Articles
DO WE NEED NEW APPROACHES FOR HORTICULTURAL CROP MODELLING?
Article number
654_17
Pages
165 – 170
Language
English
Abstract
Needs for improvements of horticultural crops models are seen in the description of the morphological structure and the genotypic reaction characteristics of plants.
Structural models allow detailed descriptions and analyses of the interactions between the plant and its biotic and abiotic environment, particularly light.
Lindenmayer systems are a closely related to formal languages and allow the modelling of structural development using simple principles.
However, with increasing considerations of interactions between structural growth and the environment or physiological processes the elegance of L-systems which lies in their simplicity, declines.
A promising co-evolution of physiological crop models and plant genetics can be foreseen: The advancement of genetic knowledge will improve the physiological knowledge on which growth models are based, and growth models will assist genetics in better understanding the physiological impact of DNA sequences.
Also, practical plant breeding could benefit from gene-based crop growth models in the identification of breeding objectives as well as the optimisation of testing.
As the variety of modelling approaches increases modellers are facing the interesting task to combine new approaches with further development of traditional physiological crop modelling.
Structural models allow detailed descriptions and analyses of the interactions between the plant and its biotic and abiotic environment, particularly light.
Lindenmayer systems are a closely related to formal languages and allow the modelling of structural development using simple principles.
However, with increasing considerations of interactions between structural growth and the environment or physiological processes the elegance of L-systems which lies in their simplicity, declines.
A promising co-evolution of physiological crop models and plant genetics can be foreseen: The advancement of genetic knowledge will improve the physiological knowledge on which growth models are based, and growth models will assist genetics in better understanding the physiological impact of DNA sequences.
Also, practical plant breeding could benefit from gene-based crop growth models in the identification of breeding objectives as well as the optimisation of testing.
As the variety of modelling approaches increases modellers are facing the interesting task to combine new approaches with further development of traditional physiological crop modelling.
Publication
Authors
H. Stützel, K. Kahlen
Keywords
structural model, plant architecture, L-systems, gene-based model, QTL
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