Resposta de plantas micropropagadas de abacaxizeiro à inoculação de bactérias diazotróficas em casa de vegetação
Bibliographic record
Abstract
O objetivo deste trabalho foi selecionar e avaliar bactérias diazotróficas isoladas de abacaxizeiro (Ananas comosus (L.) Merril) no desenvolvimento de cultivares micropropagadas da mesma espécie em casa de vegetação. Plantas da cultivar Perolera foram submetidas à inoculação com Asaia bogorensis (AB219) e cultivadas em tubetes, durante 145 dias, com as misturas: casca de arroz carbonizada, folha de carnaubeira triturada e vermicomposto; casca de arroz carbonizada, pó da casca do coco maduro e vermicomposto; casca de arroz carbonizada, vermiculita e vermicomposto. Plantas da cultivar Primavera receberam inóculos com o AB219 e bactérias relacionadas a Burkholderia cepacia (AB202 e AB213), enquanto plantas das cultivares Pérola e Smooth Cayenne receberam AB219 e AB213, sendo cultivadas, por 140 dias, em tubetes com a mistura de vermicomposto e vermiculita. A colonização dos abacaxizeiros pelas bactérias diazotróficas foi confirmada. As plantas da cultivar Perolera cresceram melhor em casca de arroz carbonizada, vermiculita e vermicomposto e responderam positivamente ao AB219. Já as plantas da cultivar Primavera não apresentaram resposta significativa à inoculação com AB219, AB202 e AB213. Houve incremento de 23,1% a 38,5% na matéria seca de raízes das plantas da cultivar Pérola na presença de AB213 e AB219, respectivamente. A presença de AB213 incrementou em 15,2% a matéria seca da parte aérea das plantas da cultivar Smooth Cayenne. Os resultados revelam a eficiência de bactérias diazotróficas na promoção do crescimento de abacaxizeiros.
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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) | 0.001 | 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".