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EXTRATOS AQUOSOS DE Schinus terebinthifolius Raddi INIBEM A GERMINAÇÃO E O DESENVOLVIMENTO INICIAL DE Lactuca sativa L.

2015· article· pt· W2176976221 on OpenAlexaff
Márcia Bündchen, Jean-François Rousseau, Sabrina Letícia Couto da Silva, Ângelo Cássio Magalhães Horn, Michael Säge, William Weber Carpes, T. S. Lopes, Vivian Bamberg Corassini, Célson Roberto Canto-Silva

Bibliographic record

VenueScientiaTec · 2015
Typearticle
Languagept
FieldAgricultural and Biological Sciences
TopicAllelopathy and phytotoxic interactions
Canadian institutionsCégep de Sherbrooke
Fundersnot available
KeywordsLactucaBiologyHorticulture

Abstract

fetched live from OpenAlex

Neste trabalho, a atividade alelopática de Schinus terebinthifolius Raddi, a aroeira-vermelha, foi avaliada utilizando-se Lactuca sativa L., a alface, como planta alvo. Os bioensaios foram conduzidos em laboratório com extratos aquosos preparados a partir de folhas e frutos, resultando nos seguintes tratamentos: folha 5% (Fo5), folha 10% (Fo10), folha 20% (Fo20), fruto 5% (Fr5), fruto 10% (Fr10), fruto 20% (Fr20) e água destilada (Controle). A germinação foi acompanhada por seis dias e os resultados expressos em termos de Porcentagem de Germinação (PG), Índice de Velocidade de Germinação (IVG) e Biomassa das Plântulas (BP). Os dados foram submetidos à análise de variância (One-way ANOVA) seguida pelo teste de Tukey (p<0,05). Ápices radiculares foram processados em glicolmetacrilato para análise histológica qualitativa ao microscópio óptico. A germinação foi totalmente inibida pelos tratamentos de maior concentração (Fo20 e Fr20) e todas as variáveis analisadas apresentaram diferenças significativas com relação ao controle, exceto PG e BP no tratamento Fr5, indicando forte efeito alelopático da aroeira-vermelha. Necrose do ápice radicular e alterações celulares nas raízes submetidas aos extratos também foram evidenciadas. Os resultados sugerem que S. terebinthifolius tem potencial para ser utilizada como fonte de compostos bioativos no manejo de ervas daninhas em agroecossistemas.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.241
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0010.001
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.001

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.

Opus teacher head0.060
GPT teacher head0.298
Teacher spread0.238 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; both teacher heads agree on what is shown here.

Study designNot applicable
Domainnot available
GenreEmpirical

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".

Quick stats

Citations1
Published2015
Admission routes1
Has abstractyes

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