Calcium effects on root cell wall composition and ion contents in two soybean cultivars under salinity stress
Bibliographic record
Abstract
An, P., Li, X., Zheng, Y., Eneji, A. E. and Inanaga, S. 2014. Calcium effects on root cell wall composition and ion contents in two soybean cultivars under salinity stress. Can. J. Plant Sci. 94: 733–740. It has been widely suggested that calcium (Ca) application ameliorates salt stress, but characteristic changes in root cell wall due to Ca application under saline conditions are poorly documented. Our objectives were: (1) to determine the effect of Ca on root cell wall composition, using two soybean cultivars differing in sensitivity to salt stress and (2) to understand the relationship between the internal effects of sodium–calcium interaction on the root cell wall. Uniform seedlings were transplanted into mixed solutions of NaCl (0, 40 mM,) and CaCl2 (0, 0.5, 2 mM). Root lengths were measured after an exposure of 14, 24 and 40 h to the treatments and cell wall analysis performed for total sugars, uronic acid and ion contents. Without salinity stress, Ca application caused no significant changes in root growth and cell wall constituents in both cultivars. However, it did ameliorate the decrease in the amount of cell wall under stress, especially the pectin fraction. Both cell wall and cellular Ca2+ and K+ contents were significantly increased by additional Ca2+ under saline condition. Therefore, by applying Ca2+, the maintenance of pectin level and increase in cell wall Ca2+ may contribute to the restoration of root growth under salinity. Calcium application significantly increased the pectin level under salinity and soybean root growth also showed notable restoration. One way Ca ameliorates salt toxicity may be by maintaining the composition of the cell wall. This ameliorative effect was more conspicuous in the salt-tolerant cultivar, Dare, than the salt-sensitive cultivar, Touzan 69.
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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 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 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".