Abstract: The compositions and methods disclosed relate to DNA compositions, plant cells, seeds, plant parts that relate to maize plants with increased grain yield trait. Also provided are assays for detecting the presence of the maize DP-202216-6 event based on the DNA sequence of the recombinant construct inserted into the maize genome and the DNA sequences flanking the insertion site. Kits and conditions useful in conducting the assays are provided.

Abstract: The compositions and methods disclosed relate to DNA compositions, plant cells, seeds, plant parts that relate to maize plants with increased grain yield trait. Also provided are assays for detecting the presence of the maize DP-202216-6 event based on the DNA sequence of the recombinant construct inserted into the maize genome and the DNA sequences flanking the insertion site. Kits and conditions useful in conducting the assays are provided.

Abstract: The present application relates to plant growth promoting microbes (PGPMs), compositions comprising these PGPMs and methods of using these PGPMs and a plant or plant seed, wherein the plant or plant seed comprises at least one grain yield enhancing trait, for enhancing plant health, plant growth and/or plant yield, and/or for preventing, inhibiting, or treating the development of plant pathogens or the development of phytopathogenic diseases.

Abstract: The compositions and methods disclosed relate to DNA compositions, plant cells, seeds, plant parts that relate to maize plants with increased grain yield trait. Also provided are assays for detecting the presence of the maize DP-202216-6 event based on the DNA sequence of the recombinant construct inserted into the maize genome and the DNA sequences flanking the insertion site. Kits and conditions useful in conducting the assays are provided.

Abstract: The compositions and methods disclosed relate to DNA compositions, plant cells, seeds, plant parts that relate to maize plants with increased grain yield trait. Also provided are assays for detecting the presence of the maize DP-202216-6 event based on the DNA sequence of the recombinant construct inserted into the maize genome and the DNA sequences flanking the insertion site. Kits and conditions useful in conducting the assays are provided.

Abstract: The compositions and methods disclosed relate to DNA compositions, plant cells, seeds, plant parts that relate to maize plants with increased grain yield trait. Also provided are assays for detecting the presence of the maize DP-202216-6 event based on the DNA sequence of the recombinant construct inserted into the maize genome and the DNA sequences flanking the insertion site. Kits and conditions useful in conducting the assays are provided.

Abstract: The compositions and methods disclosed relate to DNA compositions, plant cells, seeds, plant parts that relate to maize plants with increased grain yield trait. Also provided are assays for detecting the presence of the maize DP-202216-6 event based on the DNA sequence of the recombinant construct inserted into the maize genome and the DNA sequences flanking the insertion site. Kits and conditions useful in conducting the assays are provided.

Abstract: The disclosure relates to systems, compositions and methods for providing nutrients, fertilizers, crop protection agents and other crop inputs for a plant. The disclosure also relates to methods for increasing the uptake of a crop active compound into a growing plant.

Abstract: Methods for modulating plants using optimized ZmME293 down-regulation constructs are disclosed. Also disclosed are nucleotide sequences, constructs, vectors, and modified plant cells, as well as transgenic plants displaying increased seed and/or biomass yield, improved tolerance to abiotic stress such as drought or high plant density, improved nitrogen utilization efficiency, increased ear number and/or reduction in time to scenescence.

Abstract: A method for targeting trait phenotyping of a plant breeding experiment includes collecting soil data for at least one location, applying the soil data to a crop model, performing environmental monitoring at the at least one location to generate environmental data, updating the crop model with the environmental data, and using the crop model to provide predicted crop conditions. The method further includes determining environmental conditions for each of the plant breeding experiments, determining a likelihood of trait phenotype variations for each experiment using the environmental conditions and the predicted crop conditions, selecting a subset of the plant breeding experiments for collecting trait phenotype measurements based on the likelihood of trait phenotypic variation, and collecting trait phenotype measurements from the subset of the plant breeding experiments.

