[Objective] This study aimed to investigate the frequency of exogenous gene flow to non-transgenic conventional rice cultivars and assess the potential risks of marker-free of insect-resistant transgenic rice to agric...[Objective] This study aimed to investigate the frequency of exogenous gene flow to non-transgenic conventional rice cultivars and assess the potential risks of marker-free of insect-resistant transgenic rice to agricultural ecological environment. [Method] Insect-resistant transgenic rice variety HUAHUI No.1 was planted as the experimental material and surrounded by several non-transgenic conventional rice cultivars. F1 non-transgenic rice seeds were collected according to different distances and identified by using PCR technology, the frequency of exogenous gene flow from insect-resistant transgenic rice to non-transgenic conventional rice cultivars was counted and analyzed. [Result] The average frequency of exogenous Bt gene flow to P13381 and CHUNJIANG063 was 0. Transgene flow occurred to varying degrees from insect-resistant transgenic rice HUAHUI No.1 to several non-transgenic rice lines including HEX122-2, TIANXlANG, MINGHUI63 and Pl157, with the maximum average gene flow frequency of 0.875%. The frequency of gene flow was gradually reduced with the increase of distance, and the average transgene flow frequency de- creased to 0 in all the sampling points 7 m away from transgenic rice material. [Conclusion] This study revealed that the exogenous gene flow frequency of insect-re- sistant transgenic rice variety HUAHUI No.1 was very low, leading to very small risk to the eco-environment. Rational distribution in the field for physical isolation, keeping the appropriate distance and scientific farming arrangement to avoid the synchronization of flowering can effectively control the exogenous gene flow from transgenic rice and reduce he ecological risks caused by transgene escape.展开更多
The capacity drop forms a major reason why the prevention of congestion is targeted by traffic management, as lower capacities are detrimental to traffic throughput. Various reasons describing the dynamics behind the ...The capacity drop forms a major reason why the prevention of congestion is targeted by traffic management, as lower capacities are detrimental to traffic throughput. Various reasons describing the dynamics behind the capacity have been described, however one of these, reaction times, has had less explicit attention when modelling on a macroscopic flow level. In this contribution, a method to include the effect of reaction times for the capacity drop in heterogeneous traffic is proposed. The applied method further overcomes difficulties in including reaction times in a discrete time model through relaxation of the updating process in the discretization. This approach is novel for application in the considered first order approach, which is practise ready, contrary to many other models that propose similar approaches. The combination of the introduced method and the model form a solid development and method to apply the capacity drop based on this causation of the capacity drop. The results of the experiment case showed that the influence of traffic heterogeneity had a limited effect on the severity of the capacity drop, while it did influence the time of congestion onset. The influence of the reaction time on traffic showed greater capacity drop values for greater reaction time settings. The findings showed the method effective and valid, while the model application is also practise ready.展开更多
基金Supported by Project of Common Safety Assessment Technology for Genetically Modified Organisms of the Ministry of Agriculture of PRC(2011ZX08011-006)Project of Protection and Utilization of Agricultural Biological Resources"Intrusion Detection of Alien Species"~~
文摘[Objective] This study aimed to investigate the frequency of exogenous gene flow to non-transgenic conventional rice cultivars and assess the potential risks of marker-free of insect-resistant transgenic rice to agricultural ecological environment. [Method] Insect-resistant transgenic rice variety HUAHUI No.1 was planted as the experimental material and surrounded by several non-transgenic conventional rice cultivars. F1 non-transgenic rice seeds were collected according to different distances and identified by using PCR technology, the frequency of exogenous gene flow from insect-resistant transgenic rice to non-transgenic conventional rice cultivars was counted and analyzed. [Result] The average frequency of exogenous Bt gene flow to P13381 and CHUNJIANG063 was 0. Transgene flow occurred to varying degrees from insect-resistant transgenic rice HUAHUI No.1 to several non-transgenic rice lines including HEX122-2, TIANXlANG, MINGHUI63 and Pl157, with the maximum average gene flow frequency of 0.875%. The frequency of gene flow was gradually reduced with the increase of distance, and the average transgene flow frequency de- creased to 0 in all the sampling points 7 m away from transgenic rice material. [Conclusion] This study revealed that the exogenous gene flow frequency of insect-re- sistant transgenic rice variety HUAHUI No.1 was very low, leading to very small risk to the eco-environment. Rational distribution in the field for physical isolation, keeping the appropriate distance and scientific farming arrangement to avoid the synchronization of flowering can effectively control the exogenous gene flow from transgenic rice and reduce he ecological risks caused by transgene escape.
文摘The capacity drop forms a major reason why the prevention of congestion is targeted by traffic management, as lower capacities are detrimental to traffic throughput. Various reasons describing the dynamics behind the capacity have been described, however one of these, reaction times, has had less explicit attention when modelling on a macroscopic flow level. In this contribution, a method to include the effect of reaction times for the capacity drop in heterogeneous traffic is proposed. The applied method further overcomes difficulties in including reaction times in a discrete time model through relaxation of the updating process in the discretization. This approach is novel for application in the considered first order approach, which is practise ready, contrary to many other models that propose similar approaches. The combination of the introduced method and the model form a solid development and method to apply the capacity drop based on this causation of the capacity drop. The results of the experiment case showed that the influence of traffic heterogeneity had a limited effect on the severity of the capacity drop, while it did influence the time of congestion onset. The influence of the reaction time on traffic showed greater capacity drop values for greater reaction time settings. The findings showed the method effective and valid, while the model application is also practise ready.
