• 两个物种有效地合作分解水稻幼苗作为它们的营养来源造成一种水稻立枯病植物病害

    The two species effectively team up to break down young rice plants for their nutrients, causing a plant disease known as rice seedling blight.

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  • 讲讲植物病害主要病原,好吗?

    Could you tell me the main causal agents of plant diseases?

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  • 植物病害生物防治一直是农业研究热点

    The agriculture study has been focused on biocontrol of plant disease for a long time.

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  • 课程包括光合作用基因学植物病害等。

    Topics of study include photosynthesis, genetics, plant diseases, and more.

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  • 目的应用木霉制剂防治几种药用植物病害

    Objective:To control the medicinal plant diseases with the preparation of Trichoderma harzianum .

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  • 植物病害传播

    Disease of animal and vegetable pests propagate with extreme rapidity.

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  • 植物病害一直农业生产主要限制因子之一

    Plant diseases is one of the main restrict factors for agricultural production.

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  • 植物人工免疫技术植物病害防治得到应用

    The techniques of plant artificial immunization have been applied to plant diseases control.

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  • 目的掌握阿拉善荒漠草原植物病害种类系。

    Objective Handle plant disease type and region in Alashan desert grassland.

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  • 病原真菌引起植物病害一类重要病原微生物

    Pathogenetic fungi is a type of important microorganism causing plant diseases.

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  • 全所共设三个植物病害系、农业害虫系和农药系。

    There are three departments in IPP, namely department of Plant Diseases, department of Agricultural Pests, as well as department of Agro-chemicals.

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  • 各种植物病害中,霉菌引起的疫病一类重要病害

    In all kind of plant diseases, phytophthora disease which is caused by phytophthora is a sort of important disease.

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  • 本文植物病害重要生防因子之一链霉菌作了综述总结。

    Streptomyces spp. , as ones of important biocontrol agents to control plant disease, are summarized in this paper.

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  • 几丁质聚糖酶植物病害生物防治作用中具有重要的作用。

    Chitinase and glucanase are very important in plant disease biological control.

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  • 应用木霉制剂防治药用植物病害中药材规范化种植提供了技术保证

    Using the preparation to control medicinal plant diseases provides a technical safeguard for the good agricultural practice of medicinal plants.

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  • 不同分类函数相互比较分析表明线性函数适于植物病害的分类识别

    The comparison of different kernel functions for SVM shows that liner kernel function is most suitable for shape recognition of plant disease spot.

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  • 不过良好条件不仅植物植物病害沾了光于是发生了严重感染锈病的灾情。

    But the conditions that were good for plants were also good for plant diseases, and a severe infection of yellow rust developed.

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  • 植物真菌病害植物病害严重一种病害,是造成农业损失主要原因之一

    Plant fungicidal disease is one of the most serious plant diseases, it is also one of the most primary reasons that cause agricultural loss. Fungi lives everywhere.

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  • 另外,回收由此得到丝状孢子使植物接触有效地防治植物病害

    The filamentous fungus spores obtained in this way are recovered and brought into contact with a plant, whereby a plant disease is effectively prevented.

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  • 通过室内毒力测定温室盆栽试验探讨复方白毛藤提取植物病害防治上的作用。

    The probability of compound Solanum lyratum thunb extraction on control plant diseases was discussed through in vitro and potted test.

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  • 蛋白质纳米复合体可以用于植物病害防治促进植物生长提高农作物产量

    The protein nano complex can be used for preventing and controlling plant diseases, promoting the growth of plants and improving crop yield.

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  • 炭疽病世界性植物病害,对许多作物构成严重威胁,尤其热带亚热带地区

    Anthracnose is one of the most important plant diseases worldwide, which could seriously infect many crops, especially in tropical and subtropical regions.

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  • 以上实验结果植物病害生物防治开发植物农药方面提供理论依据实验技术

    These results can provide theoretical basis and experimental techniques for the biological control of plant diseases and the development of botanical pesticides.

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  • 发明的制剂配制工艺简单成本低廉,经济效益显著适宜用于防治多种植物病害

    The preparation has simple preparation process, low cost and obvious economic benefit and is suitable for preventing and treating various plant diseases.

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  • 木霉菌产生抑制植物病原真菌生长活力抗菌物质,是理想植物病害生物防治菌。

    Their ability to produce antifungal compounds that limit growth and activity of plant pathogenic fungi make them ideal candidates for plant disease control.

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  • 首先利用色度提取植物病害叶片特征向量然后利用支持向量机分类方法进行病害识别

    At first extracting features of chromaticity moments was done then classification method of SVM for recognition of plant disease was discussed.

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  • 首先利用色度提取植物病害叶片特征向量然后利用支持向量机分类方法进行病害识别

    At first extracting features of chromaticity moments was done then classification method of SVM for recognition of plant disease was discussed.

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