A tool based on Bayesian networks for supporting geneticists in plant improvement by controlled pollination

In this paper we describe a system designed for assisting geneticists in vegetal genetic improvement tasks. The system is based on the use of Bayesian networks. It has been developed under the industrial demands emerging from the area of Campo de Dalías in Almería (Spain), and is therefore oriented to producing new tomato varieties, which constitute the main product in the area. The paper concentrates on the main aspects of the design of the system.