Discover Food Safety and Quality

Agricultural and biological research

Ag-Bio Research

Our automated solutions are designed to improve your ag-bio research workflow. Our solutions have been developed for a range of workflows and related applications including:

  • Breeding programs and seed selection research
  • Food forensic supported by NGS for GMO analysis
  • Marker assisted selection and marker assisted breeding
  • Low pass whole genomic sequencing
  • Metagenomic sequencing

By covering complete workflow-based solutions, we increase your throughput while simplifying the generation of accurate, reproducible analysis.

Soil Metagenomics

PerkinElmer and Illumina describe a streamlined, automated workflow from DNA extraction to sequence ready libraries for metagenomic shotgun sequencing resulting in high quality data for species identification and functional profiling.

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In this webinar, Charles Johnson, founder of the Texas A&M AgriLife Genomics and Bioinformatics Service, addressed the current status and future directions for massively high-throughput genomics for plant and animal breeding and research.

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Marker Assisted Breeding

Our end to end solutions allow Cannabis breeders to minimize errors, reduce hands-on time, and increase throughput and reproducibility. Flexible instrumentation modules, based on your testing and throughput requirements, can be added to meet your needs.

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Automated, Agricultural Genomics Solutions

PerkinElmer’s Applied Genomics group is eliminating the challenges associated with ag-genomic analysis by providing researchers with complete, single source systems encompassing everything from sample to solution.

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Ag-Bio Research Spotlight Solutions


Determination of Plant Growth Regulators in Bean Sprouts

Bean sprouts are commonly used ingredient in Asian cuisine and highly valued for their nutritional properties. In recent years, there have been concerns about t ...
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Customer Spotlight: Colorado State University presents "The Periodic Table of Food"

Take a look at the exciting initiative that Colorado State University is leading: The Periodic Table of Food database.
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