Abstract: A method of evaluating one or more kernels of an ear of maize using digital imagery includes acquiring a digital image of the one or more kernels of the ear of maize, processing the digital image to estimate at least one physical property of the one or more kernels of the ear of maize from the digital image, and evaluating the at least one kernel of maize using the estimate of the at least one physical property of the at least one kernel of maize.

Abstract: A method of evaluating one or more kernels of an ear of maize using digital imagery includes acquiring a digital image of the one or more kernels of the ear of maize, processing the digital image to estimate at least one physical property of the one or more kernels of the ear of maize from the digital image, and evaluating the at least one kernel of maize using the estimate of the at least one physical property of the at least one kernel of maize.

Abstract: A method of evaluating one or more kernels of an ear of maize using digital imagery includes acquiring a digital image of the one or more kernels of the ear of maize, processing the digital image to estimate at least one physical property of the one or more kernels of the ear of maize from the digital image, and evaluating the at least one kernel of maize using the estimate of the at least one physical property of the at least one kernel of maize.

Abstract: Methods for modulating plants using optimized ZmME293 down-regulation constructs are disclosed. Also disclosed are nucleotide sequences, constructs, vectors, and modified plant cells, as well as transgenic plants displaying increased seed and/or biomass yield, improved tolerance to abiotic stress such as drought or high plant density, improved nitrogen utilization efficiency, increased ear number and/or reduction in time to scenescence.

Abstract: A method of evaluating one or more kernels of an ear of maize using digital imagery includes acquiring a digital image of the one or more kernels of the ear of maize, processing the digital image to estimate at least one physical property of the one or more kernels of the ear of maize from the digital image, and evaluating the at least one kernel of maize using the estimate of the at least one physical property of the at least one kernel of maize.

Abstract: A method of evaluating one or more kernels of an ear of maize using digital imagery includes acquiring a digital image of the one or more kernels of the ear of maize, processing the digital image to estimate at least one physical property of the one or more kernels of the ear of maize from the digital image, and evaluating the at least one kernel of maize using the estimate of the at least one physical property of the at least one kernel of maize.

Abstract: A method for targeting trait phenotyping of a plant breeding experiment includes collecting soil data for at least one location, applying the soil data to a crop model, performing environmental monitoring at the at least one location to generate environmental data, updating the crop model with the environmental data, and using the crop model to provide predicted crop conditions. The method further includes determining environmental conditions for each of the plant breeding experiments, determining a likelihood of trait phenotype variations for each experiment using the environmental conditions and the predicted crop conditions, selecting a subset of the plant breeding experiments for collecting trait phenotype measurements based on the likelihood of trait phenotypic variation, and collecting trait phenotype measurements from the subset of the plant breeding experiments.

Abstract: Apparatus and systems for relatively high throughput counting of elongated strands including silks of a plant are disclosed. One apparatus or system includes segregating similar sized pieces of silks from a section of the plant's silk brush using a tool adapted to obtain uniform samples and system quantitatively counting the pieces by automation. The automated system can be a digital image of the pieces distributed across or above a surface, and image analysis to derive a count of individual pieces. An alternative automated system moves the pieces sequentially and substantially singulated past a detector.

Abstract: Methods for relatively high throughput counting of elongated strands including silks of a plant. One method includes segregating similar sized pieces of silks from a section of the plant's silk brush and quantitatively counting the pieces using an automated method. The automated method can be a digital image of the pieces distributed across or above a surface, and image analysis to derive a count of individual pieces. An alternative automated method is to move the pieces sequentially and substantially singulated past a detector.

Abstract: A method of evaluating one or more kernels of an ear of maize using digital imagery includes acquiring a digital image of the one or more kernels of the ear of maize, processing the digital image to estimate at least one physical property of the one or more kernels of the ear of maize from the digital image, and evaluating the at least one kernel of maize using the estimate of the at least one physical property of the at least one kernel of maize.