107 results about "Plant traits" patented technology

Methods and systems are provided for generating and utilizing a genetically engineered bacterium comprising a modification in glnD, wherein said modification is selected from the group consisting of: deletion of the entire gene, deletion of substantially the entire gene, deletion of an ACT domain, deletion of more than 50% of an ACT domain, deactivation of an ACT domain, and deactivation of an UTase domain.

Provided are a gene KWE2 for regulating corn car grain weight and yield, a protein encoding same, and an expression vector thereof. Further provided are an InDel1 marker of the gene KWE2 for regulating corn car grain weight and yield, and the use thereof in plant trait improvement.

The present invention provides a comprehensive evaluation method for quality traits of breeding plants, which relates to the technical field of quality trait evaluation, including: obtaining plant growth information of target breeding plants, including a multi-dimensional growth parameter set of multiple growth cycles; performing feature classification and labeling to obtain plant growth feature parameters; constructing a quality trait comprehensive evaluation model library; matching and calling a target comprehensive evaluation model; performing real-time monitoring of the physiological state of target breeding plants to obtain real-time monitoring data of the physiological state; performing comprehensive evaluation to obtain a comprehensive evaluation result of the quality traits of target breeding plants. The present invention solves the technical problems that traditional evaluation methods usually focus on a single growth characteristic of plants, ignore the complex relationship between different plant traits, and that existing evaluation models are difficult to cover plants of different varieties, resulting in poor comprehensiveness and universality of the evaluation.

The present disclosure provides compositions, kits, and systems comprising engineered bacteria and agricultural biologics, and methods of using the same to treat plants and improve one or more plant beneficial traits, such as plant yield, nutrient uptake, and resistance to abiotic or biological stress. Using the compositions, kits, and systems disclosed herein can further 5 reduce fertilizer usage. The present disclosure also proposes methods of treating plants using the engineered bacteria with agricultural biologics.

The invention discloses a soybean bidirectional promoter and application thereof, and belongs to the technical field of separation and application of bidirectional promoters. The nucleotide sequence of the soybean bidirectional promoter disclosed by the invention is as shown in SEQ ID NO. 2. Experiments prove that the soybean bidirectional promoter can bidirectionally and simultaneously drive the expression of a target gene, and by applying the soybean bidirectional promoter, plant traits can be improved, transgenic plants or new plant varieties can be cultivated, and the biological breeding process can be promoted.

Disclosed herein are methods of increasing nitrogen fixation in a non-leguminous plant. The methods can comprise exposing the plant to a plurality of bacteria. Each member of the plurality comprises one or more genetic variations introduced into one or more genes or non-coding polynucleotides of the bacteria's nitrogen fixation or assimilation genetic regulatory network, such that the bacteria are capable of fixing atmospheric nitrogen in the presence of exogenous nitrogen. The bacteria are not intergeneric microorganisms. Additionally, the bacteria, in planta, produce 1% or more of the fixed nitrogen in the plant.

A computer-based method for training and subsequently applying a machine-learning (ML) model to accelerate development of improved plant-based products comprising: (a) collecting into a database seed data including at least parentage information with genetics; (b) training a first ML model based on seed data collected for each data type for each seed variety; (c) establishing a functional specification for the plant-based product; (d) extracting plant traits needed to meet the functional specification; (e) inputting those plant traits into the trained first ML model to generate a predictive breeding crosses list ranked on probability that a progeny of a cross will substantially conform to one or more of those plant traits; (f) collecting data from the progeny planted based on the crosses list; and (g) comparing the collected progeny data to corresponding predictions made by the first ML model toward determining next action recommended by the first ML model.

The invention provides a plant phenotype multi-precision information joint prediction method, and relates to the technical field of plant phenotype prediction, and the method comprises the steps: data acquisition and preprocessing; constructing and training a model; through interpretability analysis, the method can be applied to different species and various plant traits and can be expanded to other biological fields; new omics data and analysis functions can be flexibly supplemented, and the future requirements of large-scale multi-omics research are met; compared with a traditional linear or general machine learning method, the deep learning model is better in performance in a complex gene interaction scene, and stable prediction performance is kept.

The invention discloses a molecular marker closely linked with peanut yield related traits and application, and belongs to the technical field of plant molecular genetics and molecular breeding. The molecular marker disclosed by the invention is Arahy0036; the nucleotide sequence of Arahy0036 in peanuts with low single plant yield is shown as SEQ ID NO: 1, and the nucleotide sequence of Arahy0036 in peanuts with high single plant yield is shown as SEQ ID NO: 2. The marker is used for detecting the gene locus related to the yield character of the peanut single plant, the single plant with high yield can be identified after seeds are harvested, other single plants are selected, reserved and eliminated, the breeding scale can be effectively controlled, and the progress and efficiency of variety selection breeding are improved.

