Resilience Indicator Traits in three Dairy Cattle breeds in Baden-Württemberg.

autocorrelation dairy cows resilience variance

Journal

Journal of dairy science
ISSN: 1525-3198
Titre abrégé: J Dairy Sci
Pays: United States
ID NLM: 2985126R

Informations de publication

Date de publication:
02 Feb 2024
Historique:
received: 13 10 2023
accepted: 22 12 2023
medline: 5 2 2024
pubmed: 5 2 2024
entrez: 4 2 2024
Statut: aheadofprint

Résumé

In recent years, research in animal breeding has increasingly focused on the topic of resilience, which is expected to continue in the future due to the need for high-yielding, healthy, and robust animals. In this context, an established approach is the calculation of resilience indicator traits with time series analyses. Examples are the variance and autocorrelation of daily milk yield in dairy cows. We applied this methodology to the German dairy cow population. Data from the 3 breeds German Holstein, German Fleckvieh and German Brown Swiss were obtained, which included 13949 lactations from 36 farms from the state Baden-Württemberg in Germany working with automatic milking systems. Using the milk yield data, the daily absolute milk yields, deviations between observed and expected daily milk yields, and relative proportions of daily milk yields in relation to lactation performance were calculated. We used the variance and autocorrelation of these data as phenotypes in our statistical analyses. We estimated a heritability of 0.047 for autocorrelation and heritabilities between 0.026 and 0.183 for variance-based indicator traits. Furthermore, significant breed differences could be observed, with a tendency of better resilience in Brown Swiss. The breed differences can be due to both, genetic and environmental factors. A high value of a variance-based indicator trait indicates a low resilience. Performance traits were positively correlated with variance-based indicator traits calculated from absolute daily milk yields, but they were negatively correlated with variance-based indicators calculated from relative daily milk yields. Thus, they can be considered as different traits. While variance-based indicators based on absolute daily milk yields were affected by the performance level, variance-based indicators based on relative daily milk yields were corrected for the performance level and also showed higher heritabilities. Thus, they seem to be more suitable for practical use. Further studies need to be conducted to calculate the correlations between resilience indicator traits, functional traits and health traits.

Identifiants

pubmed: 38310955
pii: S0022-0302(24)00064-X
doi: 10.3168/jds.2023-24305
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Informations de copyright

The Authors. Published by Elsevier Inc. and Fass Inc. on behalf of the American Dairy Science Association®. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).

Auteurs

F Keßler (F)

Institute of Animal Science, University of Hohenheim, 70599 Stuttgart. Electronic address: franziska.kessler@uni-hohenheim.de.

R Wellmann (R)

Institute of Animal Science, University of Hohenheim, 70599 Stuttgart.

M G G Chagunda (MGG)

Institute of Agricultural Sciences in the Tropics, University of Hohenheim, 70599 Stuttgart.

J Bennewitz (J)

Institute of Animal Science, University of Hohenheim, 70599 Stuttgart.

Classifications MeSH