Seed endosymbiosis: a vital relationship in providing prenatal care to plants
Bibliographic record
Abstract
Global food security is a challenge, especially under changing climatic conditions. Recent advances in plant technology using plant-microbiome interactions promise an increased crop production. Indeed, all healthy plants or crop genotypes carry a beneficial microbiome, encompassing root- and seed-associated endosymbionts, providing mycotrophy and mycovitality to plants, respectively. Recent studies have found that mycovitality, or the endosymbiotic seed–fungus relationship and its key translational functions, bear tangible biotechnological benefits. Thus, this paper underlines the role of endophytes as early plant growth promoters under stressful environments. Notably, it explores the concept of plant prenatal care towards enhanced seed vigor, germination, and resilience, which results in an improved crop yield under stressful conditions. It presents an extensive research overview of endosymbiotic plant–fungi relationships with special focus on the wheat seed, an important source of staple food. Historical advances in terminology and scientific concepts on the subject are also presented to highlight the areas where further research is urgently needed.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
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".