High-Throughput Crop Genotyping Array Services

Streamline your molecular breeding and research programs with our high-throughput crop genotyping array services. By leveraging both ultra-reliable solid-phase microarrays and highly flexible liquid-phase targeted capture technologies, we overcome complex polyploid genomes and deliver analysis-ready data for genomic selection across diverse plant species.

Service Highlights

Dual-Platform Approach: Access proprietary solid-phase microarrays for extreme reproducibility or liquid-phase GBTS for targeted flexibility. Polyploid-Optimized: Advanced probe design and bioinformatics eliminate subgenomic noise and paralogous interference in hexaploid crops. GS-Ready Deliverables: Receive high-quality variant calls in standardized VCF/PLINK formats optimized for immediate genomic selection and GWAS.

Request a General Quote Select Your Target Crop Below

Comprehensive Genotyping for Modern Agriculture

Managing large-scale molecular breeding programs often involves navigating a fragmented landscape of genotyping technologies. A strategy that works for a high-throughput commercial diploid crop may fail completely when applied to a complex polyploid species. Managing multiple vendors for different crop lines introduces data inconsistencies, logistical bottlenecks, and bioinformatics integration issues.

We provide a unified, single-vendor solution designed to handle the full spectrum of agricultural genomics. By deploying a strategic dual-platform approach, we match the right technology to your specific biological and commercial constraints:

Strategic Technology Platforms

Proprietary Solid-Phase Arrays: Engineered for extreme reproducibility (up to 99.96%) and massive cohort throughput. Ideal for established commercial breeding cycles where maintaining multi-year data consistency is paramount for Genomic Selection (GS) models.
Liquid-Phase Targeted Capture (GBTS): A highly flexible, cost-effective sequencing-based approach. It allows for the rapid integration of novel markers and is specifically optimized to isolate true allelic variations in highly repetitive or polyploid genomes by filtering homologous sequences.

Select Your Target Crop (Categorized Portfolio)

Explore our specialized, species-specific genotyping array solutions. Each panel is meticulously designed to address the unique genomic architecture and commercial trait requirements of the target crop.

Cereals & Cash Crops

Wheat Genotyping Arrays: Overcome hexaploid complexity with highly specific targeted capture panels ranging from 5K to 800K densities.
Maize Genotyping Arrays: Choose between flexible liquid-phase captures for discovery or ultra-reliable solid-phase arrays for massive GS cohorts.
Soybean Genotyping Arrays: Map critical protein, oil, and SCN resistance traits using functional 55K GBTS or high-density 110K solid arrays.
Rice Genotyping Arrays: Utilize a pan-genome derived 47K trait gene chip to overcome ascertainment bias across indica and japonica lines.
Sorghum Genotyping Arrays: Capture the extreme phenotypic diversity of Sorghum bicolor with our pan-genome derived 20K panel.
Oat Genotyping Arrays: Filter out homologous interference in the repetitive hexaploid oat genome to map traits like beta-glucan and crown rust resistance.
Cotton Genotyping Arrays: Differentiate At/Dt subgenomes perfectly with our ultra-high-density 120K GBTS target capture array.

Vegetables & Horticulture

Tomato Genotyping Arrays: Implement early seedling-stage selection for flavor (Brix) and disease resistance with optimized 5K to 20K tiers.
Pepper Genotyping Arrays: Accelerate Capsicum breeding with flexible 5K, 10K, and 50K targeted panels designed to navigate highly repetitive regions.
Brassica Genotyping Arrays: Resolve subgenomic redundancy in triplicated Brassica genomes using advanced paralog-filtering capture technology.

Overcoming Complex Plant Genomes: Polyploids & Ascertainment Bias

Solving Paralogous Interference in Polyploids

Crops like wheat, oat, and cotton contain multiple, highly homologous subgenomes. Traditional solid arrays often struggle with cross-hybridization, where a probe intended for the A subgenome erroneously binds to the B or D subgenome, resulting in noisy, ambiguous data. Our Liquid-Phase GBTS approach utilizes thermodynamically optimized, sequence-specific probes that perfectly differentiate these subgenomes, physically isolating the target loci before sequencing to ensure diploid-like SNP calling clarity.

Eliminating Ascertainment Bias with Pan-Genome Designs

Ascertainment bias occurs when a genotyping array is designed using a narrow reference genome, causing it to fail when applied to diverse landraces or wild introgressions. By utilizing modern pan-genome databases that incorporate structural variations and core polymorphic sites (CPS) from highly divergent subspecies, our arrays maintain high marker polymorphism and prevent genomic "blind spots" during diversity mapping.

Standardized Workflow for Agricultural Samples

High-quality genotyping relies on strict batch consistency. Plant tissues—often rich in complex polysaccharides, polyphenols, and secondary metabolites—require specialized handling. We employ rigorous internal quality control (QC) checkpoints throughout the sample-to-data workflow.

