INRA, Institut JP Bourgin, UR 254 station de génétique et d'amélioration des plantes, 78026 Versailles, France.
C R Biol. 2009 Nov;332(11):998-1006. doi: 10.1016/j.crvi.2009.09.011.
As part of a breeding strategy applied to pea (Pisum sativum L.), we propose the use of modelling as a tool for studying flowering time. The pea, both a crop and a model species for developmental processes, represents a valuable tool for systems biology approaches. A preliminary computational model for flowering control was previously developed based on genetic and physiological approaches. This paper discusses possible improvements of the model based on recent molecular advances on the regulation of flowering in peas and the model species Arabidopsis thaliana. A combination of a genetic approach together with agroecophysiological models that are not based on genotype, built into a complete model for flowering time prediction is also proposed. This complete model should allow an accurate prediction of flower initiation and also provide an integrative tool that will be useful for various purposes, from genetic networks to crop models.
作为豌豆（Pisum sativum L.）育种策略的一部分，我们建议使用建模作为研究开花时间的工具。豌豆既是作物，也是发育过程的模式物种，是系统生物学方法的宝贵工具。先前已经基于遗传和生理方法为开花控制开发了初步的计算模型。本文基于豌豆和拟南芥开花调控的最新分子进展，讨论了对该模型进行改进的可能性。还提出了将遗传方法与不基于基因型的农业生态生理模型相结合，构建一个完整的开花时间预测模型的建议。该完整模型应能够准确预测花的起始，并且提供一个综合工具，将对各种目的（从遗传网络到作物模型）都非常有用。
