Evidence map›Paper›PMID 35287581›Full record

ArticleGenetics, selection, evolution : GSE2022

Development of resilience indicator traits based on daily step count data for dairy cattle breeding.

Marieke Poppe, Han A Mulder, Mathijs L van Pelt, Erik Mullaart, Henk Hogeveen, Roel F Veerkamp

Abstract read
In one paragraph

Article in Genetics, selection, evolution : GSE, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

16 citing papers in PubMed.

  1. Analysing Resilience Indicator Traits in Austrian Fleckvieh, Brown Swiss and Holstein-Friesian Cattle.Journal of animal breeding and genetics = Zeitschrift fur Tierzuchtung und Zuchtungsbiologie · 2026
    Article
  2. Article
  3. Review
  4. Article
  5. Review
  6. Article
  7. Article
  8. Article
  9. Sequence variants associated with resilient responses in growing pigs.Journal of animal breeding and genetics = Zeitschrift fur Tierzuchtung und Zuchtungsbiologie · 2025
    Article
  10. Selection for Resilience in Livestock Production Systems.International journal of molecular sciences · 2024
    Review
  11. Article
  12. Review
  13. Article
  14. Article
  15. Article
  16. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Marieke PoppeAnimal Breeding and Genomics, Wageningen University and Research, PO Box 338, 6700 AH, Wageningen, The Netherlands. marieke.poppe@crv4all.com.ORCID http://orcid.org/0000-0001-7801-3942
Han A MulderAnimal Breeding and Genomics, Wageningen University and Research, PO Box 338, 6700 AH, Wageningen, The Netherlands.
Mathijs L van PeltCooperation CRV, Animal Evaluation Unit, PO Box 454, 6800 AL, Arnhem, The Netherlands.
Erik MullaartCRV BV, Innovation, PO Box 454, 6800 AL, Arnhem, The Netherlands.
Henk HogeveenWageningen University and Research, Business Economics, PO Box 8130, 6700 EW, Wageningen, The Netherlands.
Roel F VeerkampAnimal Breeding and Genomics, Wageningen University and Research, PO Box 338, 6700 AH, Wageningen, The Netherlands.

Funding

breed4food Food project 16022breed4food TKI Agrigentore 727213
6 · The paper itself

Abstract

backgroundResilient animals are minimally affected by disturbances, such as diseases and heat stress, and quickly recover. Daily activity data can potentially indicate resilience, because resilient animals likely keep variations due to disturbances that threat animal homeostasis at a low magnitude. We used daily step count of cows to define resilience indicators based on theory, exploratory analysis and literature, and then investigated if they can be used to genetically improve resilience by estimating heritability and repeatability, and genetic associations with other resilience-related traits, i.e. health traits, longevity, fertility, and body condition score (BCS).

resultsTwo groups of resilience indicators were defined: indicators describing (1) mean step count at different lactation stages for individual cows, and (2) fluctuations in step count from individual step count curves. Heritability estimates were highest for resilience indicators describing mean step count, from 0.22 for the 2-week period pre-partum to 0.45 for the whole lactation. High mean step count was consistently, but weakly, genetically correlated with good health, fertility, and longevity, and high BCS. Heritability estimates of resilience indicators describing fluctuations ranged from 0.01 for number of step count drops to 0.15 for the mean of negative residuals from individual curves. Genetic correlations with health traits, longevity, fertility, and BCS were mostly weak, but were moderate and favorable for autocorrelation of residuals (- 0.33 to - 0.44) and number of step count drops (- 0.44 to - 0.56) with hoof health, fertility, and BCS. Resilience indicators describing variability of residuals and mean of negative residuals showed strong genetic correlations with mean step count (0.86 to 0.95, absolute), which suggests that adjustment for step count level is needed. After adjustment, 'mean of negative residuals' was highly genetically correlated with hoof health, fertility, and BCS.

conclusionsMean step count, autocorrelation and mean of negative residuals showed most potential as resilience indicators based on resilience theory, heritability, and genetic associations with health, fertility, and body condition score. Other resilience indicators were heritable, but had unfavorable genetic correlations with several health traits. This study is an important first step in the exploration of the use of activity data to breed more resilient livestock.

Indexed as

FertilityLactationAnimalsCattleFemaleLongevityPhenotype

Identifiers

PMID35287581
PMCPMC8919560

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.