5-step horizontal scientific flowchart showing plant sample intake, specific DNA extraction, liquid/solid array processing, high-throughput sequencing, and bioinformatics.

1. Sample Intake & Registration: Secure accessioning and barcoding of diverse biological materials (seeds, leaf tissue, gDNA).
2. Specialized DNA Extraction: Utilization of optimized, proprietary buffer systems to strip away tannins, polyphenols, and polysaccharides. QC Checkpoint: OD 260/280 and 260/230 purity assessment and fluorometric quantification (Qubit).
3. Library Preparation & Array Processing: Samples are routed to either automated micro-bead array scanning or liquid-phase target capture hybridization based on project design. QC Checkpoint: Fragment size distribution and signal intensity metrics.
4. High-Throughput Detection: Acquisition of raw intensity data or deep sequencing reads using automated scanners and high-throughput NGS platforms. QC Checkpoint: Raw data filtering to remove adapters and low-quality sequences.
5. Bioinformatics & Genotype Calling: Translating raw data into discrete, high-confidence diploid allele calls using specialized algorithms. QC Checkpoint: Evaluation of mean call rates (>95%), MAF distribution, and missingness metrics.

Universal Bioinformatics for GS and GWAS

Transforming thousands of markers across large breeding cohorts into actionable insights requires robust computational infrastructure. We deliver standardized, analysis-ready data formats tailored for molecular breeders and computational biologists.

Minimum Standard Deliverables

Genotype Matrix: High-confidence allele calls delivered in standard VCF, PLINK, or HapMap formats.
QC Reports: Detailed metrics on sample-level call rates, MAF, missingness, and marker performance.
Diversity Summaries: Basic genetics evaluation, including Principal Component Analysis (PCA) and kinship/relationship matrices.

Optional Advanced Add-Ons

Cross-Environment GWAS Mapping: Advanced linear mixed models (MLM, FarmCPU) to output high-resolution Manhattan and Q-Q plots for QTL identification.
Genomic Selection (GS) Predictive Modeling: End-to-end support for model training (e.g., rrBLUP, Bayesian) to calculate Genomic Estimated Breeding Values (GEBVs).

Demo Results: Proven Cross-Species Data Quality

Our platforms are validated across a multitude of plant species, consistently delivering data that translates genetic variants into clear visual interpretations.

Result 1: Polyploid Allele Clustering. Visualized via 2D scatter plots, our data demonstrates the clear segregation of clusters (AA, AB, BB) in complex hexaploid subgenomes, proving the effectiveness of specialized probes in eliminating background noise.

Result 2: Cross-Species Population Structure. Visualized via 3D PCA and Admixture plots, our marker coverage provides precise resolution of genetic distances and population stratification across diverse accessions.

Result 3: GWAS Marker-Trait Association. Visualized via publication-ready Manhattan plots, our high-density arrays enable high-resolution identification of significant QTLs for actionable breeding.

Custom Genotyping Arrays for Orphan Crops

If your research focuses on an orphan crop or specific regional landrace not listed in our standard portfolio (e.g., potato, barley, peanut, or specialized forestry species), we provide comprehensive Custom Genotyping Array services. Leveraging public pan-genome data, transcriptome sequences, or your proprietary variant lists, we can rapidly design and validate highly specific liquid-phase capture panels tailored entirely to your unique agricultural project.

Solid Array vs. Liquid Target Capture vs. WGS

Selecting the right genotyping technology is crucial for optimizing both operational budgets and analytical success.

Dimension	Proprietary Solid Arrays	Liquid-Phase Capture (GBTS)	Whole Genome Sequencing (WGS)
Ideal Cohort Size	Massive commercial populations (Thousands)	Medium to large populations (Hundreds to Thousands)	Small discovery panels
Polyploid Performance	Moderate (requires extensive redundancy)	Excellent (isolates target loci precisely)	Excellent (but requires expensive deep coverage)
Customization Flexibility	Low (fixed physical design)	High (probes easily added/removed)	N/A (sequences everything)
Per-Sample Cost at Scale	Highly Cost-Effective	Highly Cost-Effective	Cost-Prohibitive

Selection Strategy:

Opt for Liquid-Phase Capture (GBTS) for flexible, highly specific targeted sequencing that eliminates subgenome noise in complex polyploids (Wheat, Oat, Cotton) and enables cost-effective GWAS and variety identification.
Choose Proprietary Solid-Phase Arrays when extreme reproducibility (>99.9%) is mandated for established, massive-scale commercial Genomic Selection (GS) programs and multi-year data integration in diploid crops (Maize, Soybean).
Reserve WGS strictly for de novo variant discovery, pan-genome construction, or generating high-quality reference assemblies for completely uncharacterized wild species.

General Sample Submission Guidelines

Proper sample preparation ensures the highest genotyping call rates. Please refer to the specific crop subpages for critical, species-specific extraction constraints (e.g., strict polysaccharide removal for oat, or polyphenol management in cotton).

