Evidence map›Paper›PMID 42084647›Full record

ArticleAnimal cognition2026

Numerical competence in peafowl: small quantity discrimination.

Ming-Ray Liao, Ria Patel, Elizabeth J Connor, Maria Ulloa Yoshikawa, Katelyn N Steakley, Orianis A Moore, Jessica L Yorzinski

Abstract read
In one paragraph

Article in Animal cognition, 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

7 authors.

Ming-Ray LiaoDepartment of Psychological & Brain Sciences, Texas A&M University, College Station, TX, USA.
Ria PatelBiomedical Sciences Program, Texas A&M University, College Station, TX, USA.
Elizabeth J ConnorDepartment of Ecology and Conservation Biology, Texas A&M University, College Station, TX, USA.
Maria Ulloa YoshikawaDepartment of Ecology and Conservation Biology, Texas A&M University, College Station, TX, USA.
Katelyn N SteakleyDepartment of Ecology and Conservation Biology, Texas A&M University, College Station, TX, USA.
Orianis A MooreDepartment of Ecology and Conservation Biology, Texas A&M University, College Station, TX, USA.
Jessica L YorzinskiDepartment of Ecology and Conservation Biology, Texas A&M University, College Station, TX, USA. jyorzinski@tamu.edu.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The ability to discriminate numbers is widespread across taxonomically diverse animals. Some animals may have evolved enhanced numerical abilities to cope with specific social or ecological challenges. Peafowl (Pavo cristatus) are one example in which enhanced numerical abilities could be useful because peacocks have colorful trains that exhibit many eyespot feathers and females may evaluate the number of eyespot feathers to assess their mates. We therefore tested the numerical discrimination abilities of captive peafowl using a custom touchscreen apparatus. Peafowl were presented with two squares that contained a different number of circles (one to eight) and they received a reward for pecking on the square that contained more circles. To examine whether quantity factors aside from numerosity were influencing their performance, we varied the size, density or surface area of the circles. We found that the peafowl's performance was largely driven by numerosity rather than the other quantity factors. The peafowl generally performed at levels above chance regardless of the size, density or surface area of the circles. Their performance was also consistent with the Weber-Fechner Law, in which numerical discrimination is related to the ratio between numbers rather than the absolute difference. The results suggest that peafowl can discriminate among numbers and they could potentially use that ability during courtship or other contexts.

Indexed as

Discrimination, PsychologicalGalliformesAnimalsFemaleAvian cognitionCognitive ecologyNumerical cognitionNumerositySexual selectionWeber–Fechner law

Identifiers

PMID42084647
PMCPMC13315110

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.