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Furthermore, through the genetic task exercise it provides an effective and objective means to assess the training success and individualize training where required.
There is some evidence that multiple mating has beneficial effects on division of labor owing to genetic task determination (e.g., Oldroyd and Fewell 2007).
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Comparison with other complex SCCA models, building scalable KG-SCCA models, and applications to more complex imaging genetic tasks warrant further investigation.
After this initial self-training, trainees are asked to solve genetic tasks reflecting simple day-to-day problems experienced in a fly laboratory (File S4).
A number of genetic tasks (File S4), comparable with the ones in the PowerPoint presentation, are handed out to the trainees, and they are asked to design suitable mating schemes.
This chapter also briefly describes the standards used for data representation that enable these GDA tools to work together to complete a genetic design task and the emerging repositories that are available to archive and share these data.
In this paper we describe a system designed for assisting geneticists in vegetal genetic improvement tasks.
Student comments on the questionnaires suggested that the genetic training tasks are the weakest module of the training.
The fourth module consists of students performing genetic crossing tasks from the original training package, which is an essential step to consolidate and actively apply the newly acquired knowledge (Roote and Prokop 2013).
Fig. 5 Convergence of multi-objective fitness function of genetic algorithm-based task allocation.
A multi-objective genetic algorithm based task allocation scheme (explained in details in Section 6) is also implemented.
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