Editorial: Legume root diseases
Bibliographic record
Abstract
Legume root diseasesLegume crop development is a major challenge worldwide for sustainable agriculture and food security.In particular, legume root diseases are economically important, affecting large areas of crop production in many countries worldwide.Root rots, caused by Aphanomyces euteiches, Rhizoctonia solani, Fusarium species, and wilts, caused by several formae speciales of Fusarium oxysporum, are some of the most destructive soilborne diseases of cultivated legumes including pea, chickpea, lentil, soybean, bean, faba bean, lupin, and alfalfa.A number of control strategies have been developed including resistance breeding, cultural practices and chemical control.However, root diseases management remains challenging, especially due to difficult accessibility to the soil horizon and implementation of most control methods has been hard to achieve or resulted in incomplete protection.Collaborative and multidisciplinary research is needed to develop effective integrated control strategies against these diseases.International Workshop meetings were initiated on legume root diseases, with the first held in 2002 in Rennes, France.As the community interest in this topic has grown, the meetings have performed an important role in the international promotion and discussion of results on the research and scientific achievements in this field.They have also been important in supporting the scientific community and helping breeders and stakeholders with funding applications and partnerships.The eighth International Legume Root Diseases (ILRD8) workshop was held online on August 23-26, 2022 (https:// workshop.inrae.fr/ilrd8/)and gathered nearly 100 scientists from different continents of the world.The workshop provided the opportunity to develop this Frontiers Research Topic bringing together a collection of the latest quality articles that report on recent advances in research on legume root diseases.Manuscripts of this Research Topic address the various areas of legume root diseases research, including disease survey, pathogen identification and diversity (four articles), disease resistance and breeding (four articles), plant-pathogen-microbe interactions (three articles) and integrated disease management (five articles).Root disease survey, pathogen identification and diversity were reported on faba bean, chickpea and pea.In China, Long et al. first reported black root rot on faba bean caused by Berkeleyomyces rouxiae.These authors confirmed and expanded the broad host range of B. rouxiae in legumes and identified moderately resistant faba bean cultivars.In a survey Frontiers in Plant Science frontiersin.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.007 | 0.019 |
| Meta-epidemiology (narrow) | 0.006 | 0.001 |
| Meta-epidemiology (broad) | 0.005 | 0.004 |
| Bibliometrics | 0.005 | 0.002 |
| Science and technology studies | 0.004 | 0.002 |
| Scholarly communication | 0.009 | 0.004 |
| Open science | 0.004 | 0.003 |
| Research integrity | 0.023 | 0.015 |
| Insufficient payload (model declined to judge) | 0.042 | 0.024 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".