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Record W2552772775 · doi:10.2527/jam2016-1313

1313 Effect of potassium carbonate and soybean oil supplementation on rumen microbial population linked to lipid metabolism

2016· article· en· W2552772775 on OpenAlexaff
A.R. Alfonso-Avila, J. Chiquette, P.Y. Chouinard, Édith Charbonneau, R. Gervais

Bibliographic record

VenueJournal of Animal Science · 2016
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicRuminant Nutrition and Digestive Physiology
Canadian institutionsAgriculture and Agri-Food CanadaUniversité Laval
Fundersnot available
KeywordsRumenPotassiumLipid metabolismSoybean oilMetabolismPopulationFood scienceChemistryPotassium carbonateBiologyBiochemistryMedicineOrganic chemistryFermentation

Abstract

fetched live from OpenAlex

The rumen microbial ecosystem plays a crucial role in productivity through digestion of feeds and supply of nutrients to the host animal. It was suggested that milk fat synthesis in dairy cows is stimulated by a positive dietary cation-anion difference (DCAD). Despite that rumen bacteria are largely involved in hydrolysis and biohydrogenation of dietary lipids, the impact of DCAD on rumen microbiome is unknown. The objective of this study was to evaluate the effect of increasing DCAD, using K2CO3, in diets containing soybean oil (SBO) on rumen microbial population associated with lipid metabolism. Twenty four early lactation Holstein dairy cows (39 ± 22 DIM) were used in a randomized complete block design (6 blocks) based on DIM and number of calving with a 2 × 2 factorial arrangement of treatments. Within each block, cows were fed a basal diet formulated to achieve 40% forage (58% corn silage), 60% concentrate, and 47% non-fibrous carbohydrates, with 0 (DCAD: +95 mEq/kg) or 1.5% K2CO3 (DM basis; DCAD: +316 mEq/kg), and 0 or 2% SBO. Effects of K2CO3, SBO and the interaction K2CO3 × SBO were evaluated. Treatment period lasted 28 d; the last 5 d were used for data and sample collection. Equal volumes (?1.0 L) of rumen fluid and solid digesta were collected from different rumen sites 4-h postfeeding. Extracted DNA was amplified by quantitative real-time PCR. The absolute amount for each microbial group was expressed as logarithm (base 10) of DNA copies/g of fresh matter. A companion abstract showed an interaction between K2CO3 and SBO on milk fat yield and t10/t11 ratio (JDS 98-Suppl. 2:128). Supplementing diets with K2CO3 stimulated the growth of Butyrivibrio hungatei (5.79 vs. 5.62; P = 0.03), a bacteria recognized to produce t11 18:1 during biohydrogenation. Conversely, feeding SBO reduced the growth of i) Butyrivibrio/Pseudobutyrivibrio group (8.60 vs. 8.80; P = 0.04), also known to produce t11 18:1, ii) fibrolytic Fibrobacter succinogenes (9.34 vs. 9.63; P = 0.04), iii) Butyrivibrio proteoclasticus, a bacteria involved in 18:0 production (6.67 vs. 6.79; P = 0.06), and iv) amylolytic Streptococcus bovis (6.84 vs. 7.01; P = 0.06). Feeding K2CO3 had no effect on these four bacteria. Total eubacteria and total protozoa did not differ between treatments (P > 0.13). Feeding K2CO3 and SBO had distinct effects on rumen bacteria. However, the absence of interaction between treatments on microbial population does not allow to establish a clear link with previously observed effects on milk fat yield and t10/t11 ratio.

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 score0.005

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.013
GPT teacher head0.256
Teacher spread0.243 · 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
Published2016
Admission routes1
Has abstractyes

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