Effects of tillage on soil aggregates in black soils in Northeast China.
Bibliographic record
Abstract
Objective In order to seek proper tillage methods for soil structure improvement,the impact of conservation tillage on soil aggregates size distribution and stability of a black soil in Northeast China was studied.Method Soil samples collected in 2001 prior tillage experiment and 2008 after tillage management implementing in place for 7 years were used.Tillage treatments include no-tillage(NT),moldboard plow(MP) and ridge tillage(RT).The contents and distribution of water stable and dry aggregates were determined for soils in 0-30 cm depth.Result Compared with the background values in 2001,water stable macro-aggregates increased in 0-5 cm in all tillage treatments in 2008,and was 4.78 and 3.38 times greater in RT and NT,respectively,compared with corresponding values in 2001,and all these were significantly higher than the values of MP soil in 2001(P0.05).Water stable micro-aggregates(0.25-0.053 mm) showed an opposite tendency.The content of 8 mm dry aggregates followed the order of RTNTMP2001 at 0-10 cm depth,among those RT was significantly higher than MP(P0.05).Dry aggregates(0.25-1 mm) increased in the order of RTNTMP2001,displaying a pattern opposite to 4 mm ones.Mean weight diameter and 0.25 mm aggregates contents were greater in 2008 than in 2001,and those two values were far greater in dry-sieving than in wet-sieving which indicates water stable aggregates representing a small proportion of bulk soil.Structure deterioration rate and index of unstable aggregates in 2008 decreased in the order of MPNTRT at 0-30 cm depth,and the values were apparently less than that in 2001 except in 5-20 cm MP soil.Conclusion Consequently,conventional tillage is undesirable for soil structure characters while conservation tillage,especially RT could promote the formation of stable macro-aggregates and contribute to black soil structure improvement in Northeast China.
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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 | 0.001 | 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 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".