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Adaptability of Dairy Cows to Individual Quarter Milking System after Changing from Tying to Loose Housing System

2015· article· en· W2030245391 on OpenAlexaboutno aff
Shehadeh Kaskous

Bibliographic record

VenueAdvances in Animal and Veterinary Sciences · 2015
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicMilk Quality and Mastitis in Dairy Cows
Canadian institutionsnot available
Fundersnot available
KeywordsAdaptabilityMilkingTyingQuarter (Canadian coin)IdleOperations managementAnimal scienceComputer scienceEngineeringEconomicsGeographyBiologyArchaeologyManagement

Abstract

fetched live from OpenAlex

The study was conducted during the period June-September 2013, to study the pattern of adaptability of dairy cows to milking using the individual quarter milking system (MultiLactor) when changing from tying to loose housing system. Daily milk yield and milk quality over a period of two months were tested. A total of 30 Brown-Swiss dairy cows at Trkheim dairy farm-Germany were used in the study. Cows were at different parities and stages of lactation. Collected data were processed using SAS program (SAS, 1999). The study found that the average milk yield rate in the first milking was 77.382.40% after changing from conventional to MultiLactor milking system and the individual milk yield rate varied from 47 to 106% of the expected milk yield before the changeover. Milk yield in the first three days after changing was decreased and then increased to the normal values of the expected milk yield before the changeover. Fat and protein contents were not significantly varied during the experimental period after the changeover. Lactose content of the milk showed a significant continuous increase during the study period. Somatic cell count (SCC) in milk decreased during the experimental period and reached the lowest values (114x10 3 /ml) at day 58. Three weeks after the change, urea showed the lowest concentration (10-15 mg/100ml). The result concluded that quarter single tube is more convenient after changing the conventional milking system.

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 score0.443
Threshold uncertainty score0.354

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
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 head0.069
GPT teacher head0.289
Teacher spread0.220 · 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

Citations4
Published2015
Admission routes1
Has abstractyes

Explore more

Same venueAdvances in Animal and Veterinary SciencesSame topicMilk Quality and Mastitis in Dairy CowsFrench-language works237,207