MétaCan
Menu
Back to cohort
Record W4285202662 · doi:10.1590/0103-8478cr20210505

Farm microbiological milk culture: study case on cow performance, financial and economic aspects

2022· article· en· W4285202662 on OpenAlexaboutno aff
Nathan Felippe Fontoura Reis, Fernanda C. Ferreira, Hilton do Carmo Diniz Neto, Hemilly Cristina Menezes de Sá, S.G. Coelho

Bibliographic record

VenueCiência Rural · 2022
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicMilk Quality and Mastitis in Dairy Cows
Canadian institutionsnot available
Fundersnot available
KeywordsMastitisMicrobiological cultureIsolation (microbiology)Quarter (Canadian coin)Animal scienceVeterinary medicineMilk productionBacteriaBiologyMedicineGeographyMicrobiology

Abstract

fetched live from OpenAlex

ABSTRACT: This study evaluated the use of microbiological culture of milk from cows with clinical mastitis (CM), and the performance and economic results after implementing this procedure. The 18-month data were obtained from a farm in Minas Gerais State, Brazil, with an average daily production of 23.1 L of milk from cows milked twice daily under a semi-intensive regime. After a case of CM was identified, a milk sample from the affected quarter was collected and sent to the farm’s laboratory. First, a bi-plate containing selective growth medium was used for isolation of Gram-positive and negative bacteria (Plate 1). Subsequently, a tri-plate with selective growth medium was used for isolation of Gram-positive and negative bacteria, and bacteria of the genus Streptococcus (Plate 2). Finally, a tri-plate containing three chromogenic culture media capable of identifying 18 bacterial species was used (Plate 3). Clinical cases of mastitis were treated once a day based on the results of the microbiological culture. Two economic scenarios were evaluated (scenarios 1 and 2). Scenario 1 compared the situation if all cases of CM were treated (not using on-farm culture) vs. the use of on-farm culture (real data) and the generated savings for one year. Data from 1,582 lactations of 1,227 cows were evaluated, with 1,917 cases of CM from 636 cows recorded. The average annual incidence of CM was 48.2%. Of all cases evaluated, 76.8% were classified as grade 1 mastitis; 20% as grade 2, and 3.2% as grade 3. The incidence of new clinical cases of mastitis was 4.17% per month. From the samples analyzed on the three plates, 27.8% of the cases received a recommendation to not be treated and 72.2% received a recommendation of treatment. However, only 18.6% were not treated, making a total of 81.4% treated cases. Of the clinical cases that did not receive intramammary antibiotic therapy, 84.3% had a clinical cure. Conversely, the clinical cure rate reached 84% for the cases that received intramammary antibiotic therapy. In scenario 1, the total operational cost of the clinical case decreased by 10.3% after the implementation of the on-farm culture, with an 18.4% reduction in the use of antibiotics. In scenario 2, there was a 5.5% reduction in the cost of the clinical case and an 11.8% reduction in the use of antibiotics. Thus, the implementation of on-farm culture and the applied methodology, enhanced treatment accuracy of CM cases, reducing the total operating cost of the case and the use of antibiotics on the farm.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.483
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.017
GPT teacher head0.220
Teacher spread0.203 · 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.

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

Citations1
Published2022
Admission routes1
Has abstractyes

Explore more

Same venueCiência RuralSame topicMilk Quality and Mastitis in Dairy CowsFrench-language works237,207