Agrigenomics applies sequencing and omics technologies to agricultural research, helping researchers investigate genetic variation, functional traits, population diversity and biological interactions across crops, livestock, aquaculture and agricultural environments.
In plant and animal research, genomic and transcriptomic data can support studies of breeding lines, trait-associated variants, disease resistance, stress tolerance, productivity and adaptation. In agricultural systems, microbiome and multi-omics approaches can also help researchers explore how host genetics, microbial communities and environmental conditions interact.
By combining genome-level, expression-level and community-level data, agrigenomics can support research into sustainable production, crop improvement, animal breeding, soil health, host–microbe interactions and resilience under changing environmental pressures.
Common Research Approaches
Investigate genetic variation, trait-associated regions and expression patterns across crop varieties, breeding lines and plant research samples.
Explore genetic diversity, selection markers, functional genomic features and trait-related variation in livestock or aquaculture research.
Compare populations, varieties or breeding materials to identify SNPs, haplotypes, markers and diversity patterns linked to agronomic traits.
Study soil, rhizosphere, plant-associated, rumen or animal-associated microbial communities and their roles in agricultural systems.
Novogene Europe provides access to sequencing, microbiome, transcriptomics and bioinformatics workflows that can support agricultural research across plant, animal, aquaculture and environmental sample types.
Depending on your study design, our team can help you consider suitable approaches for crop research, breeding studies, livestock genomics, aquaculture, soil microbiome analysis or agricultural multi-omics projects.
Agrigenomics applies sequencing and omics technologies to agricultural research, helping researchers investigate genetic variation, functional traits, population diversity and biological interactions across crops, livestock, aquaculture and agricultural environments.
In plant and animal research, genomic and transcriptomic data can support studies of breeding lines, trait-associated variants, disease resistance, stress tolerance, productivity and adaptation. In agricultural systems, microbiome and multi-omics approaches can also help researchers explore how host genetics, microbial communities and environmental conditions interact.
By combining genome-level, expression-level and community-level data, agrigenomics can support research into sustainable production, crop improvement, animal breeding, soil health, host–microbe interactions and resilience under changing environmental pressures.
Common Research Approaches
Investigate genetic variation, trait-associated regions and expression patterns across crop varieties, breeding lines and plant research samples.
Explore genetic diversity, selection markers, functional genomic features and trait-related variation in livestock or aquaculture research.
Compare populations, varieties or breeding materials to identify SNPs, haplotypes, markers and diversity patterns linked to agronomic traits.
Study soil, rhizosphere, plant-associated, rumen or animal-associated microbial communities and their roles in agricultural systems.
Novogene Europe provides access to sequencing, microbiome, transcriptomics and bioinformatics workflows that can support agricultural research across plant, animal, aquaculture and environmental sample types.
Depending on your study design, our team can help you consider suitable approaches for crop research, breeding studies, livestock genomics, aquaculture, soil microbiome analysis or agricultural multi-omics projects.
