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Record W7019189305

FACTORS AFFECTING THE VITAMIN A AND ß-CAROTENE CONTENTS OF MILK

2023· dissertation· en· W7019189305 on OpenAlexaboutno aff

Bibliographic record

VenueUniversity Library (University of Saskatchewan) · 2023
Typedissertation
Languageen
FieldMedicine
TopicAntioxidant Activity and Oxidative Stress
Canadian institutionsnot available
Fundersnot available
KeywordsVitaminHayLactationRetinolSilagePotencyVitamin E
DOInot available

Abstract

fetched live from OpenAlex

The factors affecting the vitamin A and s-carotene contents of milk were investigated. A series of short- and long-term experiments were conducted using the University of Saskatchewan dairy herd and Saskatoon commercial fluid milk, respectively. The vitamin A potency of the milk was significantly influenced by cow-to-cow variations when the experimental cows were receiving high levels (87,600 IU/kg feed) of vitamin A supplementation. The day-to-day variations significantly affected the vitamin A content of milk when early lactation cows received low levels (8,200 IU/kg feed) of vitamin A supplementation. The milk of cows in late lactation contained more vitamin A per 100 ml but the milk of cows in early lactation contained more vitamin A per gm butter fat. Pronounced seasonal variations were observed in Saskatoon market milks. The spring milk contained 28.87%, 20.09%, and 8.33% more vitamin A potency than that of winter, fall and summer milk, respectively. Overall, spring and summer milk had significantly more vitamin A (1.17 times) than that of winter and fall milk. Supplementation of feeds with about 10 times the RDA of vitamin A increased the vitamin A content of the milk by 24% but did not affect either the milk yield or the B.F.% of the milk. Dietary hay suppressed, but dietary silage promoted, the recovery of dietary vitamin A in milk of cows fed the above forages, each supplemented with 250,000 and 600,000 IU vitamin A/cow/day. High levels of vitamin A intake depressed the milk and blood levels of s-carotene. Dietary levels of the vitamin A did not affect the concentration of the vitamin in the blood of the experimental animals. Pasteurization of milk had no deleterious effects on the vitamin A potency of milk. Skimming significantly reduced the vitamin A content of whole milk by 85.0% and 26.5% for skim and 2% B.F. milk, respectively. Fortification, at the processing plant, increased the vitamin A content of the low fat milk to above average levels. Maximal photodegradation of vitamin A occurred between 340 to 440 nm. s-carotene significantly protected vitamin A from photodegradation. Storage stability of vitamin A in processed milks (skim, 2% B.F. and homogenized milk) was found to be much less than that of whole, raw milk. The results from the study indicated that the vitamin A potency of milk can be optimized by fortification of winter feeds, particularly silage, with vitamin A. Once the milk has been produced, the vitamin A levels can be optimized by proper fortification of low fat milk and by proper packaging and storage of processed milk.

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)0.001
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.011
Threshold uncertainty score0.023

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0010.000
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 head0.018
GPT teacher head0.205
Teacher spread0.187 · 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 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

Citations0
Published2023
Admission routes1
Has abstractyes

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