The influence of rainfall intensity and soybean plant row spacing on the vertical distribution of wet deposited<i>Phakopsora pachyrhizi</i>urediniospores
Bibliographic record
Abstract
Abstract A rainfall simulator was used to evaluate the effects of rainfall intensity and row spacing on Phakopsora pachyrhizi urediniospore wet deposition at different depths within a soybean canopy. Soybean field sections of 19 and 76 cm row spacing were drill planted on two separate dates in Quincy, FL, USA. Urediniospore injected simulated rainfalls of 45 or 85 mm h−1 were conducted within the field sections and urediniospore deposition was quantified in the canopy using a detached leaflet bioassay. The proportion of wet deposited urediniospores retained within the soybean canopy, estimated by uredinia density, was observed to significantly (P < 0.05) decrease with canopy depth. Approximately half of the urediniospores were retained within the upper portion of the soybean canopy, and the other half was distributed between the mid and low canopy sections. Both row spacing and rainfall intensity had no significant (P > 0.10) effect on the vertical distribution of uredinia throughout the soybean canopy, however, more uredinia cm−2 were observed in the upper canopy level for the lower than the higher rainfall intensity. For the treatments examined in this study, it was estimated that between 2.5 and 4.0% of the viable P. pachyrhizi urediniospores that are removed from the atmosphere by rainfall are deposited on and subsequently infect leaves in the mid and low sections of soybean canopies.
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 | 0.001 |
| 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".