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Record W3201856542 · doi:10.53660/conj-145-236

Morfologia, valor nutritivo e anatomia de Brachiaria brizantha sob doses de fósforo e idades de corte

2021· article· pt· W3201856542 on OpenAlexaff
Andréa Krystina Vinente Guimarães, José Cardoso Pinto, Valdemar Faquin, Evaristo Mauro de Castro, Paulo Fernandes Boldrin, Mírian Rabelo de Faria, Julian Vanessa Nascimento Marinho

Bibliographic record

VenueConjecturas · 2021
Typearticle
Languagept
FieldAgricultural and Biological Sciences
TopicAgricultural and Food Sciences
Canadian institutionsDiscovery Air (Canada)
Fundersnot available
KeywordsAnimal scienceChemistryMolecular biologyBiologyAnatomy

Abstract

fetched live from OpenAlex

Objetivando avaliar o efeito de doses de fósforo e idades de corte na morfologia e valor nutritivo de folhas de B. brizantha Stapf cv. Marandu e correlacionar características anatômicas com o valor nutritivo, foi conduzido um experimento inteiramente casualizado com 4 repetições, em esquema fatorial 3 x 5, sendo 3 idades de corte (28, 56 e 84 dias) e 5 doses de P (20, 200, 400, 600 e 800 mg.dm-3). O capim-marandu foi cultivado em vasos de 4 dm3. Foram medidas as características morfológicas. E confeccionadas lâminas das folhas e as secções fotomicrografadas foram as áreas do esclerênquima (ESC), da bainha parenquimática dos feixes (BPF), do metaxilema (MET), do floema, das células buliformes, espessura do mesofilo (MES), das epidermes e a distância entre feixes. Determinou-se a produção de MS, e os teores de proteína bruta (PB), fibra em detergente neutro (FDN), fibra em detergente ácido (FDA), lignina, a digestibilidade in vitro da matéria seca (DIVMS). O aumento nas doses de P e idades de corte proporcionou aumento na MS e redução na DIVMS e PB. Houve correlações positivas entre o MET e FDA; mesofilo, células buliformes e BPF com a DIVMS e PB; e foram negativas entre floema, MET e ESC e PB.

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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.003
Threshold uncertainty score0.006

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)0.0020.000

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 head0.022
GPT teacher head0.250
Teacher spread0.228 · 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 designObservational
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
Published2021
Admission routes1
Has abstractyes

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