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Record W2604750787 · doi:10.18805/ijar.v0iof.7604

Quarter-wise prevalence of subclinical mastitis in crossbred cows

2017· article· en· W2604750787 on OpenAlexaboutno aff
Rachna Ullah, Manju Ashutosh, Sujata Pandita, Ashutosh Ashutosh, Panjab Singh Yadav, Thulasiraman Parkunan

Bibliographic record

VenueIndian Journal of Animal Research · 2017
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicMilk Quality and Mastitis in Dairy Cows
Canadian institutionsnot available
Fundersnot available
KeywordsMastitisQuarter (Canadian coin)CrossbreedCalifornia mastitis testVeterinary medicineSubclinical infectionMedicineAnimal scienceBiologyInternal medicineLactationPregnancyPathologyGeography

Abstract

fetched live from OpenAlex

The present study was designed to determine the quarter-wise and animal-wise prevalence of sub-clinical mastitis in crossbred Karan Fries (Holstein x Tharparker) lactating cows. For this purpose, the udders of 73 cows were screened by modified California Mastitis Test (mCMT) and EC measurements. The efficiency of detection of mastitis and non-mastitis by EC measurements was 86% and 93% respectively. Animal-wise prevalence was found 41%, while quarter-wise prevalence was 31.16%. Among mastitic quarters, prevalence of single quarter infection, two quarter infection, three quarter infection and all four quarter infection per animal, was 0.00, 26.66, 43.33 and 30.00%, respectively. Out of all quarters, maximum prevalence was found in right hind quarters (29.67%) followed by left hind (26.37%), left fore (23.07%) and right fore (20.87%).The same pattern was observed during EC measurements. Though EC showed similarity with CMT in the detection of subclinical mastitis, the research needs to be carried out on more number of animals.

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)0.004
metaresearch head score (Gemma)0.004
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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.285
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.176
GPT teacher head0.421
Teacher spread0.245 · 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

Citations3
Published2017
Admission routes1
Has abstractyes

Explore more

Same venueIndian Journal of Animal ResearchSame topicMilk Quality and Mastitis in Dairy CowsFrench-language works237,207