Soil-microbiome management services

01Overview and value chain

Markers: [EC: EU Soil Monitoring Law & Farm to Fork | OECD: Agricultural Biotechnology | Regulator: EPA (USA), EFSA (EU), MoA (China)]

Soil-microbiome management services diagnose and actively steer the bacteria, fungi, archaea and nematodes living in agricultural soil — the community that drives nutrient cycling, soil-borne disease suppression and fertilizer efficiency. Soil hosts roughly 59% of life on Earth, and modern high-throughput DNA metabarcoding detects 27.5–32.5% more nematode genera than morphology-based identification (40–43 versus 29 in mandarin and pomegranate orchards), making the living soil measurable at scale. Biome Makers’ BeCrop 4.0 engine assigns DNA across more than 44,550 fungal species against a benchmark database of over 5,000 soil samples from 20 countries, while Trace Genomics’ sequencing covers 70 crops and 225+ soilborne pathogens. The category spans DNA diagnostics, AI disease-risk prediction, field-deployable microbial-biomass tests and microbial amendment prescription.

The key directions of soil-microbiome management services are:

1. DNA-based soil microbiome diagnostics (DNA-Based Soil Microbiome Diagnostics): high-throughput sequencing and metabarcoding that profile soil bacteria, fungi, archaea and pathogens — Trace Genomics’ TraceCOMPLETE and Biome Makers’ BeCrop.
2. AI disease-risk and soil-health modeling (AI Disease-Risk & Soil-Health Modeling): machine-learning tools that turn DNA plus farm-management data into disease-risk and nutrient-cycling scores, such as Bioclear earth’s disease-susceptibility predictor and BeCrop’s AL assistant.
3. Field-deployable biology assays (Field-Deployable Biology Assays): on-site tests delivering microbial biomass and fungal-to-bacterial ratios in roughly 20 minutes, plus handheld nutrient scanners (AgroCares) for same-day soil chemistry.
4. Microbial amendment prescription (Microbial Amendment Prescription): acting on the diagnosis with microbial inoculants and soil conditioners (Genliduo’s 菌碳 inoculants, Kingenta’s bio-fertilizers) that suppress soil-borne disease and rebuild soil biology.

Sectoral value chain

[soil sampling] ──> [DNA & field analysis] ──> [AI risk profiling] ──> [prescription]
                                   │
                           (inform soil management)
                                   │
                                   ▼
[monitoring] <─── [microbial amendment] <─────┘

Value chain levels

Cross-cutting technologies of the sector:

• Next-Generation DNA Sequencing (NGS Soil Profiling): metabarcoding and shotgun metagenomics profiling bacteria, fungi, archaea and nematodes from a single soil core.
• AI soil-health modeling (AI Soil-Health Modeling): disease-risk and nutrient-cycling prediction trained on DNA plus farm-management data.
• Field-deployable microbial-biomass assays (Field Microbial-Biomass Assays): rapid on-site tests for microbial biomass and fungal-to-bacterial ratio where lab turn-around is too slow.

02US

The US leads in DNA-based soil diagnostics and predictive pathogen management, anchored by genomics platforms and a deep agronomy-service base.

DNA soil diagnostics, predictive pathogen platforms, USDA soil-health programs

• Trace Genomics: high-definition genomic sequencing covering 70 crops and 225+ soilborne pathogens, sold as TraceCOMPLETE, TracePHOS and TraceN; its Ames, Iowa analytical lab and IP were acquired by Miraterra (Vancouver, BC) in July 2025 to pair soil DNA with Raman spectroscopy.
• Biome Makers: BeCrop 4.0 (launched February 2026) identifies 44,550+ fungal species after a 30% expansion of DNA assignment, benchmarked against a database of 5,000+ soil samples from 20 countries; BeCrop Farm evaluates 1,000+ parameters and has verified 400+ biological input products.
• USDA/EPA framing: soil-applied microbial products register under the EPA biopesticide track, while USDA-NRCS soil-health programs pull commercial demand for measurement and advisory services.

03CN

China pairs a large microbial-inoculant and soil-conditioner industry with MARA’s biofertilizer registration framework, under the national strategy of storing grain in the land and in technology (藏粮于地、藏粮于技).

microbial inoculants, soil-conditioner industry, MARA registration

• Genliduo (根力多): a microbial-inoculant specialist founded in 2002, built on microbe-plus-carbon (菌碳) core technology; products such as 麦玉保 suppress soil-borne pathogens (take-all, root rot, sharp eyespot) and accelerate straw decomposition, and the firm led the 《含微生物有机无机复合肥料》 group standard.
• Kingenta (金正大): founded in 1998 and listed in Shenzhen (002470), it is the world’s largest slow/controlled-release fertilizer producer with 6 million tons of annual capacity, 8.7 billion yuan in assets and 8,000 staff; a three-time National Science Award winner and UN FAO Global Soil Partnership member, it opened its first European controlled-release-fertilizer demonstration factory in the Netherlands in April 2025.
• MARA registration: microbial inoculants and biofertilizers route to market under MARA’s biofertilizer track, framing the regulatory path for soil-microbiome service products.

