Italian Ryegrass Management Effects on Nitrogen Supply to a Subsequent Potato Crop
Bibliographic record
Abstract
There is increasing use of Italian ryegrass ( Lolium multiflorum Lam.) as a green manure in potato ( Solanum tuberosum L.) rotations; however, effects of its management on soil N supply to the subsequent potato crop are unknown. Fertilizer N management and plow‐down date for a preceding Italian ryegrass crop, ‘Lemtal’, on soil N supply to a subsequent potato crop, ‘Russet Burbank’, was determined over 2 yr. Application of N at 150 to 188 kg N ha −1 to ryegrass increased dry matter yield and N uptake of aboveground forage and stubble (i.e., stubble, crown, and large root) tissue. Delaying plow‐down from early September to early November increased dry matter yield and N uptake of stubble tissue, but not aboveground forage. Apparent recovery of applied N in harvested forage and stubble tissue averaged 55 and 12%, respectively. High N application to the ryegrass increased soil N supply to the subsequent unfertilized potato crop as indicated by increased tuber yield, mean tuber weight, and plant (i.e., vines plus tubers) dry matter yield and N uptake. However, the increase in soil N supply (i.e., N uptake of unfertilized potato plants at vine desiccation) was small (<20 kg N ha −1 ). Apparent recovery of N applied to the ryegrass crop in unfertilized potato plants was low (10%). Delayed ryegrass plow‐down had no effect on soil N supply to the subsequent potato crop. Italian ryegrass green manure crop can be effective in increasing soil organic matter inputs but has limited short‐term effects on soil N supply for potato.
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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 | 0.001 |
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".