Effects of Water Stress on Germination and Growth of Linseed Seedlings (Linum usitatissimum L), Photosynthetic Efficiency and Accumulation of Metabolites
Bibliographic record
Abstract
Drought is a serious problem in many nations, adversely affecting both crop growth and yield. Here, we investigate the effects of water stress on growth, photosynthesis, physiology and germination in seedlings of linseed (Linum usitatissimum L). Water stress was imposed by exposing the sand-grown roots to irrigation with a range of concentrations of polyethylene glycol-6000 (PEG). Both relative growth rate (RGR) and water content (WC) decreased with increasing PEG concentration with the reductions being greatest for 20% PEG (water potential -0.58 MPa). The results show that as PEG concentration increased, the fluorescent chlorophyll and chloroplast pigments decreased but the ratio of Chl a/Chl b gradually increased. Meanwhile, shoot carbohydrate content increased slightly with increasing PEG concentration while that in the roots peaked at 5% PEG (-0.09 MPa) before decreasing at higher PEG concentrations. The content of proline in shoots and roots increased with increasing PEG concentration. With increasing PEG concentration, betaine showed a slight tendency to rise in the root, but to rise and then fall in the shoot. The results indicate that PEG-induced water stress increased the accumulations of carbohydrate, proline and betaine. These may help the linseed seedlings to survive periods of osmotic stress induced by drought and may be involved in the perception and transmission a drought signal, also playing a role in osmotic adjustment. Under water stress, the main inorganic ions involved in osmotic adjustment were K+, Na+, Ca2+ and Cl- likely thereby increasing drought resistance. The germination percentage of the seeds was severely reduced by increasing PEG concentrations, ceasing altogether at 15% PEG. Many of the seeds that remained dormant in the higher PEG concentrations germinated satisfactorily when afterwards placed in pure water. The research provides useful leads in the planned development of linseed cultivars having increased drought tolerance.
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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".