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Record W4412645112 · doi:10.1093/jas/skaf230

Effects of feeding hybrid rye silage as a replacement for barley silage on feed intake, ruminal fermentation, and the site and extent of nutrient digestion in growing beef heifers

2025· article· en· W4412645112 on OpenAlexafffund
Fuquan Zhang, Rebecca S Brattain, Herman Wehrle, V.S. Baron, Gabriel O Ribeiro, G.B. Penner

Bibliographic record

VenueJournal of Animal Science · 2025
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicRuminant Nutrition and Digestive Physiology
Canadian institutionsAlberta Crop Industry Development FundAgriculture and Agri-Food CanadaAlberta EnergyBP (Canada)University of Saskatchewan
FundersMinistry of Agriculture - Saskatchewan
KeywordsLatin squareSilageDry matterPropionateAnimal scienceDigestion (alchemy)ChemistryRumenBeef cattleBiologyFermentationAgronomyFood scienceBiochemistry

Abstract

fetched live from OpenAlex

The objective of this study was to evaluate the effects of feeding hybrid rye silage (HRS) as a replacement for barley silage (BARS) on dry matter intake (DMI), ruminal fermentation, and the site and extent of digestion when fed to growing beef heifers. Eight ruminally cannulated Hereford × Simmental heifers (519 ± 25.8 kg BW) were used in a replicated 4 × 4 Latin square design with 28-d periods, including 21 d for dietary adaptation and 7 d for data and sample collection. Treatments included a control diet (BCON) that contained 59.62% BARS (harvested at the soft dough stage of maturity), 38.61% barley grain, and 1.78% of a vitamin and mineral supplement on a dry matter (DM) basis. The HRS (harvested at the boot stage of maturity) replaced 33% (RLOW), 67% (RMED), or 100% (RHIGH) of the BARS on a DM basis. Increasing HRS inclusion linearly (P = 0.04) decreased DMI, linearly increased water intake (P = 0.02) and mean ruminal pH (P < 0.01) and linearly decreased the duration that ruminal pH was < 5.8 (P = 0.04). There was no effect of HRS inclusion on total short-chain fatty acid (SCFA) concentration (P = 0.46) in ruminal fluid, but the molar proportion of acetate linearly (P < 0.01) increased while propionate and butyrate linearly decreased (P < 0.01). The NH3-N concentration linearly increased (P = 0.03) with increasing HRS inclusion. Increasing HRS inclusion increased ruminal degradability of DM, OM, and aNDFom, while there was no effect on intestinal digestibility of nutrients, either expressed as a percent of intake or percent of digesta flow. Total tract digestibility of DM (P ≤ 0.01), ADF (P ≤ 0.01), and aNDFom (P ≤ 0.01) increased with increasing HRS inclusion, but inclusion did not affect gross energy (GE) digestibility (P = 0.15) and the dietary digestible energy (DE) concentration (P = 0.17). In conclusion, the use of HRS, harvested at the boot stage, as a direct replacement for BARS, harvested at the soft dough stage, is likely to reduce DMI but improve NDF digestibility without affecting dietary DE concentration. As there was no difference in GE digestibility or dietary DE digestibility, these results demonstrate a tradeoff between greater NDF digestibility of HRS compared to BARS but reduced DMI with increasing inclusion.

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 score0.006
Threshold uncertainty score0.011

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 integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.010
GPT teacher head0.253
Teacher spread0.244 · 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

Citations0
Published2025
Admission routes2
Has abstractyes

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