Effects of peat source and length of storage time in bales on selected properties of <i>Sphagnum</i> peat
Bibliographic record
Abstract
Peat is a common ingredient of growing media used in the horticultural industry in North America and Europe, yet Canada does not have formal standards for peat quality assessment. This study evaluated selected properties of baled peat as affected by peat source and length of storage time under conditions typically occurring at a commercial growing media firm. Nine bales of peat (dominated by fibric white peat) from the upper, less-decomposed layers of a Sphagnum bog in Manitoba in the early stage of exploitation (ESE) and nine bales of peat (dominated by hemic brown peat) from the lower, more-decomposed layers of a Sphagnum bog in Alberta in the late stage of exploitation (LSE), were sampled after 1, 3, and 10 mo of storage. The ESE peat had a larger particle size (determined by both dry and wet sieving), and a higher content of total elements (Fe, Mn, Cu, Zn, Mo, Al, As, Cd, Co, Na, Ni, Pb, and Si), water content, and NH4-N than the LSE peat. The LSE peat had higher pH and NO3-N content. Plant-available water, air-filled porosity, and the number of germinated weeds were similar in ESE and LSE peat. In both sources of peat, organic particle size (determined by wet sieving) was lower after 10 mo of storage relative to 1 and 3 mo of storage. Similarly, the NH4-N content decreased from 120 mg kg-1 after 1 mo of storage to 90 mg kg-1 after 10 mo of storage. Hence, the growing media industry should monitor particle size distribution and available N at the time when peat is incorporated into growing mixes.Key words: Growing media; particle size; horticulture; wet sieving
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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 | 0.001 |
| 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 | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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".