[Objective] The nematicidal activity of plant extracts was investigated. We aimed to explore a kind of botanical pesticide to control Hirschmanniella spp. [Method] The Chuanxiong （root）, agrimony （whole plant）, co...[Objective] The nematicidal activity of plant extracts was investigated. We aimed to explore a kind of botanical pesticide to control Hirschmanniella spp. [Method] The Chuanxiong （root）, agrimony （whole plant）, cocklebur （grain）, basil （leaves）, ragweed （stems and leaves）, green onion （root）, garlic （tuber）, Yuzhu （leaves）, marshpeper smartweed （whole plant）, horseweed （aboveground stems and leaves） were dried, grinded and sieved. The powders were then extracted by ethanol at room temperature for 24 h. The extract solutions were filtered through fil- ter pater. The obtained plant extracts were then diluted to determine their nematici- dal activities. [Result] The Chuanxiong extract had the highest nematicidal activity, followed by cocklebur extract, agrimony extract, basil extract, garlic extract, ragweed extract. The horseweed extract had the lowest nematicidal activity. [Conclusion] The Chuanxiong and other plants were natural, and they had a good environmental compatibility. They could be developed as botanical pesticides against Hirschman- niella spp.展开更多
A 3D stereotomography algorithm, which is derived from the 3D Cartesian coordinate, is applied for the first time to the deep-sea data acquired in the LH area, South China Sea, to invert a macro velocity model for pre...A 3D stereotomography algorithm, which is derived from the 3D Cartesian coordinate, is applied for the first time to the deep-sea data acquired in the LH area, South China Sea, to invert a macro velocity model for pre-stack depth migration. The successful implementation of stereotomography is highly dependent on the correct extraction of slowness components and the proper application of regularization terms. With the help of the structure tensor algorithm, a high-quality 3D stereotomography data space is achieved in a very efficient manner. Then, considering that the horizontal slowness in cross-line direction is usually unavailable for 3D narrow-azimuth data, the regularization terms must be enhanced to guarantee a stable convergence of the presented algorithm. The inverted model serves as a good model for the 3D pre-stack depth migration. The synthetic and real data examples demonstrated the robustness and effectiveness of the presented algorithm and the related schemes.展开更多
基金Supported by Science and Technology Project of Hunan Provincial Department of Education(11A059)Earmarked Fund for China Agriculture Research System(CARS19-05B)~~
文摘[Objective] The nematicidal activity of plant extracts was investigated. We aimed to explore a kind of botanical pesticide to control Hirschmanniella spp. [Method] The Chuanxiong （root）, agrimony （whole plant）, cocklebur （grain）, basil （leaves）, ragweed （stems and leaves）, green onion （root）, garlic （tuber）, Yuzhu （leaves）, marshpeper smartweed （whole plant）, horseweed （aboveground stems and leaves） were dried, grinded and sieved. The powders were then extracted by ethanol at room temperature for 24 h. The extract solutions were filtered through fil- ter pater. The obtained plant extracts were then diluted to determine their nematici- dal activities. [Result] The Chuanxiong extract had the highest nematicidal activity, followed by cocklebur extract, agrimony extract, basil extract, garlic extract, ragweed extract. The horseweed extract had the lowest nematicidal activity. [Conclusion] The Chuanxiong and other plants were natural, and they had a good environmental compatibility. They could be developed as botanical pesticides against Hirschman- niella spp.
基金funded by China Natural Science Foundation(Nos.41574098 and 41630964)China key specialized project(No.2016ZX05026-001-03)
文摘A 3D stereotomography algorithm, which is derived from the 3D Cartesian coordinate, is applied for the first time to the deep-sea data acquired in the LH area, South China Sea, to invert a macro velocity model for pre-stack depth migration. The successful implementation of stereotomography is highly dependent on the correct extraction of slowness components and the proper application of regularization terms. With the help of the structure tensor algorithm, a high-quality 3D stereotomography data space is achieved in a very efficient manner. Then, considering that the horizontal slowness in cross-line direction is usually unavailable for 3D narrow-azimuth data, the regularization terms must be enhanced to guarantee a stable convergence of the presented algorithm. The inverted model serves as a good model for the 3D pre-stack depth migration. The synthetic and real data examples demonstrated the robustness and effectiveness of the presented algorithm and the related schemes.