Sample Type	General Minimum Requirements	Extraction Pre-requisites	Shipping	Notes
Purified gDNA	Conc. ≥ 20 ng/μL, Total ≥ 1.0 μg	RNase-treated, free of polysaccharides/tannins	Dry ice or cold packs	OD 260/280: 1.8–2.0. No severe degradation.
Plant Tissue (Leaves)	100–200 mg	Flash-frozen or lyophilized	Dry ice	Lyophilized young tissue is strongly preferred to limit secondary metabolites.
Seeds	5–50 viable seeds	Intact and dry	Room temperature	Ensure seeds are fully dry and free from fungal contamination.

Case Study: Genomic Prediction Accuracy in Commercial Hybrid Pools

Citation

Schruff et al. (2023). Accurate prediction of quantitative traits with failed SNP calls in canola and maize. Frontiers in Plant Science. DOI: 10.3389/fpls.2023.1221750.

Background: In modern plant breeding, the primary goal of high-throughput genotyping is to enable high-accuracy Genomic Selection (GS) to accelerate genetic gain. Researchers needed to validate the stability and predictive power of SNP genotyping data in both diploid (Maize) and complex allotetraploid (Canola) populations.

Methods: High-density SNP arrays were deployed to genotype large diversity panels. The study integrated the genotypic data with phenotypic traits (e.g., seed yield and dry matter yield) using multiple statistical models, including GBLUP and Bayesian Lasso, to evaluate prediction accuracy ($r$).

Results: As demonstrated in Figure 3 of the published research (featuring comprehensive bar charts for prediction accuracy in Canola and Maize), the high-throughput SNP data consistently yielded robust predictive power. Even across different heterotic pools (Dent and Flint) and varying environmental factors, the genotyping platform facilitated accurate breeding value estimations, proving its reliability for large-scale selection.

Prediction accuracy (r) of genomic selection in canola and maize based on high-density SNP genotyping data.

Figure 3: Prediction accuracy across multiple GS models for canola and maize pools, demonstrating the robustness of high-throughput genotyping data.

Conclusion: Utilizing high-quality, high-density SNP array data is the gold standard for accelerating breeding cycles. The precision of the 10K-110K markers directly ensures the success of genomic selection models, reducing field evaluation costs for both commercial and academic programs.

Frequently Asked Questions (FAQ)

1) Can I use a single vendor for both my wheat and tomato breeding programs? ▼

Yes. By offering a comprehensive portfolio that includes both polyploid-optimized liquid-phase target capture (for crops like wheat and oat) and high-throughput GS-optimized panels (for crops like tomato and maize), we serve as a unified, end-to-end genomics provider for your entire R&D pipeline.

2) How do you manage high polysaccharide levels common in plant tissues? ▼

Plant tissues often contain complex polysaccharides and secondary metabolites that inhibit enzymatic reactions during library preparation. Our internal laboratory utilizes specialized, crop-specific extraction buffer systems designed to strip away these contaminants, ensuring pristine genomic DNA recovery prior to array hybridization or sequencing.

3) What is the difference between solid microarrays and liquid target capture? ▼

Solid microarrays rely on probes physically fixed to a glass slide and are exceptional for generating highly reproducible data across massive commercial cohorts. Liquid target capture (GBTS) uses biotinylated probes suspended in a solution to hybridize and "pull down" target regions before sequencing. This liquid approach is highly flexible, cost-effective to update, and superior at avoiding homologous subgenome interference in polyploid plants.

4) Can you develop a custom array for a crop not listed on this page? ▼

Absolutely. If your target species is an orphan crop or a specialized horticultural plant not included in our standard catalog, our bioinformatics team can design a custom liquid-phase capture panel based on available pan-genome data, transcriptome assemblies, or your proprietary sequence targets.

Consult an Agrigenomics Expert

Contact us today to discuss your multi-crop genotyping project or to request a customized quote for Genomic Selection support.

Request a General Quote Review Submission Guidelines

References

Schruff et al. Accurate prediction of quantitative traits with failed SNP calls in canola and maize. Frontiers in Plant Science (2023). DOI: 10.3389/fpls.2023.1221750.
Gao, L., et al. Genome-wide association study reveals the genetic basis of yield- and quality-related traits in wheat. BMC Plant Biology (2021). DOI: 10.1186/s12870-021-02925-7.
Fang, C., et al. Genome-wide association studies dissect the genetic networks underlying agronomical traits in soybean. Genome Biology (2017). DOI: 10.1186/s13059-017-1289-9.
Asekova, S., et al. Genetic diversity, population structure, and a genome-wide association study of sorghum lines assembled for breeding in Uganda. Frontiers in Plant Science (2024). DOI: 10.3389/fpls.2024.1458179.

For research purposes only, not intended for clinical diagnosis, treatment, or individual health assessments.

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