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Record W4401352855 · doi:10.32854/agrop.v17i7.2688

Evaluation of three forages as a source of fiber in diets of fattening rabbits in Aguascalientes, Mexico

2024· article· en· W4401352855 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueAgro Productividad · 2024
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicRabbits: Nutrition, Reproduction, Health
Canadian institutionsMitel (Canada)
Fundersnot available
KeywordsForageAnimal scienceFiberBiologyAgronomyChemistry

Abstract

fetched live from OpenAlex

Objective: To evaluate three forages as a source of fiber in the diets of fattening rabbits. Design/Methodology/Approach: Whole grain diets with forage oat, mesquite pod, and alfalfa were used. Thirty-six weaned male rabbits were randomly distributed into three treatments (T1, forage oat diet; T2, mesquite pod diet; T3, alfalfa diet). Feed consumption, daily weight gain, total weight gain, and feed conversion were recorded. The animals were slaughtered to evaluate carcass yield. The data were statistically evaluated by analysis of variance and Tukey’s test. Results: T1 recorded greater fattening than both T2 and T3 (P<0.05) and the last treatment surpassed T2 in daily weight gain, total weight gain, and feed digestibility. Regarding feed conversion, T1 and T3 had lower results than T2. In carcass yield, T1 was higher than T2 and T3 —which, on its turn, surpassed T2. Finally, no differences were observed in feed consumption between treatments (P> 0.05). There were also no significant differences in growth. Study Limitations/Implications: Mexicans have a low consumption of rabbit meat. The mesquite pod could be a viable alternative due to its low cost and availability in semi-arid areas. Findings/Conclusions: Forage oat recorded the best productive parameters, followed by alfalfa and mesquite pod; however, the latter had a greater economic advantage.

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.

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)0.003
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 score0.610
Threshold uncertainty score0.436

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
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 head0.040
GPT teacher head0.285
Teacher spread0.246 · 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