlePLoS computational biology2020
Eco-evolutionary agriculture: Host-pathogen dynamics in crop rotations.
Article in PLoS computational biology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 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
12 citing papers in PubMed.
- Harnessing plant-to-plant signalling via common mycorrhizal networks for enhanced community-level resistance in crops.Journal of experimental botany · 2026Review
- Experimental evolution of the host range dynamics in two isolates of potato virus Y.Virus evolution · 2026Article
- Eco-evolutionary dynamics of structured populations in periodically fluctuating environments: a G function approach.Theory in biosciences = Theorie in den Biowissenschaften · 2024Article
- Domestication and the evolution of crops: variable syndromes, complex genetic architectures, and ecological entanglements.The Plant cell · 2024Review
- Theoretical assessment of persistence and adaptation in weeds with complex life cycles.Nature plants · 2023Article
- Long-Term Tillage and Crop Rotation Regimes Reshape Soil-Borne Oomycete Communities in Soybean, Corn, and Wheat Production Systems.Plants (Basel, Switzerland) · 2023Article
- Optimizing crop rotations via Parrondo's paradox for sustainable agriculture.Royal Society open science · 2023Article
- Identification ofFrontiers in plant science · 2023Article
- Phenotypic Variability and Genetic Diversity of the Pathogenic Fungus Macrophomina phaseolina from Several Hosts and Host Specialization in Strawberry.Current microbiology · 2022Article
- Biotechnological Resources to Increase Disease-Resistance by Improving Plant Immunity: A Sustainable Approach to Save Cereal Crop Production.Plants (Basel, Switzerland) · 2021Review
- The Pepper Mitogen-Activated Protein Kinase CaMAPK7 Acts as a Positive Regulator in Response toFrontiers in microbiology · 2021Article
- Rotating and stacking genes can improve crop resistance durability while potentially selecting highly virulent pathogen strains.Scientific reports · 2020Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Since its origins, thousands of years ago, agriculture has been challenged by the presence of evolving plant pathogens. Temporal rotations of host and non-host crops have helped farmers to control epidemics among other utilities, but further efforts for strategy assessment are needed. Here, we present a methodology for developing crop rotation strategies optimal for control of pathogens informed by numerical simulations of eco-evolutionary dynamics in one field. This approach can integrate agronomic criteria used in crop rotations-soil quality and cash yield-and the analysis of pathogen evolution in systems where hosts are artificially selected. Our analysis shows which rotation patterns perform better in maximising crop yield when an unspecified infection occurs, with yield being dependent on both soil quality and the strength of the epidemic. Importantly, the use of non-host crops, which both improve soil quality and control the epidemic results in similar rational rotation strategies for diverse agronomic and infection conditions. We test the repeatability of the best rotation patterns over multiple decades, an essential end-user goal. Our results provide sustainable strategies for optimal resource investment for increased food production and lead to further insights into the minimisation of pesticide use in a society demanding ever more efficient agriculture.
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.