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Record W4409375079 · doi:10.3168/jds.2024-25770

Effects of a flaxseed and pea matrix on in vitro ruminal fermentation, nutrient degradability, and methane emissions

2025· article· en· W4409375079 on OpenAlexafffund
James R Vinyard, Mikayla L Johnson, Gerald K Salas-Solís, Ana Carolina Silva Vicente, Mawaddah Putri Arisma Siregar, Efstathios Sarmikasoglou, C. M. Hammond, Kaliandra Souza Alves, Lynne C. Girardin, Breeanna Kelln, R Dreger, José Arce, A.P. Faciola

Bibliographic record

VenueJournal of Dairy Science · 2025
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicRuminant Nutrition and Digestive Physiology
Canadian institutionsUniversity of Regina
FundersO and T FarmsUniversity of Florida
KeywordsNutrientFermentationMethaneAgronomyMethane emissionsRumenChemistryFood scienceBiologyAnimal scienceEnvironmental science

Abstract

fetched live from OpenAlex

The objective of this study was to determine the impacts of feeding a rumen-protected matrix of fat and protein from flaxseed and peas (LinPRO-R [LIN]; ∼21% fat, 24% CP, and 10.07% n-3 FA; % of DM) on ruminal fermentation, nutrient degradability, and methane emissions, in vitro. Treatments were: 0% (0P), 2.5% (2.5P), 5% (5P), and 7.5% (7.5P) of DM inclusion of LIN, with LIN replacing portions of dried distillers grains and calcium salts of long-chain fatty acids in the diet to maintain similar levels of CP and ether extract (EE). In experiment 1, we used 3 independent runs with 4 replicates per treatment, and 0.5 g of each TMR (16% CP, 33% NDF, 28% starch, 4.2% EE; as % of DM) was incubated in buffered ruminal content for 24 and 48 h, for a total of 6 runs, in glass serum bottles. Gas pressure was measured at 0, 3, 6, 9, 12, 24, and 48 h to estimate total gas and methane productions in the headspace and VFA and lactate concentrations in the fermentation liquid phase. Furthermore, OM degradation was measured at 24 and 48 h after bottles were opened. For experiment 2, twice daily, 53 g of DM of the same treatments was provided to each fermentor. The treatments were arranged in a replicated 4 × 4 Latin square using 8 fermenters. Four 10-d experimental periods (7 d adaptation and 3 d sample collection) were done. Samples were collected from fermentor effluents at 3, 6, 9, and 24 h after morning feeding and composited to determine lactate and VFA concentrations and nutrient degradation. Experiment 1 data were analyzed using PROC GLIMMIX of SAS where treatment was a fixed effect and run was a random effect. Experiment 2 data were analyzed similarly, with square, fermentor within square, period, and the fermentor by treatment interaction being random effects. For experiment 1 with increasing LIN, total gas volume and methane produced per gram of OM degraded decreased linearly, whereas lactate concentration and OM degradability linearly increased. We found no effect of LIN inclusion level on any VFA proportion. For experiment 2 Butyrate and isobutyrate proportions linearly decreased, and NDF degradation quadratically increased, with increasing inclusion of LIN. We found no differences for any other VFA proportions, the total concentration of all VFA, lactate concentration, or the degradation of DM, OM, or CP. Thus, inclusion of LIN, with its higher concentration of n-3, can occur without impairing ruminal fermentation and nutrient degradation; it alters the fermentation profile to reduce total gas volume and methane produced per gram of OM degraded, favors other VFA rather than butyrate or isobutyrate, and increases fiber degradation.

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 score0.003
Threshold uncertainty score0.006

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0000.001
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 head0.011
GPT teacher head0.279
Teacher spread0.267 · 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

Citations4
Published2025
Admission routes2
Has abstractyes

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