Effect of water stress on dry mass accumulation and allocation in sweet potato based on stable isotope analysis
Bibliographic record
Abstract
Zhang, H., Zhu, L., Zhang, C., Ning, Y. and Zhang, Y. 2015. Effect of water stress on dry mass accumulation and allocation in sweet potato based on stable isotope analysis. Can. J. Plant Sci. 95: 263–271. Pot experiments were conducted to study the effect of water stress on the dry mass accumulation, allocation, ribulose-1, 5-bisphosphate carboxylase/oxygenase (Rubisco) activity and stable carbon isotope composition in sweet potato (Ipomoea batatas L.). Three water regimes (50, 75 and 100% field water capacity, respectively) were investigated. Water stress effects on dry mass accumulation, allocation, gas exchange, stable carbon isotope composition and Rubisco enzyme activity were detected in sweet potato at different stages (seedling, vegetative, early maturity, and late maturity). In addition, relationships between Rubisco activity and photosynthetic rate, dry stress allocation and Δ13C under different water regimes were explored. The allocation of dry mass and Δ13C in leaves, petioles, stems and roots exhibited highest level in soil with 100% moisture content at different growth stages. The photosynthetic rate, transpiration, stomatal conductance, and RuBisCo activity of sweet potato at different growth stages also increased with increasing soil water content. The regression equations between the activity of RuBisCo and photosynthetic rate in 50, 75 and 100% field capacity were y=0.675x – 1.846, y=0.798x − 1.370, and y=0.516x+3.887. A positive correlation between dry mass allocation and Δ13C was observed. Water stress could affect dry mass accumulation, allocation, gas exchange, RuBisCo activity, and Δ13C content in sweet potato organs during plant development stages.
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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) | 0.000 | 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".