Evidence map›Paper›PMID 42738545›Full record

ReviewAnimals : an open access journal from MDPI2026

Dog Breeds for the Future: Theoretical Assessment of Strategies for Enhancing the Behavioural Reliability of Existing Dog Breeds, or Developing New Ideal Urban Companion Dogs.

Péter Pongrácz, Petra Dobos

Abstract readReview
In one paragraph

Review in Animals : an open access journal from MDPI, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

2 authors.

Péter PongráczDepartment of Ethology, ELTE Eötvös Loránd University, Pázmány Péter sétány 1/c, 1117 Budapest, Hungary.ORCID 0000-0001-5126-299X
Petra DobosDepartment of Ethology, ELTE Eötvös Loránd University, Pázmány Péter sétány 1/c, 1117 Budapest, Hungary.ORCID 0009-0006-4615-5181

Funding

Ministry for Innovation and Technology EKÖP-25-3-I-ELTE-147; EKÖP-26-3-I-ELTE-2026012Morris Animal Foundation D25CA-039National Research, Development and Innovation Office K143077
6 · The paper itself

Abstract

The original function of many dog breeds no longer fits the requirements of an easy-going companion. Caretakers can also be overdemanding regarding their dogs' ability to cope with societal expectations. We propose and evaluate four strategies for readjusting the dog-human relationship by highlighting their positive and negative outcomes. (1) 'Converge': dog breeds should be changed towards the amicable dog's behavioural characteristics; thus, once the goal is reached, even novice dog owners can safely own almost any dog they fancy. (2) 'Diverge': the original behavioural/temperament traits of dog breeds should be fortified through stabilizing selection. This method emphasizes dog owners' responsibility when choosing among the various dog breeds. (3) 'Split': a combination of the previous two, when clearly distinct and reliable companion and working types are selected within the same breed. (4) 'Merge': we should create new 'urban dog breeds'. This method would provide 'foolproof' companion dog variants and at the same time relies on the prospective owners' responsibility to choose their dog wisely. We provide a critical assessment of potential positive and negative features of each strategy, including ethical and feasibility concerns. Biologists should provide a scientific background to support a solution that favours the needs of both species in coexistence.

Indexed as

amicabilitycompanion animalsdirectional selectiondog breedspublic demand

Identifiers

PMID42738545
PMCPMC13564546

What OpenQuestion holds

Textmetadata
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.