Research Regarding the Effect of Arbuscular Mycorrhiza upon Principals Physiological Index in Salad - Lactuca sativa L.
Bibliographic record
Abstract
The mushrooms of vesicular arbuscular mycorrhiza have a positive influence in the most crops physiology, vegetative propagation by promoting increased between absorption of phosphorus, of microelements with difficult absorption for plant with reduced mobility and water, causing increased resistance to drought. Research was focused on the effect of arbuscular mycorrhiza upon chlorophyll content, leaf area and photosynthesis intensity in salad. Biological material used was the commercial genotypes of lettuce (Lactuca sativa L.), with Hungarian origin. To induce mycorrhiza was used commercially inoculums under the name of INOQ Top from INOQ GmbG, Germany. It contains the following species of fungi: Glomus etunicatum (Becker & Gerdemann), Glomus intraradices (Schenck & Smith), Glomus claroideum (Schenck & Smith). Chlorophyll content was measured using portable clorophyllmeter Spades 502, Konika Minolta, leaf area was determined with a portable scanner Leaf Area Meter AM 300-0002, Bioscientific ADC Ltd, and to measure the intensity of photosynthesis we used CO2 ANALYSIS PACKAGE device, qubit Systems (Canada), which incorporates an infrared gas analyzer to measure CO2 concentration. Chlorophyll content and hence CIC (chlorophyll content index) responded similarly to AMF colonization, ascertaining the higher values for phosphorus concentration variations in mycorrhiza 1X (0,43g/l Ca3 (PO4)2) and 0,5X (0,215 g/l Ca3(PO4)2).
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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".