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Record W2943608991 · doi:10.5539/jas.v11n6p469

Expression of Enzymes During the Germination of Seeds in Endangered Cerrado Species

2019· article· en· W2943608991 on OpenAlexvenueno aff
Janaína Guarieiro Ribeiro de Assis, Eduardo Resende Girardi Marques, M. L. M. Carvalho, Raquel Maria Oliveira Pires, C. A. Lopes, Rafael Pereira

Bibliographic record

VenueJournal of Agricultural Science · 2019
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicSeed Germination and Physiology
Canadian institutionsnot available
Fundersnot available
KeywordsGerminationRadicleMalate dehydrogenaseCatalaseSeedlingSuperoxide dismutaseBiologyEnzymeEsteraseBotanyAlcohol dehydrogenaseHorticultureBiochemistry

Abstract

fetched live from OpenAlex

The objective of this study was to evaluate the enzymes expression during the seeds germination process of ever-lasting species Comanthera elegans and Comanthera bisulcata. For the evaluation of the seeds physiological potential, the germination test and index of germination speed were performed. The expression of enzymes esterase (EST), malate dehydrogenase (MDH), alcohol dehydrogenase (ADH), superoxide dismutase (SOD), catalase (CAT) and endo-β-mannanase during the germination process were evaluated. The expression of these enzymes was evaluated in dried seeds, in the protrusion, in the emergence of the primal leaf, at the beginning of the formation of normal seedling and dormant seeds at the end of the germination process. To the extent that the germination process occurs in the species C. bisulcata and C. elegans there is greater expression of the enzyme CAT and lower of the enzyme EST. There is variation in the expression of the enzymes SOD, ADH and MDH in seeds of both species during the germination process. The enzyme endo-β-mannanase presents greater activity in seeds with radicle protrusion in the two studied species.

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 machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.004

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.014
GPT teacher head0.226
Teacher spread0.212 · 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; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
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
Published2019
Admission routes1
Has abstractyes

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