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Record W4414830667 · doi:10.1093/jas/skaf300.693

PSX-26 Effect of physically effective neutral detergent fiber and starch inclusion on ruminal motility for feedlot cattle.

2025· article· en· W4414830667 on OpenAlexaff
M. C. Pereira, Robson Dinardi, Gabriela Fogaça, C. L. de Carvalho, Pedro Tonelli, D. D. Millen, G.B. Penner, Zachary K Smith

Bibliographic record

VenueJournal of Animal Science · 2025
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicBee Products Chemical Analysis
Canadian institutionsUniversity of Saskatchewan
Fundersnot available
KeywordsNeutral Detergent FiberDry matterLatin squareSilageStarchFiberRumenDigestion (alchemy)Feedlot

Abstract

fetched live from OpenAlex

Abstract This study was designed to evaluate the effects of physically effective neutral detergent fiber (peNDF) and starch inclusion rate on ruminal motility, pool sizes, and ruminal neutral detergent fiber (NDF) turnover rate in finishing cattle. Eight ruminally cannulated Nellore steers (468.6 ± 87.5 kg), were housed in individual pens (21 m2) and assigned to a replicated 4×4 Latin square design, balanced for carryover effects. The experiment followed a 2×2 factorial arrangement of treatments, with two levels of peNDF (low: 8.5% of diet dry matter (DM) vs. high: 10.3% of diet DM) and two levels of starch inclusion (22.5% vs. 45.0% of diet DM). Concentrate feedstuffs were ground through a 4-mm sieve, and all ingredients were included in the peNDF calculation. Each period consisted of 21 days, including 14 days for adaptation and 7 days of sampling. Corn silage was harvested from a single field and chopped to a theoretical chop length of 2.0 (low peNDF) or 9.0 mm (high peNDF), and included at 20% of DM in all diets. In addition, diets contained finely ground corn grain, soybean hulls, soybean meal, citrus pulp, mineral, urea, and sodium monensin. Dry matter intake, expressed in kg/d and as a percentage of body weight, was not affected by peNDF, starch, or the interaction (P≥0.15). The peNDF inclusion did not affect (P≥0.11) neutral detergent fiber (NDF), and undigested NDF (uNDF) intake. However, feeding high peNDF increased peNDF intake (high: 1.4 vs. low: 1.1 kg; P=0.05). In contrast, feeding high starch decreased NDF (high: 3.0 vs. low: 5.2 kg; P< 0.01), peNDF (high: 2.1 vs. low: 2.3 kg; P=0.05), and uNDF intake (high: 1.4 vs. low: 1.7 kg; P< 0.01). Cattle fed low peNDF and high starch had greater rumen contraction frequency (interaction, P=0.05) when compared with the other treatments. Cattle fed low starch had greater time between contractions (high: 7.7 vs. low: 7.2 s; P=0.03), contraction duration (high: 4.3 vs. low: 3.8 s; P< 0.01), and contraction amplitude (high: 2.8 vs. low: 2.0 mmHg×s; P=0.05). Total ruminal digesta pool size (kg as is), DM, NDF, uNDF, potentially degradable NDF, and NDF passage rate were not affected by peNDF, starch, or the interaction (P≥0.14). Feeding low starch inclusion increased the NDF degradation rate (low: 3.5 vs. low: 1.0 %/h; P< 0.01). Thus, increasing theoretical chop length, a practical approach to manipulate peNDF while keeping the same dietary NDF from roughage had minimal effects on ruminal motility. However, low starch inclusion increased contraction duration, amplitude, and NDF degradation rate. These findings suggest that starch level exerts a stronger influence on ruminal motility in feedlot Nellore cattle than peNDF, with potential implications for ruminal health and nutritional strategies.

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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)0.001
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: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.367
Threshold uncertainty score0.244

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
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 head0.008
GPT teacher head0.267
Teacher spread0.258 · 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 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 routes1
Has abstractyes

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