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Record W7006314110

Technology adoption, management practices and vaccine use in Canadian cow-calf herds

2023· dissertation· en· W7006314110 on OpenAlexfundaboutno aff

Bibliographic record

VenueUniversity Library (University of Saskatchewan) · 2023
Typedissertation
Languageen
FieldMedicine
TopicEsophageal and GI Pathology
Canadian institutionsnot available
FundersBeef Cattle Research Council
KeywordsHerdSustainabilityProduction (economics)Disease controlEmerging technologiesBiosecurityAnimal productionAnimal health
DOInot available

Abstract

fetched live from OpenAlex

An understanding of current technology adoption and management practices including vaccination protocols used by Canadian cow-calf herds is important to understand current practices, identify areas for improvement, and direct extension programs. Adoption of technologies and practices that increase reproductive performance and increase production efficiency is important for the long-term economic sustainability of the beef industry. Vaccines are one of the most important tools available to cow-calf producers to control disease within and across herds, and to reduce economic losses caused by disease burden across all beef production sectors. To date, regional surveys have attempted to collect this information, but the lack of uniform data prevents the comparison of herds in different regions of the country. The aim of this thesis is to address this gap in technology adoption and record keeping data, and determine, the vaccine protocols employed in cow-calf herds across the country. In Chapter 2, a mail survey was used to gather data regarding the different technologies and record keeping practices utilized by Canadian cow-calf producers. Survey data was returned from 131 herds across 8 provinces (91 western and 40 eastern herds). The most widely adopted practices were the maintenance of individual female production records, feed testing, and the use of an on-farm animal weigh scale. Differences between eastern and western Canadian herds were identified. Western producers were more likely to use nutritional technologies including the use of a nutritionist, feed testing and growth promoting implants in calves, while eastern producers were more likely to use artificial insemination. Large herd size (>300 cows) was associated with adoption of data collection technologies and recommended practices including use of weigh scales, RFID tag scanners, utilizing a defined breeding season, and feed testing. Similar to past reports, paper systems were the main record keeping medium. Producers who maintained production records utilized them for culling decisions and replacement heifer selection. While adoption of many types of technology has increased across Canada, there is still room for uptake up technologies that allow for more efficient animal management in all provinces. Chapter 3 utilized the same producer survey as Chapter 2. Vaccination protocols used in Canadian cow-calf herds were investigated as a critical herd and animal disease management tool. Viral bovine respiratory disease pathogens: Infectious bovine rhinotracheitis (IBR), Bovine respiratory syncytial virus (BRSV), Parainfluenza virus type 3 (PI3), and Bovine viral diarrhea virus Types 1 and 2 (BVDV) were the most common vaccines administered to all cattle, followed by clostridial vaccines. Use of clostridial vaccines was more likely in western herds than eastern herds. For the purpose of this study, suckling calves are defined as all calves prior to weaning. Vaccination of suckling calves against IBR/BRSV/PI3 (92%) and BVDV (78%) was common, however only 47% and 39% of calves were administered a booster for these targets respectively, prior to weaning. Calves administered a viral respiratory vaccine prior to 3 months of age were more commonly administered a second vaccine of that target prior to weaning compared to those first vaccinated after 3 months of age. Use of intranasal vaccines in neonatal calves has increased since previous reports and vaccine use across Canada generally follow veterinarian core vaccine recommendations. While vaccine use has increased across Canada, most notably in calves prior to weaning, areas for improvement remain. Vaccine protocols including number of doses and timing of delivery vary widely within and across provinces, regardless of product used and label instructions.

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)0.004
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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.033
Threshold uncertainty score0.129

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.003
Science and technology studies0.0020.001
Scholarly communication0.0010.000
Open science0.0010.000
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 head0.010
GPT teacher head0.206
Teacher spread0.195 · 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 routes2
Has abstractyes

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