Fertilizer N and P Effects on Root Mass of Bromegrass, Alfalfa and Barley
Bibliographic record
Abstract
Roots play a major role in maintaining organic matter in soil. Six field experiments were conducted to evaluate the effects of fertilizer N and P rates, application times and placement methods on root mass of meadow bromegrass (Bromus biebersteinii Roam and Shultz), smooth bromegrass (Bromus inermis Leyss), alfalfa (Medicago sativa Leyss) and barley (Hordeum vulgare L.) in the surface 15 cm of Black Chernozemic (Udic Boroll) and Gray Luvisolic (Boralf) soils in central Alberta, Canada. Root mass of grasses and barley was markedly increased with N and P fertilization and increase in root mass was greater with band placement than broadcast N. Black Chernozemic soils produced more root mass than Gray Luvisolic soils. Root mass of bromegrass and alfalfa was many times greater than that of barley. Root mass was greater for alfalfa than smooth bromegrass, and for bromegrass-alfalfa mixture than their pure stands. In conclusion, use of N and P fertilizers and growing of bromegrass, alfalfa and bromegrass grass-alfalfa mixture could be employed to increase root mass and possibly increase C storage in soil.
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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".