comparison among animals of breeding age (>6 years old) revealed that there was no difference between older (>10.5 years) versus younger (<10.5 years) pandas in terms of the proportion being Prime Breeders (p > 0.05 via chi square).
The primary purpose of the behavioural survey was to determine if there were any relationships between one or more personality traits and reproductive success, i.e. the ability to naturally mate and produce offspring. A binary logistic (logit) regression was used to relate the behavioural scores (averaged across all keepers) for each animal to the response binary variable, which was the Prime Breeder (historical data) category described by Ellis et al. (see Chapter 3). This included animals that were in good-to-excellent weight and health, displaying past 'normal' behaviours and with a history of either successful reproduction or no reproductive deficiencies.
The first analytical step involved developing a correlation matrix of the 23 behaviours to determine those that were closely related. Table 5.5 demonstrates that of the 253 possible variable pairs, 41 were significant (p < 0.05). Twenty-five were positively inter-related, with correlation coefficients ranging from 0.35 to 0.80, and 16 variable pairs were negatively related, with correlation coefficients ranging from —0.35 to —0.80 (see Table 5.5). Not surprisingly, the strongest correlation (r = 0.81) occurred between 'oestrus strength' and 'interest in pandas during oestrus'. Positive and negative relationships were logical,
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