Intercropping of Maize (Zea mays) and Cotton (Gossypium hirsutum L.) vs. Monoculture: Plant Growth, Root Development, and Yield
Bibliographic record
Abstract
In Xinjiang Uygur Autonomous Region of China, we conducted an experimental study to evaluate the root morphology and crop yield for the intercropping of maize and cotton. Due to the shading effect of maize and the reduced root surface area of cotton root system, intercropped cotton yield was smaller (14.7%) than monoculture cotton yield. By contrast, intercropped maize with cotton yield was higher than monoculture maize yield. Compared with typical production of each crop separately, intercropping of maize and cotton showed several benefits: increased the land utilization rate, with a land equivalent ratio (LER) greater than 1; and increased the root length, root surface area, and light interception in maize, which contributed to an increase in maize yield.
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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 | 0.001 | 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 | 0.001 |
| 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".