The application provides application of a TT2-SCT1 / SCT2-WR2 regulation channel in plant heat stress tolerance. The application first discloses a new signal channel involved in plant heat tolerance: a TT2-SCT1 / SCT2-WR2 signal channel; wherein, TT2 is a negative regulation factor for regulating the heat tolerance of plants or protecting (maintaining) the yield of plants in Gramineae under high temperature, SCT1 / SCT2 are also negative regulation factors for regulating the heat tolerance of plants or protecting (maintaining) the yield of plants in Gramineae under high temperature, and WR2 is a positive regulation factor for playing a role, which is beneficial to maintaining the homeostasis in plants. The application has important theoretical significance for genetic improvement of plant traits.

The present invention improves the efficiency of substance introduction when a particle bombardment method is used to introduce, into a plant-derived tissue, at least one substance selected from nucleic acids and proteins for modifying a trait. A method for modifying a plant trait according to the present disclosure comprises: a step for washing a plant-derived tissue with water; a step for introducing, by using a particle bombardment method, particles retaining at least one substance selected from nucleic acids and proteins into the tissue washed with water; a step for obtaining plant bodies by growing the tissue into which the particles have been introduced; and a step for selecting a plant body of which the trait has been modified from the obtained plant bodies.

The present invention belongs to the field of plant genetic engineering. Specifically, the present invention provides a nucleic acid construct. The present invention adopts a nucleic acid construct with a specific structure to improve plant traits and enhance plant heat resistance, and has broad application prospects.

The disclosure relates to genetically modified microorganisms of the genus Bacillus, for the improvement of phenotypes of plants, for example nitrogen availability for non-leguminous plants. Included are novel strains of the microorganisms, microbial consortia, and agricultural compositions comprising the same. Furthermore, the disclosure teaches methods of utilizing the described microorganisms, microbial consortia, and agricultural compositions comprising the same, in methods for imparting beneficial properties to target plant species. In particular aspects, the disclosure provides methods of increasing desirable plant traits in agronomically important species, for example nitrogen fixation, utilization, regulation, uptake, acquisition, tolerance, and / or processing in plants.

Described herein are methods and compositions for improving plant growth and other characteristics. The methods and compositions utilize bacteria and bacterial secretions incorporated into plant seeds to improve plant growth and other characteristics.

The present disclosure provides a method for evaluating a seedling plant character of a transgenic poplar and use of an overexpressed pagEXPA1 gene in promoting xylem development of the poplar, relating to the technical field of forest wood character determination. The method for evaluating the seedling plant character of the transgenic poplar in the present disclosure includes the following steps: S1. detecting whether or not a foreign gene is integrated into a poplar genome through PCR; S2. detecting the expression level of the foreign gene in the poplar; S3. conducting a microstructural analysis on stem vascular tissues of the transgenic poplar; and S4. separating fibers, ducts, and sieve-tube cells through fiber isolation, and staining the isolated fibers to observe the morphology and structure of the fibers, ducts, and sieve-tube cells.

The disclosure relates to isolated microorganisms—including novel strains of the microorganisms, microbial consortia, and agricultural compositions comprising the same. Furthermore, the disclosure teaches methods of utilizing the described microorganisms, microbial consortia, and agricultural compositions comprising the same, in methods for imparting beneficial properties to target plant species. In particular aspects, the disclosure provides methods of increasing desirable plant traits in agronomically important crop species.

The present disclosure relates to isolated microorganisms, novel strains including microorganisms, microbial consortia, and agricultural compositions comprising the same. In addition, the present disclosure teaches methods of utilizing the microorganisms, microbial consortia, and agricultural compositions comprising the same in methods of conferring beneficial properties to target plant species. In particular aspects, the disclosure provides methods of enhancing desired plant traits in agronomically important crop species.

The present application relates to the technical field of ecological restoration, and discloses a shallow lake submerged plant community configuration method and device, the method comprising: establishing a submerged plant grading screening model; wherein the submerged plant grading screening model comprises habitat condition grading, substrate condition grading and water quality grading; screening a plurality of species of submerged plants using the submerged plant grading screening model to determine the species of the screened submerged plants; obtaining submerged plant trait parameters for the plurality of species, and calculating a comprehensive tolerance index for each species of submerged plant based on the submerged plant trait parameters for the plurality of species; determining a species priority based on the comprehensive tolerance index for each species of submerged plant; and configuring a shallow lake submerged plant community based on the species of the screened submerged plants, the species priority and engineering parameters. The present application comprehensively considers ecosystem resilience and species diversity, ensures functional complementary configuration of species, and guarantees long-term stability of submerged plant community configuration in water ecological restoration.

Circular nucleic acid constructs of less than 1000 nucleotides are disclosed for manipulating plant traits. At least a portion of the constructs are single stranded.

The application discloses a new gene TaGW1-5B for regulating wheat kernel weight and application thereof. The application provides application of TaGW1-5B protein or TaGW1-5B gene in regulating plant traits; the plant traits are plant kernel traits and / or plant root traits; the kernel traits are kernel weight and / or kernel length; the root traits are root length and / or root surface area. The regulation is negative regulation. The application also provides application of a substance for inhibiting TaGW1-5B gene in cultivating plants with changed kernel traits and / or changed root traits; the changed kernel traits are increased kernel weight and / or increased kernel length; the changed root traits are increased root length and / or increased root surface area. The application can be used for creating new wheat germplasm with higher unit yield, and has important theoretical significance and application value for improving kernel weight.

