State-of-the-Art models of Root System Architecture (RSA) do not allow simulating root growth around rigid obstacles. Yet, the presence of obstacles can be highly disruptive to the root system. We grew wheat seedlings in sealed petri dishes without obstacle and in custom 3D-printed rhizoboxes containing obstacles. Time-lapse photography was used to reconstruct the wheat root morphology network. We used the reconstructed wheat root network without obstacle to calibrate an RSA model implemented in the R-SWMS software. The root network with obstacles allowed calibrating the parameters of a new function that models the influence of rigid obstacles on wheat root growth. Experimental results show that the presence of a rigid obstacle does not affect the growth rate of the wheat root axes, but that it does influence the root trajectory after the main axis has passed the obstacle. The growth recovery time, i.e. the time for the main root axis to recover its geotropism-driven growth, is proportional to the time during which the main axis grows along the obstacle. Qualitative and quantitative comparisons between experimental and numerical results show that the proposed model successfully simulates wheat RSA growth around obstacles. Our results suggest that wheat roots follow patterns that could inspire the design of adaptive engineering flow networks.

译文

:根系统架构(RSA)的最新模型不允许模拟刚性障碍物周围的根生长。但是,障碍物的存在可能会严重破坏根系。我们在没有障碍的密封培养皿中以及在带有障碍物的定制3D打印根瘤菌中种植了小麦幼苗。延时摄影被用于重建小麦根的形态网络。我们使用无障碍的重建小麦根网络来校准在R-SWMS软件中实现的RSA模型。带有障碍物的根系网络可以校准新功能的参数,该功能可以模拟刚性障碍物对小麦根系生长的影响。实验结果表明,刚性障碍物的存在不会影响小麦根轴的生长速率,但是会影响主轴经过障碍物后的根轨迹。生长恢复时间,即主轴根部恢复其由地向性驱动的生长的时间,与主轴沿障碍物生长的时间成正比。实验和数值结果之间的定性和定量比较表明,该模型成功模拟了障碍物周围小麦RSA的生长。我们的结果表明,小麦根系遵循的模式可能会启发自适应工程流网络的设计。

+1
+2
100研值 100研值 ¥99课程
检索文献一次
下载文献一次

去下载>

成功解锁2个技能,为你点赞

《SCI写作十大必备语法》
解决你的SCI语法难题!

技能熟练度+1

视频课《玩转文献检索》
让你成为检索达人!

恭喜完成新手挑战

手机微信扫一扫,添加好友领取

免费领《Endnote文献管理工具+教程》

微信扫码, 免费领取

手机登录

获取验证码
登录