Phosphorus Fertilization Effect on Timothy Root Growth, and Associated Arbuscular Mycorrhizal Development
Bibliographic record
Abstract
Root architecture and mycorrhizal associations are plant traits that determine soil P uptake by plants. However, the response of these important plant traits to mineral P fertilization under grasslands production is poorly understood. We assessed the effect of P fertilization at 0, 20, or 40 kg P ha−1 applied in the spring of each year since 2010 on root attributes, arbuscular mycorrhizal (AM) root colonization, plant growth, and plant P concentration in timothy (Phleum pratense L.) swards seeded in 2009 on a Labarre clay loam in Normandin, QC, Canada. Soil cores for root samples (height of 7.5 cm and inner diameter of 8 cm) were collected in June 2013 after the first harvest and in August 2014 after the second harvest. The results showed that P application increased dry matter (DM) yield and shoot P uptake at the first harvest time but not at the second. Shoot P concentration increased with increasing P application, particularly in August 2014. Phosphorus fertilization had no significant influence on root architectural attributes, colonization by hyphae or arbuscules, or total AM root colonization at both sampling times. However, in August 2014, AM vesicle density in roots was significantly greater with 40 kg P ha−1 than without P fertilization. We conclude that timothy shoot and root growth varied with sampling time but that root architectural traits and the AM colonization of timothy roots were influenced little by P fertilization in eastern Canada.
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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".