Inter- and Double-crop Yield Response to Alternative Crop Planting Dates
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Planting date is an integral part of a successful double-crop system, and in intercropping it can affect crop yields. Cool-adapted species that can be frost-seeded benefit from an earlier planting date by taking advantage of unused light and space between rows of slow-growing spring or fall crops such as winter wheat. This research evaluated differences between early frost-seeding, mid-season relay-intercropping, and double-cropping planting dates of alternative crops (buckwheat, sunflower, radish, faba bean, and hairy vetch) on wheat and alternative crop yields. Field research took place in 2012 and 2013 near Novelty, Missouri. Wheat yields were affected by cropping system and alternative crop selection with significant differences up to 455 kg ha-1. Alternative crop yields were harder to determine. In 2012, emergence occurred but drought precluded alternative crop yields for the frost-seeded and relay-intercrop systems. However, in 2013, planting date and cropping system affected alternative crops differently, with land equivalent ratio (LER) values showing an advantage for alternative crops when they survived past emergence. In both years, frost-seeding provided yield advantages among almost all alternative crops. This research shows that farmers could increase their yield potential for a given field and perhaps produce additional forage or green manure yields in a year with a less severe drought by using alternative crops.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 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 it