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Record W2553194227 · doi:10.2527/jam2016-1315

1315 Effect of increasing doses of abomasally infused linseed oil on animal performance and oxidative stability of milk in Holstein dairy cows

2016· article· en· W2553194227 on OpenAlexaff
D.E. Rico, R. Gervais, Sara M. Peňa-Cotrino, C. Cohou, Yolaine Lebeuf, P.Y. Chouinard

Bibliographic record

VenueJournal of Animal Science · 2016
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicMilk Quality and Mastitis in Dairy Cows
Canadian institutionsUniversité Laval
Fundersnot available
KeywordsLinseed oilDry matterPolyunsaturated fatty acidLactoseLatin squareAnimal scienceTotal mixed rationChemistryDairy cattleFood scienceLactationFatty acidBiologyIce calvingBiochemistryRumen

Abstract

fetched live from OpenAlex

To evaluate the effect of increasing doses of post-ruminal supply of linseed oil (LO), as a source of polyunsaturated fatty acids (PUFA), on animal performance and oxidative stability of milk, five Holstein dairy cows (36 ± 2 DIM, 38.7 ± 4.7 kg milk/d; Mean ± SD) were randomly distributed in a 5 × 5 Latin square design (14-d periods; 11 d of adaptation). All cows were fed the same ration and LO was abomasally infused continuously at 0, 75, 150, 300, and 600 g/d using peristaltic pumps. Oxidation measurements were done on fresh non-homogenized milk and on homogenized milk stored at 4°C during 11 d under fluorescent light. Data were analyzed using a mixed model including the random effects of period and cow, and the fixed effects of treatment, time and their interaction in the repeated measures analyses. A peroxidability index (PI) was calculated as: 0.025×Monoenoates + 1×Dienoates + 2×Trienoates + 4×Tetraenoates + 6×Pentaenoates + 8×Hexaenoates, to account for individual oxidation sensitivity of FA. Dry matter intake and yield of energy corrected milk decreased linearly with increasing dose of LO (P < 0.05). Milk fat concentration decreased quadratically (P < 0.05) reaching a nadir at 300 g of LO/d, whereas the yields of fat and protein decreased linearly (P < 0.05). The concentration and yield of lactose were not different among treatments. The concentration of PUFA increased linearly with LO dose (P < 0.001). Accordingly, the PI of fresh milk increased linearly with dose from 2.0 mg/g milk in the control, to 10.8 mg/g milk at the highest dose (P < 0.001). Conjugated diene hydroperoxides in fresh milk increased linearly with dose (P < 0.001), whereas conjugated triene hydroperoxides and redox potential were not affected. Volatile lipid oxidation products such as propanal, hexanal, trans-2-hexenal/hex-cis-3-enal, and hept-cis-4-enal increased linearly with dose (P < 0.001), whereas 1-octen-3-one was not affected, and trans-2, cis-6-nonadienal and trans-2, trans-4-nonadienal were not detected in fresh milk. During storage, similar increasing trends were observed across treatments for propanal, hexanal, trans-2-hexenal/hex-cis-3-enal, hept-cis-4-enal, and trans-2, cis-6-nonadienal in homogenized milk (time P < 0.001). Treatment by time interactions were detected for 1-octen-3-one and trans-2, trans-4-nonadienal. In conclusion, increasing doses of abomasally infused LO negatively affected animal performance. Despite small differences among individual oxidation products, overall, a linear increase in milk PUFA led to a quadratic response in total identified volatile compounds which tended to reach a plateau at 300 g of LO/d.

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 integrity0.0000.001
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 head0.024
GPT teacher head0.258
Teacher spread0.234 · 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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