Differentiation of potato ecosystems on the basis of relationships among physical, chemical and biological soil parameters
Bibliographic record
Abstract
Boiteau, G., Goyer, C., Rees, H. W. and Zebarth, B. J. 2014. Differentiation of potato ecosystems on the basis of relationships among physical, chemical and biological soil parameters. Can. J. Soil Sci. 94: 463-476. A study of soil physical, chemical and biological properties of five cultivated agro-ecosystems (two conventional potato, two organic potato and one cereal production systems) and two uncultivated agro-ecosystems (pasture and 20-yr abandoned potato field) was carried out at 21 field sites over 3 yr in New Brunswick, Canada. Twenty-four of the initial 42 variables chosen for their significant response to differences among farming systems were used in a principal component analysis to understand their relationships with the agro-ecosystems studied. The chemical, physical and biological soil properties considered contributed to a single dominant factor (PCI) of agricultural soil health representing soil organic matter dynamics. Conventional, uncertified organic and certified organic potato agro-ecosystems were lowest, intermediate and highest, respectively, on the PCI gradient. Conventional potato systems were characterized by high erosion, high soil bulk density, high soil test sulphur and phosphorus and high bacterial counts. Certified organic potato systems formed a separate group with the reference ecosystems (i.e., pasture and abandoned potato field under long-term rejuvenation). This group was characterized by high soil organic carbon, high soil aggregate stability, high soil water-holding capacity and high meso- and macro-fauna counts. The uncertified organic potato production system and organic barley system were characterized by average values, intermediate between conventional and certified organic potato systems. Results confirmed the strong negative impact of intensive cycles of conventional potato production on soil health. The clear separation observed between conventional, uncertified organic and organic potato ecosystems indicates that the positive impact of rotations and other management practices must be sustained over long periods for full rehabilitation of soils previously under intensive potato production. However, results also revealed that fields under organic certified potato production were retaining the properties of undisturbed reference sites such as pastures and abandoned potato fields under long-term rejuvenation.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| 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) | 0.000 | 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 teacher head, 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".