Nitrogen Availability in an Organic Potato Crop Following 3-Year Transition under Contrasting Farming Systems
Bibliographic record
Abstract
Organic farming systems often involve livestock and/or forages. However, managing soil nitrogen (N) availability by adjusting soil amendment rates and forage duration in crop rotations is a challenge. A 4-year experiment was conducted to evaluate N availability in the fourth year of organic potato systems with contrasting livestock and forage components. The experiment included three forage levels (0, 1, or 2 years of forage) through 4-year rotations starting with wheat (Triticum aestivum L.) and ending in potato (Solanum tuberosum L.). Within each forage level, three soil amendments (alfalfa meal, composted beef manure, and composted poultry manure) represented nutrient sources from stockless, ruminant, and monogastric systems, respectively. As farmers do, we modified the amendment application rate and timing by taking a system approach to reflect crop rotations. Nitrogen availability was higher in alfalfa meal compared with the composts varied with feedstocks. Nitrogen supply from soil amendments differed in the year of application, with no apparent N carryover effects. With increased forage frequency, soil N supply rates increased in the organic potato season following the 3-year transition period. The pre-experimental pasture with high soil fertility limited differences in plant N uptake among treatments. Nitrogen availability as indicated by potato N uptake was linearly related to cumulative amendment inputs in spite of different amounts of amendment input to different treatments.
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 | 0.000 | 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 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".