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Alimentación de cuyes en la fase de crecimiento en base a gramíneas tropicales de Morona Santiago

2020· article· es· W3046055984 on OpenAlexvenueno aff
Luis Rojas Oviedo, Tamia Noboa Abdo, Segundo Shagñay Rea, Luis Cono Plaza

Bibliographic record

VenueConcienciaDigital · 2020
Typearticle
Languagees
FieldAgricultural and Biological Sciences
TopicAgricultural and Food Production Studies
Canadian institutionsnot available
Fundersnot available
KeywordsBiologyHumanitiesPennisetum purpureumGeographyDry matterArtAnimal science

Abstract

fetched live from OpenAlex

La alimentación de cuyes en la fase de crecimiento en base a gramíneas tropicales se desarrolló en los predios de la ESPOCH Sede Morona Santiago, para lo cual se utilizaron 20 cuyes de 60 días de edad, los mismos que se distribuyeron en cinco tratamientos (Tripsacum laxum, Pennisetum sp, Pennisetum purpureum y Axonopus scoparius) incluido el control y cuatro repeticiones, cada unidad experimental estuvo conformado por un animal el mismo que tuvo un peso promedio de 409.6 g. a los cuales se le alojaron aleatoriamente en una jaula metabólica individual para observar el comportamiento productivo y aprovechamiento del pasto, y asignar los tratamientos al azar a cada cobayo. Diariamente se suministró alimento deshidratado previo el registro de su peso, de la misma manera se pesó los residuos de forraje y las excretas, datos que sirvieron para el análisis. Una vez recopilada y procesada la información obtenida se pudo notar que el peso de los cuyes a los 60 días de investigación, consumo de materia seca, cantidad de heces producida, materia seca aprovechada no registraron diferencias significativas no así, el aprovechamiento de la proteína, grasa, fibra, Fibra Detergente Ácida (FDA) y fibra detergente neutra (FDN) registró diferencias estadísticas. Concluyéndose que el balanceado dispone de mayor cantidad de proteína y grasa aprovechada, aunque el contenido de fibra es escaso, de la misma manera la disponibilidad de FDN y FDA en el pasto Tripsacum laxum está en menor proporción al contrastar con el resto de pastos utilizados en la investigación.

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)0.000
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation 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 score0.481
Threshold uncertainty score0.749

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0010.000
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 head0.025
GPT teacher head0.247
Teacher spread0.222 · 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 teacher head, 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
Published2020
Admission routes1
Has abstractyes

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