Effect of Nitrogen and Potassium Fertilization Doses on Elephant-Grass Genotypes for Energy Purposes
Bibliographic record
Abstract
In view of the current global energy landscape, to develop alternative energy mechanisms to the oil has become essential. For that, biomass as well as the use of elephant-grass present themselves as attractive choices for energy purposes. That culture has a high growth prospect, as it contains characteristics such as high production, biomass quality, and high photosynthetic capacity. The purpose of this work was to assess the response of eight elephant-grass genotypes to nitrogen and potassium fertilization from the evaluation of morpho-agronomic traits. It was used a randomized block experimental design with three replications in the factorial scheme within a subdivided plot composed of principal factor (plots): genotypes and secondary components (subplots): potassium (2 levels) × nitrogen (3 levels)—200 × 400, 200 × 1000, 200 × 1600, 500 × 400, 500 × 1000, and 500 × 1600 kg ha-1. There was an adjustment of first degree linear model of the regression for all traits in at least one genotype. For DMP, the Capim Cana D’África, CPAC, and IJ 7139 genotypes indicated an inversely proportional response to the increasing of N in the fertilization. The response according to the N increasing in the fertilization was directly proportional for the CPAC genotype in relation to the NP, and for the Cana D’África, CPAC, and IJ 7139 genotypes in relation to the ALT. For SD, the CPAC and Vruckwona genotypes showed a positive effect on the increasing doses of N, and the IJ 7139 genotype, a negative correlation. The results are quite promising and ensure the use of the eight elephant-grass genotypes as an alternative source for biomass production.
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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 | 0.001 | 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".