Détail du document
Identifiant

doi:10.1186/s13028-024-00733-1...

Auteur
Agerholm, Jørgen Steen Christoffersen, Mette Secher, Jan Boysen-Møller Normann, Annika Pedersen, Hanne Gervi
Langue
en
Editeur

BioMed Central

Catégorie

Medicine & Public Health

Année

2024

Date de référencement

20/03/2024

Mots clés
calving foaling obstetrics sand emasculator castration clamp ... teaching veterinary curriculum veterinary horses dystocia cattle illustrations sand
Métrique

Résumé

Professor Gerhard Sand (1861–1921) was the first professor of veterinary obstetrics at the Royal Veterinary and Agricultural University, Copenhagen, Denmark.

He began teaching the theory and practice of obstetrics to veterinary students in 1887 and spent the following years until his death in 1921 developing the veterinary obstetrics teaching program.

During this period, veterinary obstetrics was established as an independent discipline at the Royal Veterinary and Agricultural University.

Professor Sand’s teaching had a major impact on the field of veterinary obstetrics in Scandinavia.

He was devoted to teaching veterinary obstetrics and produced a number of obstetrical illustrations, some of which showed different causes of dystocia, mainly fetal malpresentation in cattle and horses.

Professor Sand created the illustrations with the intention of publishing a handbook of obstetrics, but due to illness and an early death, this work was never completed.

This compilation of historical artworks of dystocia in cattle and horses includes some of these illustrations and is published to honour Professor Sand, with the intention of making his illustrations widely available for the teaching of veterinary obstetrics.

Agerholm, Jørgen Steen,Christoffersen, Mette,Secher, Jan Boysen-Møller,Normann, Annika,Pedersen, Hanne Gervi, 2024, Dystocia in cattle and horses: a compilation of historical artworks dedicated to Professor Gerhard Sand (1861–1921), BioMed Central

Document

Ouvrir

Partager

Source

Articles recommandés par ES/IODE IA

Hespi: A pipeline for automatically detecting information from hebarium specimen sheets
science recognition institutional detects text-based text pipeline specimen