Phosphorus fertilization and asparagus yield during establishment years
Bibliographic record
Abstract
Adequate P is important for the production of healthy asparagus (Asparagus officinalis L.) plants. This study determined how varying P fertilization rates affected asparagus yields obtained 3 and 4 yr after planting 1-yr-old crowns. The P fertilizers were applied annually at 0, 50, 75 100 and 200% of the recommended rate for Québec. The recommended rates for P fertilizer are much higher in the year that the crowns are planted than in a producing asparagus field as the goal at planting is to establish soil fertility levels that will sustain production for 15 yr or longer. Marketable yields for the various P fertility regimes ranged from 2060 to 2460 kg fresh weight (FW) ha-1 in the first year of harvest and between 3015 and 3250 kg FW ha-1 in the second year. Marketable yields were not affected by P fertilization in either year, suggesting unamended soil at the test site contained adequate P (about 160 mg Mehlich III extractable P kg-1) for asparagus production. The rates of P removal in the harvested asparagus spears were low compared to fertilizer P applications. All of the P fertilizer rates applied increased the Mehlich III extractable P concentration and the P saturation ratio of the soil above critical agroenvironmental limits. Further study is needed to develop P fertilizer recommendations that maintain asparagus yields and quality without contributing to environmental pollution. Key words: Mehlich III-extractable P, P nutrient management, P saturation
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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) | 0.001 | 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".