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Can Donkey Behavior and Cognition Be Used to Trace Back, Explain, or Forecast Moon Cycle and Weather Events?

Authors :
Navas González FJ
Jordana Vidal J
Pizarro Inostroza G
Arando Arbulu A
Delgado Bermejo JV
Source :
Animals : an open access journal from MDPI [Animals (Basel)] 2018 Nov 19; Vol. 8 (11). Date of Electronic Publication: 2018 Nov 19.
Publication Year :
2018

Abstract

Donkeys have been reported to be highly sensitive to environmental changes. Their 8900⁻8400-year-old evolution process made them interact with diverse environmental situations that were very distant from their harsh origins. These changing situations not only affect donkeys' short-term behavior but may also determine their long-term cognitive skills from birth. Thus, animal behavior becomes a useful tool to obtain past, present or predict information from the environmental situation of a particular area. We performed an operant conditioning test on 300 donkeys to assess their response type, mood, response intensity, and learning capabilities, while we simultaneously registered 14 categorical environmental factors. We quantified the effect power of such environmental factors on donkey behavior and cognition. We used principal component analysis (CATPCA) to reduce the number of factors affecting each behavioral variable and built categorical regression (CATREG) equations to model for the effects of potential factor combinations. Effect power ranged from 7.9% for the birth season on learning ( p < 0.05) to 38.8% for birth moon phase on mood ( p < 0.001). CATPCA suggests the percentage of variance explained by a four-dimension-model (comprising the dimensions of response type, mood, response intensity and learning capabilities), is 75.9%. CATREG suggests environmental predictors explain 28.8% of the variability of response type, 37.0% of mood, and 37.5% of response intensity, and learning capabilities.

Details

Language :
English
ISSN :
2076-2615
Volume :
8
Issue :
11
Database :
MEDLINE
Journal :
Animals : an open access journal from MDPI
Publication Type :
Academic Journal
Accession number :
30463193
Full Text :
https://doi.org/10.3390/ani8110215