Acúmulo e translocação de cobre e zinco em plantas de Crambe abyssinica
Bibliographic record
Abstract
Crambe (Crambe abyssinica) é uma cultura promissora para a produção de biodiesel. No entanto, não há muita informação disponível sobre as técnicas e pesquisas sobre o melhor desempenho em diferentes regiões para explorar o seu potencial. Objetivou-se avaliar o efeito de cobre e zinco no acúmulo e distribuição destes elementos nesta planta. O estudo foi realizado em casa de vegetação e constou de dois experimentos independentes, em delineamento experimental inteiramente casualizado, com três repetições. Em um deles, os tratamentos consistiram em cinco doses de cobre, ou seja, 0, 10, 15, 20 e 25 mg kg-1 e no outro , cinco doses de zinco, 0, 20, 30, 40 e 50 mg kg-1. Após 100 dias de germinação as plantas foram colhidas e avaliadas os níveis de cobre e zinco em tecidos de plantas. Os dados foram submetidos à análise de variância e comparação de médias pelo teste de Tukey a 1 e 5% de significância. Os teores de cobre e zinco aumentaram significativamente na fitomassa do crambe em função da aplicação destes elementos no solo. Os acúmulos de cobre e zinco nas plantas de crambe obedeceram às seguintes ordens, respectivamente: raiz > parte aérea; parte aérea > raiz. O índice de translocação do zinco foi maior que a do cobre nas plantas de crambe.Content and translocation of copper and zinc in plant Crambe abyssinicaAbstract: Crambe is a promising crop for biodiesel production. However, there is no much information available about techniques and research regarding the best performance in different regions to explore its potential. The objective of this study was to evaluate the effect of copper and zinc in the accumulation and distribution of these elements in this plant. The study was carried out in a greenhouse and it consisted of two independent experiments in completely randomized design, with three replications. Two metals with five levels were applied: 0, 10, 15, 20 and 25 mg∙kg−1 for copper and 0, 20, 30, 40 and 50 mg∙kg−1 for zinc. After 100 days of germination the plants were harvested and assessed the levels of copper and zinc in plant tissues. Data were subjected to analysis of variance and comparison of means by Tukey test at 1 and 5% significance. Copper and zinc content increased significantly in the biomass of crambe due to the application of these elements in the soil. Copper and zinc accumulation in crambe plants followed the following orders, respectively: root> shoot; shoot> root. The zinc translocation ratio was higher than that of copper in crambe 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 | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 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".