Organizing data

• Integrating across disciplines.

• Assist in genetic improvement;

□ Evaluate optimum genetic traits for specific environments.

□ Evaluate cultivar stability under long term weather.

Penning de Vries (1977) emphasized that simulation models contribute to our understanding of the real system which in-turn helps to bridge areas and levels of knowledge. It is believed that in conversion of conceptual models into mathematical simulation models the agrometeorologists can understand the gaps in their knowledge. So, the interdisciplinary nature of simulation modeling efforts leads to increased research efficacy and improved research direction through direct feedback. In this direction de Wit and Goudriaan (1978) developed BAsic CROp growth Simulator (BACROS) which was used as a reference model for developing other models and as a basis for developing summary models. Also O Toole and Stockle (1987) described the potential of simulation models in assessing trait benefits of winter cereals and their capacity to survive and reproduce in stress-prone environment. Crop growth models have been used in plant breeding to simulate the effects of changes in the morphological and physiological characteristics of crops which aid in identification of ideotypes for different environments (Hunt, 1993; Kropff et al,, 1995).

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