Impacts of No-tillage on Earthworm and Soil bulk Density in Black Soil in Northeast China
Bibliographic record
Abstract
The tillage experiment trials were established in Dehui County,Jilin Province in 2001.The impacts of no-tillage(NT) and moldboard plow(MP) on the number of earthworms and soil bulk density of a black soil in Northeast China were studied.The tillage experiment was arranged in a randomized complete block design with four replicates.Each tillage plot was split into sub-plots with different corn-soybean rotations.Earthworm was counted two times when the corn has six leaves and in late August or early September.The data of earthworms and soil bulk density from 2004 to 2006 was analyzed using SAS.The results showed that the differences of earthworms under tillage,crop and time were significant.The results showed that the number of earthworms under NT,soybean and the first time were respectively 2.4,1.6 and 1.9 times as many as those under MP,corn and the second time.There were no significant differences of soil bulk density between tillage treatments and crops.NT increased bulk density of soil layer of 5 cm-10cm,but there was no significant differences between NT and MP.Studies showed that NT compared to MP could increase the number of earthworms and could not result in the soil becoming hard.
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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) | 0.000 | 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".