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Record W2090645920 · doi:10.2527/jas.2011-4349

Feeding a higher forage diet prepartum decreases incidences of subclinical ketosis in transition dairy cows1

2012· article· en· W2090645920 on OpenAlexaff
Lori Vickers, Daniel M. Weary, D. M. Veira, M.A.G. von Keyserlingk

Bibliographic record

VenueJournal of Animal Science · 2012
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicReproductive Physiology in Livestock
Canadian institutionsAgriculture and Agri-Food CanadaUniversity of British Columbia
Fundersnot available
KeywordsIce calvingAnimal scienceKetosisDry matterLactationNEFAForageDairy cattleTotal mixed rationSubclinical infectionBiologyHerdMedicinePregnancyInternal medicineEndocrinologyInsulinAgronomyDiabetes mellitus

Abstract

fetched live from OpenAlex

A common feeding practice during the dry period is to switch dairy cows to an energy-dense diet 3 wk prepartum, but this practice may lead to the overconsumption of energy and increase the risk of metabolic disease postpartum. The aim of this trial was to compare the metabolic status of transition Holstein dairy cows fed a 77% forage diet (77F; NEl = 1.46 Mcal/kg; NDF = 41%) vs. those fed an 87% forage diet (87F; NEl = 1.41 Mcal/kg; 48% NDF). Approximately 60 d before calving, cows were dried off, housed in a free stall barn, and fed the 87F diet. Three weeks before expected calving, cows were randomly assigned to either the 77F treatment and switched to this diet (n = 45) or assigned to the 87F treatment and stayed on the dry cow ration until parturition (n = 42). After parturition, all cows were fed a common lactation diet (NEl = 1.59 Mcal/kg; 36% NDF). Dry matter intake was measured daily from 2 wk before to 2 wk after calving. Blood was sampled daily for 10 d postpartum. Subclinical ketosis was diagnosed using a threshold of β-hydroxybutyrate (BHBA) ≥ 1.0 mmol/L after calving. The percentage of cows pregnant and odds of being pregnant for each treatment group were determined at 60, 90, and 120 d in milk through ultrasound by the herd veterinarian. Cows on the 87F diet consumed less DM prepartum than those on the 77F diet (12.7 ± 0.3 kg/d vs. 15.4 ± 0.3 kg/d, P < 0.001), but no difference in DMI was detected after calving (19.7 ± 5.5 kg/d; P = 0.87). Although the calculated prepartum required energy intake was the same for the 2 treatments (15.3 ± 1.2 Mcal/d; P = 0.16), cows on the 77F diet consumed 4.5 Mcal/d more than those on the 87F diet (22.5 ± 0.5 Mcal/d vs. 18.0 ± 0.5 Mcal/d; P < 0.001). Postpartum concentration of BHBA was less for cows fed the 87F diet prepartum (0.49 ± 0.02 mmol/L vs. 0.59 ± 0.02 mmol/L; P = 0.02), and fewer animals on this diet were diagnosed subclinical ketosis (SCK; 49% vs. 17%; P = 0.001). Milk production tended to be less for cows fed the 87F diet prepartum (47.3 ± 0.4 kg/d vs. 48.8 ± 0.4 kg/d; P = 0.10) for the first 22 wk of lactation, which was significant for d 7 to 28 of lactation (44.6 ± 1.1 kg/d vs. 47.6 ± 1.0 kg/d; P = 0.05). Although sample size was small to draw strong conclusions on reproductive performance, at 120 d in milk, cows on the 87F diet were 0.3 times more likely to be pregnant (P = 0.03). These results indicate that feeding an 87F diet before calving can reduce rates of SCK in transition dairy cows.

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)0.002
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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.897
Threshold uncertainty score0.232

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.001
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 head0.050
GPT teacher head0.306
Teacher spread0.256 · 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 designObservational
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

Citations47
Published2012
Admission routes1
Has abstractyes

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