小麦,籽粒,蛋白质组分,模拟模型," /> 小麦,籽粒,蛋白质组分,模拟模型,"/> wheat,grain,protein composition,simulation model,"/> <font face="Verdana">Modelling Dynamic Grain Protein Composition in Wheat#br# </font>

Scientia Agricultura Sinica ›› 2009, Vol. 42 ›› Issue (7): 2326-2331 .doi: 10.3864/j.issn.0578-1752.2009.07.009

• TILLAGE & CULTIVATION·PHYSIOLOGY & BIOCHEMISTRY • Previous Articles     Next Articles

Modelling Dynamic Grain Protein Composition in Wheat#br#

SHI Xiao-yan, ZHU Yan, TANG Liang, CAO Wei-xing#br#   

  1. (南京农业大学农学院/江苏省信息农业高技术研究重点实验室)
  • Received:2008-07-04 Revised:2008-09-12 Online:2009-07-10 Published:2009-07-10
  • Contact: CAO Wei-xing

Abstract:

【Objective】 Modelling grain protein composition in wheat is of significant importance for evaluating wheat grain quality. 【Method】 Based on time-course observations on grain protein components under varied nitrogen rates and water regimes with different cultivars, the change patterns in contents of grain protein components with growth progress and environmental factors were characterized, and a dynamic model was developed to simulate formation processes of grain protein components in wheat grains. The dynamic content of albumin with growing degree days (GDD) after anthesis could be described with a power model, and the contents of gliadlin and glutenin could be described with a logarithmic model. The effects of nitrogen and water conditions on grain protein components were quantified with nitrogen and water factors. The model was validated with independent experiment data. 【Result】 The mean RMSEs of four grain protein components during filling stage under different temperatures were 0.44%, 0.58%, 0.53% and 0.59%, respectively, and the mean RMSEs at maturity were 0.41%, 0.56%, 0.75% and 0.56%, respectively. 【Conclusion】The results indicate that the present model has a good performance in predicting dynamic contents of grain protein components in wheat, which have laid a foundation for simulating wheat grain quality and improving wheat growth system.

Key words: wheat')">wheat, grain, protein composition, simulation model

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