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Animal Cognition (2020) 23:703–710
https://doi.org/10.1007/s10071-020-01378-z
ORIGINAL PAPER
Food quantity discrimination inpuppies (Canis lupus familiaris)
MariaElenaMilettoPetrazzini1· FabioMantese2· EmanuelaPrato‑Previde3
Received: 16 November 2019 / Revised: 24 March 2020 / Accepted: 30 March 2020 / Published online: 6 April 2020
© Springer-Verlag GmbH Germany, part of Springer Nature 2020
Abstract
There is considerable evidence that animals are able to discriminate between quantities. Despite the fact that quantitative
skills have been extensively studied in adult individuals, research on their development in early life is restricted to a limited
number of species. We, therefore, investigated whether 2-month-old puppies could spontaneously discriminate between
different quantities of food items. We used a simultaneous two-choice task in which puppies were presented with three
numerical combinations of pieces of food (1 vs. 8, 1 vs. 6 and 1 vs. 4), and they were allowed to select only one option. The
subjects chose the larger of the two quantities in the 1 vs. 8 and the 1 vs. 6 combinations but not in the 1 vs. 4 combination.
Furthermore, the last quantity the puppies looked at before making their choice and the time spent looking at the larger/
smaller amounts of food were predictive of the choices they made. Since adult dogs are capable of discriminating between
more difficult numerical contrasts when tested with similar tasks, our findings suggest that the capacity to discriminate
between quantities is already present at an early age, but that it is limited to very easy discriminations.
Keywords Quantity discrimination· Dog· Puppies· Food choice task· Development
Introduction
Being able to correctly estimate whether one quantity is
larger or smaller than another confers advantages in sev-
eral ecological contexts and allows animals to cope with
problems in their natural environments. For instance, such a
competence is useful in regulating intergroup conflicts based
on the number of individuals in an opponent group, selecting
the best mating strategy according to the number of potential
mating partners, and reducing predation risk by joining a
larger group of social companions. Because of their high
adaptive value, it is not surprising that quantitative abilities
have been widely described both in vertebrate and in inverte-
brate species (Agrillo and Bisazza 2018; Geary etal. 2014).
The benefits associated with quantitative abilities are
probably most obvious in a foraging context in which
animals try to maximise the amount of energy which they
acquire (Stephens and Krebs 1986) by selecting larger food
sources. A wealth of studies has exploited the natural pref-
erence for larger amounts of food to investigate the quan-
titative abilities of several species. One commonly used
paradigm is the spontaneous choice task, in which animals
are offered two quantities of food items and are allowed to
choose only one option. Species as different as elephants
(Perdue etal. 2012), olive baboons (Barnard etal. 2013),
cats (Bánszegi etal. 2016), crows (Bogale etal. 2014), tor-
toises (Gazzola etal. 2018), and guppies (Lucon-Xiccato
etal. 2015) proved able to select sets that contained larger
quantities of food. However, their performances were ratio-
dependent, and their accuracy decreased as the ratio between
the quantities being compared increased (e.g., discriminating
between 3 vs. 12 items with a 0.25 ratio was easier than dis-
criminating between 3 vs. 5 items with a 0.6 ratio) (Ferrigno
and Cantlon 2017).
To date, longitudinal data on numerical competence are
only available in humans. There is clear evidence that our
species is endowed with a “numbers sense”, namely the abil-
ity to discriminate between sets of different number of items
(Dehaene 1997), which is supported by the “approximate
number system” (ANS) (Halberda and Feigenson 2008).
The ANS allows humans to discriminate between quantities
* Maria Elena Miletto Petrazzini
mariaelena.milettopetrazzini@gmail.com
1 School ofBiological andChemical Sciences, Queen Mary
University ofLondon, London, UK
2 Department ofAnimal andHuman Biology, University
ofTurin, Turin, Italy
3 Department ofPathophysiology andTransplantation,
University ofMilan, Milan, Italy
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