Biomass and Rootstock Quality of Guava (Psidium guajava L.) Saline Water Irrigated under Nitrogen Fertilization
Bibliographic record
Abstract
The increase in N concentration in the root zone of plants under saline conditions can inhibit the absorption of chloride and reduce the osmotic, toxic and nutritional effects caused by this ion. Thus, this study aimed to evaluate biomass and rootstock quality of guava. cv. Paluma irrigated with saline water under four N rates. The experiment was carried out in a greenhouse at the Center of Science and Agri-food Technology of the Federal University of Campina Grande (UFCG) at Pombal-PB, Brazil. The experimental design was randomized block with a 5 × 4 factorial arrangement. The treatments were levels of electrical conductivity of water - ECw (0.3. 1.1. 1.9. 2.7 and 3.5 dS m-1), with 70, 100, 130 and 160% of the N rate recommended for guava seedlings (541, 773, 1004.9 and 1236.8 mg N dm-3 of soil) and four replicates totaling 80 plots, each one with five plants. Salt stress caused by electrical conductivity of irrigation water of 1.4 dS m-1 onwards affected negatively the formation of phytomass of guava cv. Paluma rootstock, and this effect was mitigated on root dry matter and Dickson quality index by the increase in nitrogen rate up to 819.38 mg of N dm-3 of soil.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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) | 0.001 | 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".