藏药匙叶翼首草高频组织培养再生体系优化研究

以匙叶翼首草种子为材料,探索种子最佳消毒方法,对影响无菌苗外植体愈伤组织诱导、增殖及植株再生的因素进行了研究。结果表明:(1)剥去外种皮的种子,经75%乙醇1min+0.1%HgCl_27min+50%多菌灵500倍液30min消毒后,在1/2 MS培养基中的发芽率达60.67%,无污染。(2)无菌苗的叶片和茎段都适宜诱导愈伤组织,在培养基MS+5.0mg·L^(-1) 6-BA+2.0mg·L^(-1) 2,4-D中可在10d内诱导出生长旺盛的愈伤组织,愈伤诱导率分别为84.00%、97.33%。(3)适宜的愈伤组织增殖培养基为MS+3.0mg·L^(-1) 6-BA+2.0mg·L^(-1) IAA,培养20d的叶片和茎段愈伤组织的生长率分别为74.37%、70.52%。(4)适宜的丛生芽诱导培养基为MS+3.0mg·L^(-1) 6-BA+2.0mg·L^(-1) IAA+250mg·L^(-1) L-脯氨酸+150mg·L^(-1)水解酪蛋白,30d后茎段和叶片的丛生芽发生率分别达到100%、94.44%。(5)再生苗在1/2 MS+0.5mg·L^(-1) NAA培养基中生根培养30d,生根率为100%。匙叶翼首草高效稳定的再生体系为保护其野生资源和工厂化育苗提供了有效途径。

浅谈复合地基处理在高速公路软基处理中的应用

软土地基作为路基工程的一部分,在高速公路中随处可见。在高速公路施工中,常出现软土路基的整体下沉或局部下沉等病害。为了尽量减少路堤在工程完工后对路面的影响和破坏,需要一套成熟的软基处理及复合地基施工技术,以保证其强度及稳定性。本文介绍了目前常见的粉喷桩和挤密碎石桩复合地基施工技术,为工程的工程技术人员提供参考。

体育游戏在幼儿园教学活动中的应用策略

随着教育改革的不断深化,对幼儿教育提出了新的要求。体育是幼儿园教育中不可或缺的重要组成部分,对于促进幼儿身体健康、及幼儿全面发展有着重要作用。在幼儿园体育活动中,将游戏融入到其中,能够有效调动幼儿参与体育活动的积极性,激发幼儿参与体育活动的兴趣。因此,本文将探讨幼儿体育游戏教学的重要性,并提供一些实施策略,以帮助教育者有效地开展幼儿体育游戏教学。

Methodology for production logging in oil-in-water flows under low flow rate and high water-cut conditions

This study aimed to obtain the production profiles of oil-in-water flow under low flow rate and high water-cut conditions in oil wells.A combination production profile logging composed of an arc-type conductance sensor(ATCS)and a cross-correlation flow meter(CFM)with a center body is proposed and experimentally evaluated.The ATCS is designed for water holdup measurement,whereas the CFM with a center body is proposed to obtain the mixture velocity.Then,a drift-flux model based on flow patterns is established to predict the individual-phase superficial velocity of oil-in-water flows.Results show that the ATCS possesses high resolution in water holdup measurement and that flow pattern information can be deduced from its signal through nonlinear time series analysis.The CFM can enhance the correlation of upstream and downstream signals and simplify the relationship between the cross-correlation velocity and mixture velocity.On the basis of the drift-flux model,individual-phase superficial velocities can be predicted with high accuracy for different flow patterns.