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PhenoGA Plant Phenotyping Analyzer for Plant growth research

Product ID:SHZWqtzwyq006

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Supply Ability:50 SETS/MON
Port:SHENZHEN
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  • Product Introduction
  • Consulting
  • Model NumberPhenoGA
    Brand NameHANGZHOUWANSHEN
    Payment TermsT/T, paypal
    PhenoGA Plant Phenotyping Analyzer
     
    Introduction:
    Genotype, phenotype and environment are the iron triangle of genetic research. Phenotype (traits) is the result of the joint effect of genotype and environment, and there are multiple relationships between genotype and phenotype. It has become common for researchers to use sequencing and genome resequencing to assess quantitative traits such as allele differential mapping, but it requires a large amount of trait data to support it. However, the results of this type of analysis and measurement are greatly interfered by personnel, tools, and the environment, and can damage plants. Therefore, there is an urgent need for an efficient and accurate Wanshen PhenoGA plant phenotyping measuring instrument to do visual accurate data analysis and phenotypic testing, such as testing the phenotypic response to stress and environmental factors, ecotoxicology testing or germination testing, genetic breeding Research, mutant screening, plant morphology modeling, growth research, etc.
    Performance:
    1. Wanshen PhenoGA Plant Phenotyping Analyzer is a top-view + side-view version, which uses a top-view + side-view super-large zoom lens to automatically focus a 24.2 megapixel Canon EOS SLR camera directly connected to a computer to obtain plant top-view and side-view. RGB color map, and automatic analysis; the top active infrared light binocular 3D camera (point cloud density 512*424 pixels) to obtain the 3D depth of field pseudo-color map of the plant canopy and the 3D reconstruction pseudo-color map with switchable viewing angle .
    2. The available phenotypic data of plants at different growth stages mainly include: plant height (measurement error ≤±2mm), projected leaf area and its difference value, projected leaf length and curling degree, leaf number (automatic counting + mouse individual correction) ), leaf canopy configuration data (leaf canopy diameter, leaf canopy area, leaf canopy duty ratio, leaf distribution compactness, etc., measurement error of canopy size ≤±2mm), plant shape, precise stem Leaf included angle (repetitive measurement error of true included angle≤±1.0°), internode length and estimated value of cylindrical projection volume, relative growth rate of plant height and leaf canopy over time, average leaf color (with leaf color The automatic correction feature can be used for automatic color comparison according to the 2015 version of the Royal Garden Society RHS color chart) and evaluation of its contribution to the characterization. The analytical characteristics are as follows:
    1) Routine analysis: projected leaf area and its dynamic changes, outer circumference, diameter and area of ​​circumscribed circle, main and minor axis and deflection angle of fitting ellipse, inner diameter, area and perimeter of convex hull, plant height and width, minimum circumscribed rectangle length , Wide, plant compactness.
    2) Color analysis: RGB, LAB color values, with the feature of automatic correction of leaf color, it can be automatically compared according to the 2015 version of the Royal Garden Association RHS Color Chart. Clustering can be performed according to the specified number of colors, and the color distribution and area proportions can be counted.
    3) Skeleton analysis: the length of the skeleton, the number of end points (the number of leaves), the number of branches (the number of branches, the number of nodes), the angle between stems and leaves, etc.
    4) Corn plant shape analysis: the number of leaves, the length and width of the leaves, the curvature of the leaves, the projected area of ​​the leaves, the number of stalk sections, the length and thickness of the sections, the color of the leaves, etc.
    5) Growth analysis: absolute plant growth, relative growth curve, relative growth trend.
    6) Root system analysis: root length, root thickness, number of root tips, etc. (requires root thickness> 1mm).
    7) Seed analysis: seed number, seed area, seed length and width (seed diameter> 2mm, non-adhesion), analysis of seed morphology, fruit appearance quality, flower shape and flower color.
    8) Others: automatic batch processing and analysis of different growth periods, multi-plant grid analysis, geometric measurement of straight lines, angles, etc., and each measurement result can be edited and corrected.
    3. It can be connected to a barcode gun to automatically write in the sample number, and it has the characteristics of tracking and analyzing according to the barcode identification. Image analysis method and time-consuming: automatic analysis (about 1 sample/minute) + mouse pointer measurement or correction. The plant height of the standard imaging analysis can reach 150cm, and the measurable maximum leaf crown width is 115cm*115cm (the outer size of the shooting box is 200cm high*120cm long*120cm wide). Various analysis data and marked pictures can be exported.
  • Introduction:
    Genotype, phenotype and environment are the iron triangle of genetic research. Phenotype (traits) is the result of the joint effect of genotype and environment, and there are multiple relationships between genotype and phenotype. It has become common for researchers to use sequencing and genome resequencing to assess quantitative traits such as allele differential mapping, but it requires a large amount of trait data to support it. However, the results of this type of analysis and measurement are greatly interfered by personnel, tools, and the environment, and can damage plants. Therefore, there is an urgent need for an efficient and accurate Wanshen PhenoGA plant phenotyping measuring instrument to do visual accurate data analysis and phenotypic testing, such as testing the phenotypic response to stress and environmental factors, ecotoxicology testing or germination testing, genetic breeding Research, mutant screening, plant morphology modeling, growth research, etc. 
     
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