Effects of Different Pollen Pollination on Comprehensive Quality of Cuiguan Pear at Harvest Date and Cold Storage Period
Bibliographic record
Abstract
This study was about the effect of different pollen pollination on fruit quality of ‘Cuiguan’ pear at harvest date and cold storage period. At Songjiang District in Shanghai, China, the main cultivated ‘Cuiguan’ pear was hand pollinated with 6 pollen treatments (i.e.,‘Qingxiang’ pear, ‘Zaoshengxinshui’ pear, ‘Housui’ pear, ‘Wohwang’ pear, ‘Huanghua’ pear, and mixed varieties pear). Morphological parameters of fruit (fruit shape index, weight, seed number, and skin color) and quality parameters (soluble solids content, titratable acid content, firmness with peel and firmness without peel) were investigated at harvest time and during cold storage to identify the different pollens pollination effect. ‘Cuiguan’ pear fruits obtained from pollination with ‘Huanghua’ pear and ‘Wohwang’ pear recorded good appearance parameters (fruit shape index, weight, and skin color) and fresh quality (soluble solids content, titratable acid content, and palate). Among the ‘Cuiguan’ pear fruits with 6 pollen treatments, ‘Huanghua’ resulted in the largest fruits with the highest soluble solids and titratable acid contents, and ‘Wohwang’ resulted in the best cold storage quality with the highest soluble solids and titratable acid contents. This study provided a basis for the selection of pollinating pear varieties and quality improvement of ‘Cuiguan’pear in Shanghai.
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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 | 0.000 | 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 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".