Pre-plant chilling requirements for cloving of spring-planted garlic
Bibliographic record
Abstract
Fall-planted garlic (Allium sativum L.) has a higher number of cloves per bulb and higher bulb yield than spring-planted garlic. Many garlic growers, however, plant their crops in the spring to avoid losses associated with winterkill. Pre-plant storage temperature of cloves affects bulbing and cloving of the subsequent crop. Studies were conducted to determine the optimum duration of pre-plant chilling (4 °C) treatment for enhanced cloving and increased bulb yield of three spring-planted garlic cultivars (an unnamed local selection, California Early and California Late). In a greenhouse study, California Early and California Late cloves were planted after receiving low-temperature treatments of 4 °C for 0 (control), 30, 45, 60 or 75 days, whereas, for field studies, cloves from greenhouse-grown bulbs of all three cultivars were planted, and chilling treatments were similar to those for the greenhouse study.Pre-plant chilling treatments of cloves produced significant increases in cloving and bulb yield for all cultivars. In general, chilling treatment periods exceeding 30 d (for field) and 45 d (for greenhouse) resulted in improved cloving in bulbs of all cultivars. Improved cloving resulted in a significant increase in both bulb diameter and bulb yield per plant, particularly in greenhouse-grown garlic. Pre-plant chilling was not a pre-requisite for bulb formation, but it was essential for cloving. In conclusion, results indicate that better cloving and bulb yields are obtained if cloves have been stored at 4 °C for 45–60 d prior to field and greenhouse planting, respectively. Key words: Allium sativum, bulbing, low temperature treatment
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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 | 0.000 |
| 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 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".