Seedling Emergence of Common Bean Accessions under Suboptimal Temperature
Bibliographic record
Abstract
Suboptimal seedbed temperatures in early spring limit common bean (Phaseolus vulgaris L.) seedling emergence. This field study evaluated emergence of cultivated and wild common bean when subjected to suboptimal seedbed temperature. One hundred and eighty common bean accessions and three control cultivars were planted on 3 May at Saskatoon, Sask., in 2000 and 2001. Percent emergence, cumulative thermal units to 50% anthesis and to 50% maturity, and seed yield were determined. The seedbed temperature during the 2 weeks after planting ranged between 1 and 18 °C in 2000, and 5 and 17 °C in 2001. At 20 days after planting, emergence in accession G8823 was significantly greater than the control cultivars in 2000. `CDC Nighthawk', a black bean control cultivar was comparable in emergence to G8823 at 30 days after planting. A similar trend was observed in 2001 with the exception that emergence was greater at 30, 40, and 50 days after planting due to a warmer seedbed. `CDC Nighthawk' was among the earliest to mature, although it required a significantly higher cumulative thermal unit to anthesis compared to most other accessions. G8823 could serve as a parent to develop elite bean cultivars with emergence at suboptimal seedbed temperatures.
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.
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".