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Record W4285097457 · doi:10.3168/jds.2021-21677

Combined biotin, folic acid, and vitamin B12 supplementation given during the transition period to dairy cows: Part I. Effects on lactation performance, energy and protein metabolism, and hormones

2022· article· en· W4285097457 on OpenAlexafffund
M. Duplessis, H. Lapierre, H. Sauerwein, C.L. Girard

Bibliographic record

VenueJournal of Dairy Science · 2022
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicReproductive Physiology in Livestock
Canadian institutionsUniversité de Sherbrooke
FundersAgriculture and Agri-Food CanadaRheinische Friedrich-Wilhelms-Universität BonnUniversité de SherbrookeUniversité Laval
KeywordsLactationVitamin B12Ice calvingDry matterChemistryAnimal scienceMetabolismHormoneVitaminEndocrinologyInternal medicineDairy cattleBiologyFood scienceBiochemistryPregnancyMedicine

Abstract

fetched live from OpenAlex

Biotin (B 8 ), folates (B 9 ), and vitamin B 12 (B 12 ) are involved and interrelated in several metabolic reactions related to energy and protein metabolism. We hypothesized that a low supply of one of the latter vitamins during the transition period would impair metabolic status. The purpose of this study was to evaluate the effect of B 8 supplementation on the response of lactation performance and selected energy and protein metabolites and hormones to a combined supplementation of B 9 and B 12 given to periparturient dairy cows, from d -21 to 21 relative to calving. A total of 32 multiparous Holstein cows housed in tie stalls were randomly assigned, according to their previous 305-d milk yield, to 8 incomplete blocks of 4 treatments: (1) a 2-mL weekly i.m. injection of saline (0.9% NaCl; B 8 -/B 9 B 12 -); (2) 20 mg/d of dietary B 8 (unprotected from ruminal degradation) and 2-mL weekly i.m. injection of 0.9% NaCl (B 8 +/B 9 B 12 -); (3) 2.6 g/d of dietary B 9 (unprotected) and 2-mL weekly i.m. injection of 10 mg of B 12 (B 8 -/ B 9 B 12 +); and (4) 20 mg/d of dietary B 8 , 2.6 g/d of dietary B 9 , and weekly i.m. injection of 10 mg of B 12 (B 8 +/B 9 B 12 +) in a 2 2 factorial arrangement. Milk yield and dry matter intake were obtained daily and milk components weekly. Blood samples were taken weekly from d -21 to calving and 3 times per week from calving to 21 d following parturition. Prepartum plasma concentrations of glucose, insulin, nonesterified fatty acids (NEFA), -hydroxybutyrate (BHB), and adiponectin were unaffected by treatments. Biotin, B 9 , and B 12 supplements increased their respective concentrations in plasma and milk. Cows fed the B 8 supplement tended to have lower dry matter intake, but only cows in B 8 +/B 9 B 12 -had greater plasma concentrations of NEFA compared with B 8 -/B 9 B 12 -. Milk and total solid yields were greater by 13.5 and 13.9%, respectively, for B 8 -/B 9 B 12 + [45.5 (standard error, SE: 1.8) and 5.81 (0.22) kg/d, respectively] compared with B 8 -/ B 9 B 12 -[40.1 (1.9) and 5.10 (0.23) kg/d, respectively], but these effects were suppressed when combined with the B 8 supplement. Cows in the B 8 -/B 9 B 12 + group had decreased plasma insulin and tended to have increased NEFA concentrations, but postpartum plasma concentrations of glucose, BHB, leptin, and adiponectin were not affected. These cows also mobilized more body fat reserves, as suggested by a tendency to increased plasma NEFA and more milk total solids compared with B 8 -/ B 9 B 12 -cows. However, plasma concentrations of BHB and adiponectin were similar among treatments. This suggests that the B 9 and B 12 supplements enhanced efficiency of energy metabolism in early lactation cows. Folic acid and B 12 supplementation increased postpartum plasma Cys and homocysteine concentrations but did not affect plasma Met concentration, suggesting an upregulation of the transsulfuration pathway. In summary, our results showed that, under the current experimental conditions, increasing B 8 supply did not improve responses to the B 9 and B 12 supplementation.

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 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)0.000
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.907
Threshold uncertainty score0.669

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.001
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 head0.009
GPT teacher head0.215
Teacher spread0.206 · 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

Citations20
Published2022
Admission routes2
Has abstractyes

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