Scheduling drip irrigation for ginseng (<i>Panax quinquefolius</i> L.) grown under straw and bark mulch
Bibliographic record
Abstract
Responses of ginseng to drip irrigation regimes and organic mulches were determined in two experiments beginning in 1998 and 1999. Treatments were four soil water content thresholds for irrigation: 0, 0.08, 0.12 and 0.16 m 3 m -3 (θ 0 , θ 8 , θ 12 , and θ 16 , respectively); combined with either straw or bark mulch. In its first growing season, ginseng did not require irrigation in 1999 or 2000. In subsequent years, irrigation was generally more frequent when applied at higher moisture threshold levels, but precipitation affected irrigation frequency under all treatments. Water use increased with crop age to 3yr, to about 65% of the requirement of unshaded horticultural crops. Seed yield from 3-yr-old plants under straw mulch in 2001 was greater in response to θ 12 and θ 16 than to θ 8 or θ 0 . Root yield response to irrigation threshold was linear for 2- and 3-yr- old plants under straw mulch in 2001, and quadratic for 3-yr-old plants under bark mulch in 2002. The optimal threshold to initiate drip irrigation was approximately 65% of field capacity. Key words: Root, soil water, water use
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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 | 0.002 | 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 | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| 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".