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Differences in Blood and Milk Fatty Acid Profile of Primiparous and Multiparous Mediterranean Buffaloes Cows During Transition Period and Early Lactation

2015· article· en· W2160499936 on OpenAlexvenueno aff
Lenita Camargo Verdurico, Jefferson Rodrigues Gandra, Caio S. Takiya, J.E. Freitas, Rafael Villela Barletta, R. Gardinal, Gustavo Delfino Calomeni, Pablo Gomes de Paiva, Francisco Palma Rennó

Bibliographic record

VenueJournal of Buffalo Science · 2015
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicReproductive Physiology in Livestock
Canadian institutionsnot available
Fundersnot available
KeywordsLactationIce calvingAnimal scienceFatty acidPalmitic acidPalmitoleic acidPostpartum periodBiologyFood scienceChemistryPregnancyBiochemistry

Abstract

fetched live from OpenAlex

The objective of this study was to determine the differences in blood and fatty acid (FA) profile between primiparous and multiparous Mediterranean buffaloes cows from 28 days of expected calving date until 56 days in milk. Nine multiparous (MUL) and 7 primiparous (PRI) cows were used in the present study, animals grazed in Brachiaria decumbens and supplemented with 2.0 kg of concentrate/day. Blood and milk samples were collected once a week and data were submitted to repeated measures analysis using PROC MIXED of SAS. Multiparous cows presented higher concentrations of glucose and non-esterified FA during pre- and post-partum period, higher cholesterol during post-partum when compared to PRI. Milk yield and fat content were higher for MUL (6.44 kg/d and 7.89%) when compared to PRI (5.66 kg/d and 6.75%). Palmitic and palmitoleic FA were lower and C18:0, C18:1 trans-11 and C18:1 cis-9 FAwere higher in MUL cows. Multiparous buffalo cows demonstrated higher milk yield and fat content than PRI, and milk FA profile of MUL had higher amounts of C18:0 FA. Multiparous buffalos presented higher non-esterified fatty acid, which altered milk fat content, and higher milk yield than primiparous cows. Furthermore, multiparous cows presented a higher content of FA from incomplete biohydrogenation process.

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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.823
Threshold uncertainty score0.300

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 studies0.0000.001
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 head0.031
GPT teacher head0.237
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 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

Citations3
Published2015
Admission routes1
Has abstractyes

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