Toward a resilience selection index with indicator traits in German Holstein dairy cattle

ABSTRACT: Resilience expresses the ability of an individual to cope with short-term disturbances and to recover quickly by returning to the original level of performance. It can be measured by variance-based parameters and by the autocorrelation of daily milk yields in dairy cows. The design of resi...

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Main Authors: F. Keßler, R. Wellmann, M.G.G. Chagunda, J. Bennewitz
Format: Article
Language:English
Published: Elsevier 2025-01-01
Series:Journal of Dairy Science
Subjects:
Online Access:http://www.sciencedirect.com/science/article/pii/S002203022401258X
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author F. Keßler
R. Wellmann
M.G.G. Chagunda
J. Bennewitz
author_facet F. Keßler
R. Wellmann
M.G.G. Chagunda
J. Bennewitz
author_sort F. Keßler
collection DOAJ
description ABSTRACT: Resilience expresses the ability of an individual to cope with short-term disturbances and to recover quickly by returning to the original level of performance. It can be measured by variance-based parameters and by the autocorrelation of daily milk yields in dairy cows. The design of resilience indicator traits and their heritabilities and genetic correlations have been studied in detail in recent years. There is a need to combine different resilience indicators in an index. The relevance of resilience indicator traits for incorporation into selection indices arises from their correlations with health traits and longevity. The correlations of diverse resilience indicator traits with health traits and longevity were analyzed. The resilience indicator traits were identified that would lead to the highest correlated selection response in the German selection index for health, and appropriate weights of the resilience indicator traits in a selection index for resilience were derived. Certain variance-based indicators were significantly positively correlated with most of the established health and functional traits, whereas the autocorrelation had a negligible correlation with these traits. A resilience selection index composed of 2 different variance-based resilience indicator traits was most likely to be recommended. Its correlation with overall performance was positive but moderately small. Incorporating more than 2 resilience indicator traits into the index improved the correlated response in health traits only slightly.
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spelling doaj-art-c7e4ea2c1fa943c7878a32e6f125531a2025-08-20T02:39:08ZengElsevierJournal of Dairy Science0022-03022025-01-01108172673410.3168/jds.2024-25323Toward a resilience selection index with indicator traits in German Holstein dairy cattleF. Keßler0R. Wellmann1M.G.G. Chagunda2J. Bennewitz3Institute of Animal Science, University of Hohenheim, 70599 Stuttgart, Germany; Corresponding authorInstitute of Animal Science, University of Hohenheim, 70599 Stuttgart, GermanyCentre of Tropical Livestock Genetics and Health (CTLGH), Roslin Institute/ILRI, Edinburgh, United Kingdom EH25 9RGInstitute of Animal Science, University of Hohenheim, 70599 Stuttgart, GermanyABSTRACT: Resilience expresses the ability of an individual to cope with short-term disturbances and to recover quickly by returning to the original level of performance. It can be measured by variance-based parameters and by the autocorrelation of daily milk yields in dairy cows. The design of resilience indicator traits and their heritabilities and genetic correlations have been studied in detail in recent years. There is a need to combine different resilience indicators in an index. The relevance of resilience indicator traits for incorporation into selection indices arises from their correlations with health traits and longevity. The correlations of diverse resilience indicator traits with health traits and longevity were analyzed. The resilience indicator traits were identified that would lead to the highest correlated selection response in the German selection index for health, and appropriate weights of the resilience indicator traits in a selection index for resilience were derived. Certain variance-based indicators were significantly positively correlated with most of the established health and functional traits, whereas the autocorrelation had a negligible correlation with these traits. A resilience selection index composed of 2 different variance-based resilience indicator traits was most likely to be recommended. Its correlation with overall performance was positive but moderately small. Incorporating more than 2 resilience indicator traits into the index improved the correlated response in health traits only slightly.http://www.sciencedirect.com/science/article/pii/S002203022401258Xvarianceautocorrelationresilience indexdairy cattleresilience
spellingShingle F. Keßler
R. Wellmann
M.G.G. Chagunda
J. Bennewitz
Toward a resilience selection index with indicator traits in German Holstein dairy cattle
Journal of Dairy Science
variance
autocorrelation
resilience index
dairy cattle
resilience
title Toward a resilience selection index with indicator traits in German Holstein dairy cattle
title_full Toward a resilience selection index with indicator traits in German Holstein dairy cattle
title_fullStr Toward a resilience selection index with indicator traits in German Holstein dairy cattle
title_full_unstemmed Toward a resilience selection index with indicator traits in German Holstein dairy cattle
title_short Toward a resilience selection index with indicator traits in German Holstein dairy cattle
title_sort toward a resilience selection index with indicator traits in german holstein dairy cattle
topic variance
autocorrelation
resilience index
dairy cattle
resilience
url http://www.sciencedirect.com/science/article/pii/S002203022401258X
work_keys_str_mv AT fkeßler towardaresilienceselectionindexwithindicatortraitsingermanholsteindairycattle
AT rwellmann towardaresilienceselectionindexwithindicatortraitsingermanholsteindairycattle
AT mggchagunda towardaresilienceselectionindexwithindicatortraitsingermanholsteindairycattle
AT jbennewitz towardaresilienceselectionindexwithindicatortraitsingermanholsteindairycattle