Faster paths to better crops.
Accelerate your breeding TODAY with DNAHP’s AI-guided breeding tools.
What we do
At DNA Harvest Partners, we provide one of the industry's most advanced AI-guided predictive breeding platforms to reduce variety development timelines and development costs while increasing annual genetic gain.
Our platform combines genomic data, phenotypes, and environment information with multi-model AI to guide decisions from early germplasm understanding through cross design, line advancement, and variety placement.
Historically, this level of predictive breeding capability has been available only to large multinational ag companies; DNAHP makes it accessible to regional and emerging-market seed companies.
Why it matters
Faster innovation
Use data-driven selection and simulation to move promising lines through the pipeline earlier and release varieties faster.
Stronger genetics
Discover and combine favorable alleles and haplotypes for key traits, improving yield, quality, and stability across environments.
Access for all breeders
Bring enterprise-grade predictive breeding and GE optimization to small and midsize seed companies without requiring in-house AI teams.
DNAHP’s SmartCross breeding platform.
The DNAHP breeding platform integrates descriptive, discovery, predictive, and prescriptive breeding workflows into one continuous system. We assist you, from understanding your germplasm to designing specific crosses and advancement decisions.
Our goal is simple: to meet your program where it is and accelerate product development.
Descriptive Breeding
Understanding your germplasm’s structure, quality, and potential before making breeding decisions.
Discovery Breeding
Identify the genetic architecture underlying your most valuable traits to guide strategic breeding plans.
Predictive Breeding
Forecast offspring performance before planting, enabling earlier and more confident selection decisions across breeding cycles.
Prescriptive Breeding
Optimize crossing and selection strategies, receive crossing recommendations and progeny advancement for maximum impact.
Gene Editing Optimization: make every edit count.
GEO is our framework that optimizes the genetic background around your edited locus. GEO uses AI-guided haplotype analysis to identify modifier alleles and genetic contexts that drive full trait expression for an edited gene.
Traditional GE testing is not optimal
Edited genes (or genetic variants) act in concert with many genes in a network to express a phenotype, making trait performance highly dependent on genetic background.
Because modifier genes and gene–gene interactions are not considered, this single-background approach has a very low probability of success and often misses edits that would have performed strongly in the right genetic context.
Evaluating edits in a single background risks false-negative outcomes which results in poor decisions for your edited genes.
DNAHP has the solution
GEO redesigns the gene edit testing process gathering modifier alleles across germplasm rather than a single genetic background.
We integrate modifier gene discovery, molecular marker development, and predictive breeding to optimize the genetic background in which gene-edited traits are evaluated.
By accumulating favorable modifier alleles prior to phenotypic testing, GEO increases trait penetrance, robustness, and decision-making confidence.
