Key Performance Indicators Used by Dairy Consultants During the Evaluation of Reproductive Performance in a First Visit.

dairy cattle consultant first visit key parameter reproductive performance survey

Journal

Frontiers in veterinary science
ISSN: 2297-1769
Titre abrégé: Front Vet Sci
Pays: Switzerland
ID NLM: 101666658

Informations de publication

Date de publication:
2022
Historique:
received: 07 02 2022
accepted: 20 05 2022
entrez: 11 7 2022
pubmed: 12 7 2022
medline: 12 7 2022
Statut: epublish

Résumé

Reproduction plays a fundamental role in the profitability of dairy farms. Consultants use key performance indicators (KPI) to monitor the reproductive performance of the farms. They must decipher between the most suitable ones to face two different scenarios that may need the analysis of different parameters: (1) approach in a first visit, and (2) routine visits. Forty-nine consultants specialized in dairy reproduction from 21 countries responded to an online survey conducted to determine the most suitable parameters in a first visit approach. The survey was comprised of 190 questions, 178 of them rated from 0 (irrelevant) to 10 (maximum importance) points. The questions were divided into 5 sections: (1) consultant and farm model, (2) general data of the farm, (3) cow reproduction, (4) postpartum and metabolic disease, and (5) heifer reproduction. The median, interquartile range, minimum and maximum values, and 95% confidence interval (CI) were determined for each question. Afterward, a multivariate analysis, using between-group linkage

Identifiants

pubmed: 35812881
doi: 10.3389/fvets.2022.871079
pmc: PMC9260265
doi:

Types de publication

Journal Article

Langues

eng

Pagination

871079

Informations de copyright

Copyright © 2022 Armengol, Fraile and Bach.

Déclaration de conflit d'intérêts

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

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Auteurs

Ramon Armengol (R)

Department of Animal Science, ETSEA, University of Lleida, Lleida, Spain.

Lorenzo Fraile (L)

Department of Animal Science, ETSEA, University of Lleida, Lleida, Spain.
Agrotecnio, University of Lleida, Lleida, Spain.

Alex Bach (A)

Marlex Recera i Educació, Barcelona, Spain.
Institució de Recerca i Estudis Avançats (ICREA), Barcelona, Spain.

Classifications MeSH