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The largest agrotechnology company in the EU, the Netherlands KeyGene, is a company focusing on providing genotype-phenotype analysis, trait and associated gene mining services.Since the European plant phenotype platform PhenoFab, jointly established by KeyGene and LemnaTec, Germany, was put into operation in 2011, it has quickly accumulated a large amount of genotype-phenotype measurement and analysis experience and achieved exceptional results, resulting in PhenoFab being in the long run.Full load operation status.
Based on a large number of PhenoFab usage experience and data analysis, KeyGene has developed the world's smallest portable plant phenotype platform, KeyBox.
KeyBox was launched to solve the problems encountered by PhenoFab staff in practical applications, and from the beginning, it required that it could be easy to operate without complex software learning, which was easy to master even for general staff of breeding companies.
KeyBox has been proven to be very efficient and valuable by a large number of experiments.As Martijn van Stee, a breeder of the world-renowned specialized vegetable breeding company integrating scientific research and breeding, seed production and development and sales, said, “We used KeyBox to do it all over the world.High throughput phenotypic analysis, which proves very reliable in quantifying phenotypes”.
Quick package design
Considering that KeyBox may need to be taken to greenhouses, in the field, or elsewhere for measurement, it is designed to be quickly disassembled and packed.After packing the KeyBox, it becomes a trolley case for easy transportation and carrying.
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Work status | After packing |
Main functions
Perform phenotypic imaging of the entire plant or organ (fruit, seed, root, leaves, seedlings, etc.) on the plant body
Portable and foldable design for easy use in greenhouses or outdoor use
Standard lighting environment, data can be repeated
Experienced experts designed software based on application experience, which is easy to operate and solve problems encountered in agricultural applications.
Built-in color correction and electronic tag reading program
A series of functional program modules can be selected and continuously upgraded
Application areas
Phenotype trait analysis/mining, genotype-phenotype association
Agricultural breeding
Horticulture, agricultural informatics
Fruit quality analysis
Plant pathology research
Biomass analysis
Seed germination research
Research on stress resistance
Working software Pheno-suite
KeyBox's working software Pheno-suite is developed by KeyGene's powerful bioinformatics and software team, which fully considers the needs of practical applications, is simple to operate and powerful.
The working modules of Pheno-suite include:
Basic integration module.Built into the software, it is a basic component of the software.
Optional module.It has powerful functions, and each algorithm for the application is a module, and customers can choose according to their needs.
Basic Integration Module: Color Correction
When taking pictures, put the standard color card passport (ColorChecker Passport) into the KeyBox to take images together.After taking the photo, the "Color correction" function of the Pheno-suite software can be used to restore the real color of the subject according to the standard color card.
Basic integration module: Label recognition
Pheno-suite software can assist in generating 10-digit labels and printing them out.When taking pictures, image the tag strips together.Using the "Label recognition" function of Pheno-suite software, the label bar can be automatically identified and read out.Customers can associate image files with labels to facilitate data management.
Basic integration module: Gray scale conversion
Using the "Gray scale conversion" function of Pheno-suite software, color images can be converted into grayscale images for customers to use.
Powerful module: Biomass detection
Using the "Biomass detection" function of Pheno-suite software, you can calculate the pixel size of the sample, the length and width of the sample (the length and width of the square box surrounding the sample), and the degree of deviation of the sample trait from the circle (deviation from circle).
plant pixel size
length/width bounding box
Deviation from circle
Powerful module: morphology and size measurement Tomato size
Using the "Tomato size" function of Pheno-suite software, you can calculate the pixel size of the sample, the length and width of the sample (the length and width of the square box surrounding the sample), and the ellipticity of the sample (maximum axis length, minimum axis length, orientation).
plant pixel size height/width bounding box Eli color matching (same second central moment) major Axis length minor Axis length orientation Named "Tomato size" does not mean that only tomatoes can be measured, but is suitable for all samples | ![]() |
Powerful module: Seed germination in tray
Using the "Seed germination in tray" function of Pheno-suite software, the total pixel size of the sample, the average pixel size of the sample, the standard deviation of the pixel size of the sample, etc.These can be used to determine the germination rate of seeds.
total pixel size average object pixel size St Dev object pixel size | ![]() |
Powerful module: Leaf size detection
Using the "Leaf size detection" function of Pheno-suite software, you can calculate the number of samples, as well as the total pixel size of each sample, the length and width of the sample (the length and width of the square box surrounding the sample), and the deviation of the sample trait from the circle.degree of shape, etc. # objects per object total pixel size length/width bounding box Deviation from circle | ![]() |
Practical application examples
Blade size measurement
In the figure below, the area, length, width, major axis, Minor Axis, Eccentricity and Perimeter are measured using KeyBox.).
Study on seed germination rate
In the figure below, the germination of seeds in a 104-well bud dish was measured using KeyBox, and the germination seeds and ungerminated seeds were accurately identified to calculate the germination rate.
Analysis of the properties of tomato fruits
In the figure below, the characteristics of three cherry tomato fruits were analyzed using the Keybox instrument, and a total of compactness, roundness, pixel area, major axis, and minor axis were obtained.) and other 10 parameters, analyze the various parameters of tomato fruit.
Analysis of fruit and fruit traits
Put the melon fruits in a Keybox instrument for imaging. The software can calculate the size (Pixel size), length (Length), width (Width), color (Color), cracks (Cracks), and black dots (Dark)spots) and Roundness of melon.
sizeof melon(pixels) length & width melon color Cracked Dark spots roundness | ![]() |
Analysis of corn cob traits
Put the corn cob on the Keybox instrument and analyze it after imaging to obtain the length of the corn cob, the width of the corn cob (Width cob), the color (Color) and the number of grains in the image (Kernels on cob).
length cob width cob color number of kernel sin length estimate of total kernel son co B | ![]() |
Analysis of leaf disease traits
The leaves were analyzed for the disease-induced disease, and the leaves were compared with control plants.
color leaf
quantify area yellow
quantify area Brown
compare with control plants
Analysis of olive traits in buds
Keybox instruments can image and analyze multiple Brussels sprouts at the same time, and can calculate the length, width, perimeter, degree of deviation from circle, color grading (green, brown and yellow), and calculation parameters (average area, length and widthratio, standard deviation), size classification, uniformity and shape
# objects size parameters per object: length width perimeter Deviation of circle object size (pixels) color per object: color classes (green, yellow, Brown) % green of surface (or Brown/yellow) calculated parameters: average object size (pixels) St Dev object size (pixels) ratio length/width %too small %too Brown % wrong shape Reference parameters: size classes (Oh.18-23 mom) color classes Uniformity shape classes | ![]() |
Origin: Netherlands