04EU

The EU combines a computational soil-biology sector with the new EU Soil Monitoring Law and Farm to Fork framework, which create direct demand for measurable soil-health services.

NGS soil DNA advisory, handheld soil scanning, EU Soil Monitoring Law

• Bioclear earth (Groningen, NL): founded in 1988, it uses Next Generation Sequencing to map soil bacteria, fungi and archaea and trains an AI tool on farm-management data to predict a soil’s susceptibility to crop disease, working with the provinces of Groningen, Friesland and Drenthe on arable-soil health.
• AgroCares (NL): a handheld Scanner delivers on-site soil nutrient (N/P/K) and health analysis under a freemium cloud model, complementing DNA diagnostics with rapid field chemistry.
• EU Soil Monitoring Law: the new soil-health framework ties service demand to measurable soil-status indicators, while EFSA assesses microbial-trait products entering the EU market.

05Leading companies and research institutes

06Tech stack and innovations

The stack pairs DNA-based diagnostics with AI soil-health modeling and a field-deployable assay plus amendment layer.

1. DNA-based soil microbiome diagnostics (DNA-Based Soil Microbiome Diagnostics):
   • Trace Genomics applies high-definition genomic sequencing to profile soil biology and pathogens across 70 crops and 225+ pathogens from a single submission.
   • Biome Makers’ BeCrop 4.0 engine expanded DNA assignment by 30% to over 44,550 fungal species, benchmarked against a 5,000+ sample, 20-country reference database.
2. AI soil-health and disease-risk modeling (AI Soil-Health & Disease-Risk Modeling):
   • Bioclear earth trains an AI tool on NGS profiles of bacteria, fungi and archaea combined with farm-management data to predict soil susceptibility to crop disease.
   • Biome Makers’ AL assistant turns pathway and nutrient-cycling indicators into management guidance across nitrogen (six microbial pathways), phosphorus and potassium.
3. Field assays and microbial amendments (Field Assays & Microbial Amendments):
   • Rapid on-site tests deliver microbial biomass and fungal-to-bacterial ratios in about 20 minutes, while AgroCares’ handheld scanner adds same-day N/P/K chemistry where lab turn-around is too slow.
   • Microbial amendments — Genliduo’s 菌碳 inoculants and Kingenta’s soil conditioners and bio-fertilizers — act on the diagnosis, suppressing soil-borne disease and rebuilding soil biology.

07Value chains and production pipelines

Industrial pipeline of a soil-microbiome management service (ISO 17025 testing / MARA biofertilizer registration)

┌───────────────────────────┐      ┌───────────────────────────┐
│ 1. Soil sampling          │ ───> │ 2. DNA & field analysis   │
└───────────────────────────┘      └───────────────────────────┘
                                                  │
                                                  ▼
┌───────────────────────────┐      ┌───────────────────────────┐
│ 4. Prescription           │ <─── │ 3. AI risk profiling      │
└───────────────────────────┘      └───────────────────────────┘
               │
               ▼
┌───────────────────────────┐      ┌───────────────────────────┐
│ 5. Microbial amendment    │ ───> │ 6. Monitoring & advisory  │
└───────────────────────────┘      └───────────────────────────┘

Stage 1: Soil sampling

Georeferenced soil cores (one BeCrop sample per ~hectare) are collected across a field under a standardized sampling plan; the output is a set of comparable soil samples.

Stage 2: DNA & field analysis

NGS metabarcoding profiles bacteria, fungi, archaea and nematodes — high-throughput sequencing detects 27.5–32.5% more nematode genera than morphology-based identification — complemented by handheld nutrient scanning; the output is sequence plus chemistry data.

Stage 3: AI risk profiling

Machine-learning models score disease risk, nutrient cycling and biodiversity from the DNA data plus farm-management records (BeCrop Farm’s 1,000+ parameters; Bioclear earth’s disease-susceptibility AI); the output is a set of soil-health indices and risk scores.

Stage 4: Prescription

The indices are translated into brand-agnostic input and management recommendations — where to deploy biofertilizers, conditioners or nutrient-liberating agents — producing an amendment prescription tied to the crop plan.

Stage 5: Microbial amendment

Microbial inoculants, conditioners and bio-fertilizers (Genliduo’s 菌碳 line, Kingenta’s soil-conditioner and bio-fertilizer portfolio) are applied to act on the diagnosis, suppressing soil-borne disease and rebuilding soil biology.

Stage 6: Monitoring & advisory

Soil is re-tested across seasons to track the soil-health trajectory, closing the loop with verified recovery and continuing advisory under the EU Soil Monitoring Law’s soil-status indicators.