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    • 74. 发明申请
    • METHOD FOR DISPENSING GRAINS OF POLLEN
    • 分配花粉颗粒的方法
    • WO2013070854A1
    • 2013-05-16
    • PCT/US2012/064068
    • 2012-11-08
    • PIONEER HI-BRED INTERNATIONAL, INC.
    • COPE, Jason M.KRONE, Todd L.MCAVOY, Bradley T.
    • A01H1/02
    • A01G7/00A01H1/02
    • Methods for dispensing pollen contained in a solution onto a plant for pollination are provided herein. In one example embodiment, a method for dispensing grains of pollen comprises introducing a plurality of grains of pollen into a solution to create a pollen solution mixture. In some embodiments, the pollen solution mixture is contained in a pollen storage container. The method further comprises connecting the pollen storage container containing the pollen solution mixture to a dispensing device. The method further includes propelling at least a portion of the pollen solution mixture from the pollen storage container using the dispensing device to pollinate a plant.
    • 本发明提供将溶液中所含的花粉分配到植物上进行授粉的方法。 在一个示例性实施例中,一种用于分配花粉颗粒的方法包括将多个花粉颗粒引入溶液中以产生花粉溶液混合物。 在一些实施方案中,将花粉溶液混合物包含在花粉储存容器中。 该方法还包括将含有花粉溶液混合物的花粉储存容器连接到分配装置。 该方法还包括使用分配装置从花粉储存容器推进至少一部分花粉溶液混合物以授粉植物。
    • 75. 发明申请
    • METHODS AND COMPOSITIONS FOR SILENCING GENES USING ARTIFICIAL MICRORNAS
    • 使用人造微生物沉默基因的方法和组合物
    • WO2013063487A1
    • 2013-05-02
    • PCT/US2012/062249
    • 2012-10-26
    • E. I. DU PONT DE NEMOURS AND COMPANYPIONEER HI-BRED INTERNATIONAL
    • KUREK, ItzhakMCGONIGLE, BrianZHU, Genhai
    • C12N15/63C12N15/82
    • C07K14/415C12N9/14C12N9/88C12N15/8218C12N15/8269C12Y306/01C12Y401/01031
    • Methods and compositions are provided that employ microRNA (miRNA) that, when expressed in a plant cell, is capable of reducing the level of mRNA of a target sequence (i.e. endogenous sequence) without reducing the level of mRNA of one or more closely related sequences. While miRNAs can be designed with specificity for a particular target sequence, the instant application demonstrates that a miRNA can specifically silence a target sequence without silencing a closely related sequence having high sequence identity to the target sequence. In certain embodiments, an endogenous target sequence can be suppressed with a recombinant miRNA expression construct without silencing a recombinant polynucleotide of interest having a sequence closely related to the target sequence. Such methods and compositions employ recombinant miRNA expression constructs which produce a 21-nt miRNA. Transgenic plant cells, plants and seeds incorporating miRNA expression constructs and recombinant polynucleotide constructs comprising polynucleotides of interest are also provided.
    • 提供了使用微小RNA(miRNA)的方法和组合物,其在植物细胞中表达时能够降低靶序列(即内源序列)的mRNA水平而不降低一个或多个密切相关序列的mRNA水平 。 虽然miRNA可以针对特定靶序列被设计为特异性,但是本申请表明miRNA可以特异性沉默靶序列而不沉默与靶序列具有高序列同一性的紧密相关的序列。 在某些实施方案中,可以用重组miRNA表达构建体抑制内源靶序列,而不沉默具有与靶序列密切相关的序列的目标重组多核苷酸。 这些方法和组合物使用产生21-nt miRNA的重组miRNA表达构建体。 还提供了转基因植物细胞,植物和掺入miRNA表达构建体的种子和包含感兴趣的多核苷酸的重组多核苷酸构建体。
    • 77. 发明申请
    • AUTOMATIC DETECTION OF OBJECT PIXELS FOR HYPERSPECTRAL ANALYSIS
    • 自动检测用于高分辨分析的对象像素
    • WO2013055657A1
    • 2013-04-18
    • PCT/US2012/059299
    • 2012-10-09
    • PIONEER HI-BRED INTERNATIONAL, INC.
    • JANNI, James
    • G06K9/20
    • G06K9/2018G06K2209/17
    • A method is provided for automatically discerning between object and non-object pixels in a hyperspectral image data cube. In particular embodiments, the object of the method is a plant, plant part, plant trait, plant phenotype, plant pot or a plant medium. The method comprises a first step of providing a partial least squares discriminant analysis (PLSDA) algorithm and a second step of applying the PLSDA algorithm to a hyperspectral image data cube to automatically determine which pixels contain the spectral properties of the object. The PLSDA algorithm of the method can be generated by establishing a training matrix, performing an eigenvector decomposition of the training matrix, experimentally determining a weighted linear combination of object signal-containing eigenvectors, calculating a regression vector using the weighted linear combination of signal-containing eigenvectors, generating a mask matrix and multiplying the mask matrix by the hyperspectral image data cube along two spatial dimensions.
    • 提供了一种用于在高光谱图像数据立方体中自动辨别对象和非对象像素之间的方法。 在具体实施方案中,该方法的目的是植物,植物部分,植物性状,植物表型,植物花盆或植物培养基。 该方法包括提供偏最小二乘判别分析(PLSDA)算法的第一步骤和将PLSDA算法应用于高光谱图像数据立方体以自动确定哪些像素包含对象的光谱特性的第二步骤。 该方法的PLSDA算法可以通过建立训练矩阵,执行训练矩阵的特征向量分解,实验确定包含目标信号的特征向量的加权线性组合,使用加权的线性组合计算回归矢量 生成掩模矩阵,并沿着两个空间维度将掩模矩阵乘以高光谱图像数据立方体。