Although the feral sheep sampled were chosen so that they were representative of their populations, there is no guarantee that the farmers who maintain these populations on the NZ mainland have been able to maintain genetic diversity, especially because the flocks sizes are small compared to the original populations.
To model the flock sizes (the marks), we compared the fit of flock size data for each species to seven statistical distributions: positive Poisson, positive negative binomial, positive geometric, logarithmic, discretized lognormal, zeta and Yule Simon.
While the direct contribution of depredation to the decline in Jakar sheep population is minimal, it indirectly encouraged farmers to reduce the flock sizes for optimum sizes.
Compared with GPC and GPZ sequences which limit the flock size to be two, Z-complementary binary sequences [15] have fewer restrictions on the flock size.
The first breeding objective simulated a situation where the flock size cannot be increased due to non-feed related constraints (FLOCK).
In this simulation, the flock size, N, has the values of 20, 40, 60, 80 and 100.
In order to achieve interference-free OCC, the flock size of the signature code must be equal to the set size of the codes.
The second specifically assumed that the flock size is restricted due to limited amount of feed resources (FEED).
At the parent rearing farm, the flock size was 2,700 and at the brooding farms the flock size was 2,300.
This model considered the flock size by using the logarithm of the flock size as an offset (15, 16).
