Characterization of German sheep production systems and derivation of respective economic values for breeding traits.

J Oberpenning, K Brügemann, S König

Abstract read

In one paragraph

Article in Veterinary and animal science, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it

0cells of the map it votes in

1citing 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

1 citing paper in PubMed.

Beef Breeding Systems and Preferences for Breeding Objective Traits.Animals : an open access journal from MDPI · 2025
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

3 authors.

J OberpenningInstitute of Animal Breeding and Genetics, University of Giessen, Ludwig St. 21B, 35390 Giessen, Germany.

K BrügemannInstitute of Animal Breeding and Genetics, University of Giessen, Ludwig St. 21B, 35390 Giessen, Germany.

S KönigInstitute of Animal Breeding and Genetics, University of Giessen, Ludwig St. 21B, 35390 Giessen, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The aim of this study was to derive economic weights for sheep breeding goal traits for specific cluster types. The herd clustering approach considered 25 German sheep herds including descriptors related to area-based factors, management factors, herd information and socio-economic characteristics. The evaluation criterion suggested the application of agglomerative hierarchical clustering with the respective allocation of 25 herds to 3 different clusters. The clusters mainly differed with regard to herd size, production focus, and organic versus conventional management practices. The ongoing contingent valuation approach to derive cluster specific economic weights for 12 breeding goal traits based on the willingness to pay (WTP) considering 25 German sheep farmers, a hypothetical budget of 1000 € for the improvement of a trait per 1 genetic SD, and linear mixed model applications. Significant cluster differences for the WTP (

Indexed as

Breeding goalsCluster analysisContingent valuationEconomic weightsSheep production systems

Identifiers

PMID40093713

DOI10.1016/j.vas.2025.100432

PMCPMC11910672

What Socratic 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 Socratic graph.