The invention belongs to the technical field of plant genetic engineering, and particularly relates to application of an LsSLR1 gene or a related biological material containing the LsSLR1 gene in plant character improvement. The invention discloses a nucleotide sequence of an LsSLR1 gene as shown in SEQ ID NO.3. A recombinant expression vector pCAMBIA1300-GFP-LsSLR1 is constructed, the recombinant expression vector is introduced into a model plant arabidopsis thaliana, and a transgenic arabidopsis thaliana plant over-expressing the LsSLR1 is obtained. Experiments find that overexpression of the LsSLR1 gene can promote development of lateral roots of plants, dwarf the plants, shorten the growth cycle of the plants and improve stress resistance of the plants to salt stress, drought stress or abscisic acid stress, and genetic improvement can be performed on plant traits by using the LsSLR1 gene.

This invention relates to the field of soybean plant information analysis technology, and particularly to a method for analyzing the traits of the whole soybean plant based on three-dimensional point clouds. The method includes: employing a joint annotation method for soybean pod states based on three-dimensional point clouds to collect, annotate, and standardize the three-dimensional point clouds; constructing an improved SoftGroup multi-task learning model, where each module works collaboratively according to a preset logic, taking the three-dimensional point cloud of a single soybean plant as input, and outputting the target task results through point cloud feature extraction and instance clustering; performing multi-task joint training on the improved SoftGroup multi-task learning model, inputting the preprocessed three-dimensional point cloud of the soybean plant to be tested into the trained model, performing multi-task inference, refining geometric parameters through PCA, and counting the number of pods; removing the pod point cloud from the three-dimensional point cloud of a single soybean plant to obtain the main point cloud of the plant; extracting the plant skeleton from the main point cloud of the plant and obtaining the trait data of the plant skeleton.

Disclosed herein are methods of improving agronomic traits in crop plants through editing sequences within the 5′ untranslated region (UTR) of plant genomes.

This disclosure relates to compositions and methods of producing compositions for improving plant traits. This disclosure provides methods of identifying native endophytes, genetically engineering said endophytes, and recolonizing plant(s) which the endophytes were isolated from. Further, this disclosure provides compositions made by the methods disclosed herein and using the same.

The application provides application of RanGAP in regulation of symbiotic nodulation. A novel functional gene RanGAP (including RanGAP1 or RanGAP2) is disclosed, which encodes RanGAP protein with important biological function, and the protein is involved in symbiotic nitrogen fixation process of leguminous plants and rhizobium, and the application has significant meaning in genetic improvement of plant traits and soil improvement. An isolated promoter from RanGAP genome (upstream) is also disclosed, which has the function of driving gene-specific expression; more particularly, the promoter drives specific expression of the gene in root vascular bundle, lateral root / nodule primordium.

The present disclosure relates to genetically modified microorganisms for improving the phenotype of a plant, such as the nitrogen effectiveness of a leguminous plant. The present disclosure includes novel strains of microbial bodies, microbial consortia, and agricultural compositions comprising the same. In addition, the present disclosure teaches methods of utilizing the microorganisms, microbial consortia, and agricultural compositions comprising the same in methods of conferring beneficial properties to target plant species. In particular aspects, the disclosure provides methods of enhancing desired plant traits in agronomically important species, such as fixation, utilization, regulation, absorption, acquisition, tolerance and / or processing of nitrogen in plants.

The present invention discloses a method for screening for and identifying a desirable plant improving trait, said method comprises steps of: (a) obtaining genetic material from a sampling of a predefined source and (b) constructing an expression library from said genetic material. The aforementioned method further comprises steps of: (c) producing plants transformed with said expression library at a transformation efficiency of at least 0.05%-30%, representing at least 102-1010 trangenes; (d) screening for transformed plants expressing said desirable trait; and (e) identifying said transgene of said transformed plants expressing said desirable trait.

The invention provides a plant character nondestructive monitoring method and device based on deep learning. The problem that an existing plant character monitoring method is low in generalization and does not have universality is effectively solved. The method comprises the following steps: carrying out spectral measurement on a plurality of plant data sets with plant species in a target spectral range, and obtaining various plant character parameters in a measurement process through a spectral radiometer to generate a plurality of groups of spectral data; extracting a plurality of groups of label pairs from reflection simulation spectrums and transmission simulation spectrums generated based on the plurality of groups of spectral data and the plurality of plant character parameters, and encoding the plurality of groups of label pairs to obtain a plurality of spectral features; and controlling the character prediction model to process the spectral feature map to obtain plant character data so as to complete nondestructive monitoring of plant characters in different ecological systems based on the plant character data.

Microbial compositions for application to plants, plant parts and plant seeds are provided for improvement of plant disease resistance and / or other beneficial plant traits, particularly resistance or tolerance to soybean sudden death syndrome (SDS) caused by a Fusarium species and / or disease caused by a Pythium species. Methods of making and applying microbial compositions or formulations to plants, plant parts or plant seeds or to growth media are further provided to increase or improve plant disease resistance and / or other beneficial plant traits.