QUALIDADE DO ABACAXIZEIRO ‘BRS IMPERIAL’ EM FUNÇÃO DE DOSES DE N-K
Bibliographic record
Abstract
A qualidade do fruto do abacaxizeiro é influenciada pelos macronutrientes, principalmente N e K. Este trabalho avaliou a influência de doses de N e K2O sobre as características de qualidade físico-químicas e sobre os defeitos externos e internos dos frutos de abacaxizeiro ‘BRS Imperial’. Aplicaram-se quatro doses de N (0; 160; 320; 550 kg ha-1) e quatro de K2O (0; 240;480 e 600 kg ha-1), em delineamento experimental em blocos ao acaso, com cinco repetições, em um fatorial completo 42. As doses de N e K2O influenciaram todas as variáveisfísico-químicasestudadas, exceto a firmeza dos frutos, que apresentaram média de 10,7 kgf. As doses de N reduziram a acidez titulável (AT) e os sólidos solúveis (SS) e aumentaram o pH e o ratio dos frutos, apresentando, na dose de 550 kg ha-1 de N, os valores médios de 0,31%, 17,9 oBrix, 4,02 e 57,7, respectivamente. As doses de K2O aumentaram AT e os SS, e reduziram o ratio dos frutos, apresentando, na dose de 600 kg ha-1 de K2O, os valores médios de 0,41%, 19,4 oBrix e 47,9, respectivamente. O pH respondeu de forma quadrática, com o valor mínimo de 3,95 na dose de 273 kg ha-1 de K2O. As correlações significativas de Pearson indicaram que plantas com maiores teores foliares de N na época da indução floral produziram frutos com menor AT e SS, enquanto aquelas com maiores teores foliares de K apresentaram maior AT e SS nos frutos. Com aplicação de 550 kg ha de-1 N, os frutos apresentaram translucidez entre 50 e 75% sem adubação potássica e de menos de 25% de translucidez na dose de 400 kg ha-1 de K2O.
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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) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".