Mombaça Grass Responds to Partial Replacement of K+ by Na+ with Supplemental Ca2+ Addition in Low Fertility Soil
Bibliographic record
Abstract
Partial replacement of potassium by sodium may be an alternative to reduce the cost of pasture fertilization and reduce the dependence on imported potassium sources. The objective of this study was to evaluate different sources and doses of calcium as enhancers of sodium effect on the partial replacement of potassium by sodium. Here, Mombaça grass (Megathyrsus maximus) was grown on low fertility soil. The experiment was conducted in a factorial (3 × 5) based on a completely randomized design with 4 replications as follow: three sources of Ca2+ (dolomitic limestone, agricultural gypsum and calcium chloride), five doses of Ca2+ (0, 10, 20, 30 and 40 mg dm-3) and two additional treatments (fertilization with 100% of K+ without application of Ca2+ and one control without any fertilization). Potassium was partially replaced (25%) by Na+ prior to Ca2+ additions. Plant height, growth rate, dry weight, Na+, K+, K+/Na+ and shoot proline contents were evaluated as well as Na+ levels and the electrical conductivity of the soil. The results show that the addition of Ca2+ provided better plant development when K+ was partially replaced by Na+ and that the supply of Ca2+ reduced the absorption of sodium by plants. The partial replacement of K+ by Na+ did not increase soil salinity or caused stress to the plants.
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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 | 0.000 |
| 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".