Web of Science: 9 citations, Scopus: 13 citations, Google Scholar: citations,
A virtual dairy herd as a tool to teach dairy production and management
Calsamiglia, Sergio (Universitat Autònoma de Barcelona. Departament de Ciència Animal i dels Aliments)
Espinosa, G. (Universitat Autònoma de Barcelona. Departament de Ciència Animal i dels Aliments)
Vera Rodríguez, Gonzalo (Centre de Recerca en Agrigenòmica)
Ferret, Alfred (Universitat Autònoma de Barcelona. Departament de Ciència Animal i dels Aliments)
Castillejos, Lorena (Universitat Autònoma de Barcelona. Departament de Ciència Animal i dels Aliments)

Date: 2020
Abstract: The objective of this project was to develop and test a web-based virtual dairy herd to help students understand the structure and functioning of a dairy herd, and to promote active learning. At the beginning of the course, the instructor defines the profiles of herds to be assigned to students (e. g. , herd size, production, diets, fertility). Each student has a unique herd and engages in decision-making for desired management practices in the herd. Modeled events are based on cow physiology and normal dairy herd management practices. Students' activities and decisions include heat detection, insemination, pregnancy diagnosis, dry-off, diet specifications, feeding groups, colostrum and milk-replacer feeding, weaning, treatment of diseases, and milk withdrawal from the tank if antibiotics are used, among others. The daily output provides information on technical indexes, economic performance, counters of incorrect decisions as feedback for students, and score. Time in class can be devoted to discussions of dairy management issues. Additional exercises based on students' own herds (e. g. , calculating required space for cows, land for forage production, manure management) can also be implemented. Students' performance in the virtual dairy farm was monitored over 3 years. The average score (n = 326) was 87. 8 ± 1. 1 over 100 points, suggesting that self-learning with the virtual dairy farm was highly successful. At the end of each semester, students (n = 277) responded to a survey on the experience of working with the virtual dairy herd. Most students (>87%) agreed that the virtual dairy herd was more effective and motivating than traditional lectures and helped them understand dairy production better. In an unannounced test conducted at least 2 wk before the final exam, students (n = 207) were asked 14 questions on dairy cattle and 14 similar questions on other species taught in the same class through traditional lectures. A similar test on the same students (n = 142) was conducted in their fifth semester (2 years later). Results were better in dairy compared with other species questions in the first (9. 6 vs. 3. 7) and fifth (8. 0 vs. 3. 8) semesters. The virtual dairy herd is an effective tool for teaching introductory courses in dairy production. The program can be accessed at www. virtualdairyfarm. org, and a manual and videos with instructions for instructors and students are available online.
Grants: Agència de Gestió d'Ajuts Universitaris i de Recerca 2010/MQD-00170
Rights: Aquest document està subjecte a una llicència d'ús Creative Commons. Es permet la reproducció total o parcial, la distribució, i la comunicació pública de l'obra, sempre que no sigui amb finalitats comercials, i sempre que es reconegui l'autoria de l'obra original. No es permet la creació d'obres derivades. Creative Commons
Language: Anglès
Document: Article ; recerca ; Versió publicada
Subject: Virtual dairy herd ; Dairy herd management ; E-learning ; Teaching tool
Published in: Journal of dairy science, Vol. 103, Issue 3 (March 2020) , p. 2896-2905, ISSN 1525-3198

DOI: 10.3168/jds.2019-16714
PMID: 31928754


10 p, 3.3 MB

The record appears in these collections:
Research literature > UAB research groups literature > Research Centres and Groups (research output) > Experimental sciences > CRAG (Centre for Research in Agricultural Genomics)
Articles > Research articles
Articles > Published articles

 Record created 2021-02-23, last modified 2023-01-15



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