Research Progress on Waterlogging Tolerance of <i>Cucurbit</i> Crops
Bibliographic record
Abstract
As one of the most frequent natural disasters in China, flooding seriously affected the plant growth and development, decreased the yield and quality of Cucurbit crops seriously, and thus led to huge economic losses. Here, we reviewed the effects of waterlogging stress on root growth, respiration, leaf photosynthesis and reactive oxygen species metabolism in Cucurbit crops. In order to response to waterlogging, the plants promote the formation of adventitious roots mediated by ethylene, lower the aerobic respiration, and induce the activity of antioxidant enzymes and the synthesis of antioxidant substances. Moreover, we summarized the identification indexes of waterlogging tolerance such as the loss rate of chlorophyll. In addition, we reviewed the progress of genetic breeding for waterlogging tolerant cultivars from three aspects, including traditional breeding, molecular marker-assisted breeding and genetic engineering breeding. Besides, we highlighted the future research direction. The purpose of this review was to understand the mechanism of waterlogging tolerance and to provide a theoretical basis for the breeding of waterlogging resistant cultivars in Cucurbit plants.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".