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Testing variation of locomotor activity and work within families of a social African mole-rat (\kur{Fukomys darlingi}), using the Trovan technology electronic identification system
ENGLOVÁ, Terezie
Activity of social mole-rats´ and their contribution to work and cooperative tasks are explained by two different types of polyethism, caste and age polyethism. Behavioural castes, based on different contributions to cooperative tasks were defined in many mole- rats´ species. However, additional experiments which would simulate higher working activity through manipulation with substrate or removal of some family members are rare. Contrary, in field and different laboratory studies, differences between individuals in the amount of work performed and task allocation were rather continual, and based on age (body mass). This study reveals locomotor and working activity of five families of Fukomys darlingi (43 individuals) which were obtained by radio-identification monitoring system and personal observation. Each family was tested twice, for the first time established families were tested and then after removal of most active workers. The Activity is related to individuals´ body mass, sex and reproductive status.
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Introduction of Castes in Evolution of Artificial Beings
Trunda, Otakar ; Hric, Jan (advisor) ; Holan, Tomáš (referee)
In present work we study questions about introduction of castes in evolution of artificial beings. We present the concept that allows defining various castes and its mutual relations and simulating life of members of these castes in virtual environment. We describe features of our concept and illustrate its usability on several typical scenarios using castes. In this environment we study model situations where the beings in virtual world play different roles. We observe the simulations and its results trying to learn what impact the initial conditions, agents parameters (such as Life expectancy) and environment parameters (e.g. mutation probability) have on the outcome of the simulation.
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Physiological changes during honeybee (Apis mellifera) ontogenesis and between castes
Martišková, Ester ; Erban, Tomáš (advisor) ; Čapková Frydrychová, Radmila (referee)
This work is focused on describing the individual differences in physiology of honeybee Apis mellifera during its development. It also compares the differences between the individual caste. A lot of complex rebuilding of the whole organism takes place during the development of Apis Mellifera. Because of that, especially in the early stages, it is important to ensure a great supply of energy. Larvae need to acquire an abundant source of nutrients, so they can grow fast and have a sufficient storage for the pupal stage, during which the new body reorganization takes place. Newly emerged bees then need to quickly get accustomed to the new environment a assume their role in the hive. Queens need a constant supply of energy, so they can lay eggs for as long as possible. Drones focuse mainly on mating with the queen. The life of Apis mellifera is also influenced by other factors, primarly by numerous diseases and pathogens. The results of this work can give a comprehensive idea about the complex development of an individual bee and give a of further research. There are still a lot a lot of unanswered and unexplored realities in biology of bees, that could a topic of study and help us better understand their importance for nature.
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Introduction of Castes in Evolution of Artificial Beings
Trunda, Otakar ; Hric, Jan (advisor) ; Holan, Tomáš (referee)
In present work we study questions about introduction of castes in evolution of artificial beings. We present the concept that allows defining various castes and its mutual relations and simulating life of members of these castes in virtual environment. We describe features of our concept and illustrate its usability on several typical scenarios using castes. In this environment we study model situations where the beings in virtual world play different roles. We observe the simulations and its results trying to learn what impact the initial conditions, agents parameters (such as Life expectancy) and environment parameters (e.g. mutation probability) have on the outcome of the simulation.
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