Effects of the Brown Seaweed, Ascophyllum nodosum, on the Nodulation and Growth of Alfalfa
Bibliographic record
Abstract
The effect of Ascophyllum nodosum extracts on the nodulation and growth of alfalfa was investigated. Plant growth assay revealed that alfalfa treated with 2 g L-1 ANE exhibited a significant increase in leaf area. Under salt stress, alfalfa treated with 0.5 g L-1 ANE exhibited a significant increase in total length compared to controls. A root hair deformation assay indicated that ANE 0.5 g L-1 stimulated the synthesis of Nod factors secreted by rhizobia thus accelerate root hair deformation of alfalfa. Similarly, ANE 0.5 g L-1 caused an increase in nodC gene expression suggesting that ANE may act similarly to flavonoids in the rhizobium-legume symbiosis. Under field conditions, ANE increased the total number of functional nodules, total root length and total leaf area. Taken together, the results suggest that ANE may contain compound(s) that promote specific metabolic pathway both in alfalfa and bacterium thus enhance the symbiotic relationship.
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 distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| 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 | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".