High-throughput genotyping technology is essential for identifying and developing superior watermelon varieties. Our Genotyping by Target Sequencing (GBTS) technology combines the advantages of array-based methods and high-throughput sequencing, offering unique benefits in customization, throughput, and cost-effectiveness.
Utilizing this advanced GBTS technology, we have developed a comprehensive range of ready-to-use watermelon panels with varying marker densities. These panels are designed to accommodate a diverse array of sample types, including plant tissues and seeds.
In addition to our extensive portfolio of genotyping products, we offer bespoke services tailored to your specific needs. By submitting your SNP list, we can swiftly design cost-effective liquid-phase panels, ranging from low to high density, that align with your research or breeding objectives.
Elevate your breeding programs with our innovative watermelon panels, designed to support your pursuit of excellence in watermelon variety development.
Genotyping by Targeted Sequencing (GBTS) Panels - Ready to use*
*Reference Genome: Citrullus_lanatus_97103v2
- Product Highlight
Enriched polymorphism selection and a broad spectrum of variation
Our panels provide comprehensive coverage of diverse genetic variations across germplasm resources.
Various density designed for different applications
Our ready-to-use GBTS panels are designed with various, flexibly adjustable marker densities, from high to low, to cater to your diverse application scenarios, truly optimizing time and cost. We offer flexible marker number adjustment and upgrade services, ensuring your research remains at the forefront.
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- Report Visualization
GenoBaits® Watermelon 2K Panel
The 2K marker panel includes 2,740 background markers and 19 SSR (Simple Sequence Repeat) sites based on industry standards, with 59.82% located in exonic regions. It covers 14 functional traits, including disease resistance, fruit shape, color, and taste. This panel offers high throughput, low cost, and excellent data accuracy and reproducibility, making it ideal for scientific research and breeding applications in watermelon.
