Big dairy data to unravel effects of environmental, physiological and morphological factors on milk production of mountain-pastured Braunvieh cows.

Braunvieh dairy cattle climate change environmental variables high alpine grazing lactation curve modelling transhumance

Journal

Royal Society open science
ISSN: 2054-5703
Titre abrégé: R Soc Open Sci
Pays: England
ID NLM: 101647528

Informations de publication

Date de publication:
Jul 2020
Historique:
received: 17 04 2020
accepted: 13 06 2020
entrez: 3 9 2020
pubmed: 3 9 2020
medline: 3 9 2020
Statut: epublish

Résumé

The transhumance system, which consists in moving animals to high mountain pastures during summer, plays a considerable role in preserving both local biodiversity and traditions, as well as protecting against natural hazard. In cows, particularly, milk production is observed to decline as a response to food shortage and climatic stress, leading to atypical lactation curves that are barely described by current lactation models. Here, we relied on 5 million monthly milk records from over 200 000 Braunvieh and Original Braunvieh cows to devise a new model accounting for transhumance, and test the influence of environmental, physiological and morphological factors on cattle productivity. Counter to expectations, environmental conditions in the mountain showed a globally limited impact on milk production during transhumance, with cows in favourable conditions producing only 10% more compared with cows living in detrimental conditions, and with precipitation in spring and altitude revealing to be the most production-affecting variables. Conversely, physiological factors such as lactation number and pregnancy stage presented an important impact over the whole lactation cycle with 20% difference in milk production, and alter the way animals respond to transhumance. Finally, the considered morphological factors (cow height and foot angle) presented a smaller impact during the whole lactation cycle (10% difference in milk production). The present findings help to anticipate the effect of climate change and to identify problematic environmental conditions by comparing their impact with the effect of factors that are known to influence lactation.

Identifiants

pubmed: 32874658
doi: 10.1098/rsos.200638
pii: rsos200638
pmc: PMC7428251
doi:

Banques de données

figshare
['10.6084/m9.figshare.c.5040554']
Dryad
['10.5061/dryad.z612jm68g']

Types de publication

Journal Article

Langues

eng

Pagination

200638

Informations de copyright

© 2020 The Authors.

Déclaration de conflit d'intérêts

We have no competing interests.

Références

J Dairy Sci. 2004 May;87(5):1457-68
pubmed: 15290995
J Anim Sci. 1999;77 Suppl 2:10-20
pubmed: 15526777
J Dairy Sci. 2000 Jun;83(6):1381-6
pubmed: 10877405
J Dairy Sci. 2003 Nov;86(11):3736-44
pubmed: 14672205
J Anim Sci. 1999 Jan;77(1):61-9
pubmed: 10064028
Rev Sci Tech. 2016 Nov;35(2):561-575
pubmed: 27917971
J Dairy Sci. 1968 Mar;51(3):428-37
pubmed: 5688991
J Dairy Sci. 2008 Jan;91(1):371-6
pubmed: 18096961
Anim Genet. 2012 Aug;43(4):375-82
pubmed: 22497459
Mol Ecol. 2008 Jan;17(1):275-84
pubmed: 17927711
J Dairy Sci. 2005 Mar;88(3):1178-91
pubmed: 15738251
J Dairy Sci. 2004 Nov;87(11):3789-99
pubmed: 15483163
PLoS One. 2009 Aug 18;4(8):e6676
pubmed: 19688089

Auteurs

Solange Duruz (S)

Laboratory of Geographic Information Systems (LASIG), School of Architecture, Civil and Environmental Engineering (ENAC), Ecole Polytechnique Fédérale de Lausanne (EPFL), Lausanne, Switzerland.

Elia Vajana (E)

Laboratory of Geographic Information Systems (LASIG), School of Architecture, Civil and Environmental Engineering (ENAC), Ecole Polytechnique Fédérale de Lausanne (EPFL), Lausanne, Switzerland.

Alexander Burren (A)

School of Agricultural, Forest and Food Sciences, Bern University of Applied Sciences, Zollikofen, Switzerland.

Christine Flury (C)

School of Agricultural, Forest and Food Sciences, Bern University of Applied Sciences, Zollikofen, Switzerland.

Stéphane Joost (S)

Laboratory of Geographic Information Systems (LASIG), School of Architecture, Civil and Environmental Engineering (ENAC), Ecole Polytechnique Fédérale de Lausanne (EPFL), Lausanne, Switzerland.

Classifications MeSH