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PAG 2022

San Diego, CA, USA
January 8–12, 2022

Join Genedata experts at the PAG XXIX conference!

Recommended Poster Presentations

Facilitating Natural Product Discovery for Crop Protection
Joseph D. Shambaugh, PhD, Senior Account Manager, Genedata
Benjamin J. Adamczyk, PhD, Product Manager, Genedata
Thomas Hartsch, PhD, Bussiness Account Manager, Genedata

With the worldwide population pressure and climate changes, there is a pressing need to increase global food production. To address this, many key players across the agriscience industry are consistently searching for innovative methods to improve traits and develop next-generation crop protection and plant health agents. By enabling scientists to leverage integrated metabolomics and genomics, advanced software solutions facilitate efficient discovery and development of effective and sustainable agrichemicals. The integration of omics data with genomics accelerates lead identification for eco-friendly, biological crop protection agrichemicals.

The Genedata Selector® platform supports the entire research and development workflow for natural product screening, from data integration, normalization, and analysis to lead identification. Here we describe how the enterprise platform empowers scientists to leverage gathered data using state-of-the-art multi-omics analysis techniques and machine learning algorithms. Using the collaborative platform, scientists can benefit from efficient strain engineering and optimization coupled with quality assessment and automated, transparent reporting. Collectively, this improves process efficiency, increasing the yield and quality of natural products in this new paradigm of sustainable agriculture.

Easy Access to Phenotype-Genotype Knowledge for Accelerated Plant Breeding
Benjamin J. Adamczyk, PhD, Product Manager, Genedata
Joseph D. Shambaugh, PhD, Senior Account Manager, Genedata
Thomas Hartsch, PhD, Bussiness Account Manager, Genedata

Better plant breeding decisions are made when both genotype and phenotype information are taken into account. But getting access to the right data can be quite challenging without a robust software platform to manage the large and continuously growing datasets that are involved. For example, data can be lost or inaccessible for an analysis when working across project teams or analyzing data across multiple breeding campaigns. An enterprise software solution can provide significant benefits for standardizing data collection, streamlining processes, and facilitates greater collaboration with genotype and phenotype data. The outcome is better decision making and accelerated progress toward plant breeding goals.

Genedata Selector® is an innovative platform that streamlines the overall research and development workflow of trait and breeding programs for crop improvement. The platform provides a centralized interface allowing scientists to easily access the “single-source-of-truth” for all genomic-related information of a given investigated strain. The platform also provides efficient sample tracking to ensure all metadata is retained and accessible for integrative omics-based analyses and interpretation. Here we provide an overview of recent development efforts within the platform to accelerate trait development in plant breeding.