Growth of Spondias tuberosa Irrigated With Saline Water
Bibliographic record
Abstract
Spondias tuberosa is a fruit tree species and its production is exploited by extractivism. The expansion of the planted area may be favored by using irrigation with saline water. Thus the objective of the present study was to assess the initial growth of S. tuberosa plants irrigated with saline water. The study was carried out in 12 L pots containing substrate composed of oxisol, sand and manure at 3:1:0.5. Respectively, in a greenhouse at the State University of Goiás, Campus Ipameri, Brazil. A completely randomized design was used with five treatments and six replications consisting of S. tuberosa plants irrigated with water with electric conductivity of 0 dS m-1; 2 dS m-1; 4 dS m-1; 6 dS m-1 and 8 dS m-1 for 40 days. The growth of the S. tuberosa plants was significantly affected by the salinity of the irrigation water. The plants did not show visible symptoms of toxicity but the saline conditions were enough to reduce the start of new leaves and growth as a whole. The expressive effect of salinity on dehydration of S. tuberosa plants, manifested by the low relative water content, transpiration and accentuated leaf fall, indicated that using saline water on S. tuberosa plants at the initial growth stage may result in significant delay in development and may influence the adult plant.
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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 | 0.001 |
| 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".