Salt Tolerance Domestication in Pitaya: Genetic Regulation of Ion Homeostasis, Osmoregulation, and Root System Architecture
Bibliographic record
Abstract
Pitaya, due to its heat, drought and poor soil tolerance, is widely cultivated in saline-alkali lands in Southeast Asia, the Middle East and other regions. But, salt stress remains an important factor affecting its yield and growth. To enhance its adaptability in saline-alkali environments, this study has sorted out the genetic regulatory mechanism of pitayat's salt tolerance, focusing on three major aspects: ion balance, osmotic regulation and root structure. Several key genes, like HuTZF3 , HuERF1 and HuBADH , have been identified in the research, which play significant roles in regulating ion transport, antioxidant response and root development. Based on transcriptome and functional verification data, a regulatory network of these genes has been initially established. The study also summarized several current strategies for salt-tolerant breeding, including field screening, MAS, GS and gene editing. The results show that, if the salt tolerance potential of wild resources is combined with precise molecular tools, it is expected to accelerate the breeding process of new salt-tolerant varieties. This study provides ideas and technical paths for the in-depth research, and breeding application of pitaya's salt tolerance.
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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) | 0.000 | 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) | 0.001 | 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".