Ameliorative Effects of Supplemental Nutrition on Growth and Essential Oil Yield of Saline Irrigated <i>Satureja montana</i>
Bibliographic record
Abstract
In this present study, the response of Satureja montana plant to tap water (0.4 dS/m) and saline water irrigation (4 dS/m) treatments (NaCl, NaCl+CaCl2, NaCl+Na2SO4, NaCl+(NH4)2SO4, NaCl+CaCl2+Na2SO4, NaCl+CaCl2+(NH4)2SO4, NaCl+Na2SO4+(NH4)2SO4, and NaCl+CaCl2+Na2SO4+(NH4)2SO4) was observed. The results showed significant effects of saline water on growth, essential oil content and yield and proline accumulation of the plant. As compared to tap water, saline water irrigation decreased plant height, number of branches, fresh and dry weights of herb, essential oil content and yield, but increased proline content. Among the saline irrigation treatments, the highest proline and the lowest plant height, number of branches, fresh and dry weights of herb, essential oil content and yield were recorded in NaCl alone. The results revealed that the reduction in growth and essential oil content and yield due to saline stress was alleviated by the addition of Ca2+, NH4+, and SO4. The chemical composition analysis showed that carvacrol, camphor, m-cymene, β-phellandrene and γ-terpinene were the major compounds of the essential oil. The highest carvacrol (68.1 %) was obtained from plants irrigated with NaCl+CaCl2+(NH4)2SO4. However, plants irrigated with tap water gave higher β-phellandrene (12.6 %) and camphor (43.4 %). NaCl treatment gave higher m-cymene (14.1%); and higher γ-terpinene(12.2 %) was obtained from the NaCl+CaCl2 treatment. Based on these results, it can be concluded that application of NaCl with Ca2+, NH4+, and SO4 alone or mixed can lessen the harmful effects of NaCl. Therefore, the application of Ca2+, NH4+, and SO4 is recommended to increase salt stress tolerance of Satureja montana.
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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) | 0.001 | 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".