The goal is to create a mathematical model that takes into account genetic defects while evaluating the development rate of roan antelopes in Kenya's Ruma National Park.
Methodology: To estimate the population growth rate of roans, this work
modified Oksendal and Lungu's stochastic logistic model by integrating genetic
defects not included by Magin and Cock. Vortex version 9.99, a computer
simulation programme used to mimic the extinction process, was adjusted
appropriately.
Inbreeding has a high-level impact on population expansion (survival) in tiny
communities, according to the findings. Juvenile and adult roans were
supplemented to promote population survival for a longer period of time.
Author(s) Details
Daniel Ochieng Achola
Department of Mathematics, Kabarak University, Private Bag-20157, Nakuru, Kenya.
View Book :- https://stm.bookpi.org/TPMCS-V10/article/view/1071
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