Mycology 105: Troubleshooting, Optimization & Scaling
Develop diagnostic skills and optimization mindset. Learn to solve common problems, track key metrics, and scale your cultivation operation.
Mycology 105: Troubleshooting, Optimization & Scaling
You've learned the fundamentals across Mycology 101-104. Now it's time to develop the diagnostic skills and optimization mindset that separate hobbyists from serious cultivators. This guide provides frameworks for solving problems and improving results.
The Diagnostic Framework
When something goes wrong, resist the urge to guess randomly. Instead, work through a systematic diagnostic process.
Define the Problem
What exactly is wrong? "Contamination" is too vague. "Green mold appearing on grain spawn 7 days after inoculation" is specific and actionable.
Gather Data
Pull up your records. What strain? What spawn lot? What sterilization batch? What incubation conditions? The answer often hides in the details.
Identify Patterns
Is this an isolated incident or a recurring issue? Are there commonalities between failed batches?
Hypothesize and Test
Form a hypothesis about the root cause. Design a test to verify. Change one variable at a time.
Without records, troubleshooting becomes guesswork. When you can see that all contaminated jars came from the same grain batch or the same transfer session, the problem becomes obvious.
Common Problems and Solutions
Contamination Patterns
| Pattern | Likely Cause | Solution |
|---|---|---|
| Random jars in a batch | Poor sterile technique during inoculation | Improve SAB/flow hood protocol |
| All jars from one batch | Under-sterilization or wet grain | Extend PC time, improve grain prep |
| Contamination after shaking | Loose filter discs or cracked lids | Inspect containers before use |
| Contamination during fruiting | Environmental spores | Improve fruiting room hygiene |
| Recurring same contaminant | Persistent source | Deep clean and identify source |
Stalled Colonization
If mycelium stops growing or grows unusually slowly:
- Temperature too low: Verify incubation temps (most species need 70-78°F)
- Substrate too dry: Grain wasn't properly hydrated before sterilization
- Genetic issue: Culture may be senescent (too many transfers)
- Wrong substrate: Some species won't colonize certain substrates
Fruiting Problems
| Symptom | Cause | Fix |
|---|---|---|
| No pins forming | Too much CO2 | Increase FAE |
| Pins aborting | Humidity too low | Increase misting, check humidifier |
| Long stems, tiny caps | Too much CO2 | Increase FAE |
| Overlay (thick mat, no pins) | Too rich substrate or CO2 | Fork-tek, increase FAE |
| Bacterial blotch | Too much moisture on surface | Reduce misting, improve airflow |
Yield Optimization
Once you've eliminated obvious problems, focus on optimization. Small improvements compound across hundreds of blocks.
Tracking Key Metrics
At minimum, track these for every batch:
- Biological efficiency (BE): Fresh weight of mushrooms / dry weight of substrate × 100
- Colonization time: Days from inoculation to full colonization
- Contamination rate: Percentage of units lost to contamination
- Flushes per block: Number of productive harvests
Benchmarks by Species
| Species | Good BE | Excellent BE |
|---|---|---|
| Oyster | 100-150% | 150-200% |
| Lion's Mane | 60-80% | 80-100% |
| Shiitake | 75-100% | 100-125% |
If you're significantly below these benchmarks, there's room for improvement in genetics, substrate, or conditions.
Optimization Levers
Genetics: The single biggest lever. A high-yielding strain can outperform a mediocre one by 50-100%. Test multiple isolates and keep records.
Substrate formulation: Experiment with supplementation rates. More nitrogen (soy hulls, bran) increases yield but also contamination risk.
Environmental tuning: Small improvements in humidity, temperature, or FAE consistency can meaningfully impact yield.
Spawn rate: Higher spawn rates mean faster colonization and lower contamination risk, but higher cost. Find your optimal balance.
When experimenting, change only one variable at a time. Otherwise, you won't know which change caused the improvement.
Strain Selection and Testing
Not all genetics are equal. Develop a systematic approach to evaluating strains.
Evaluation Criteria
| Criterion | Why It Matters |
|---|---|
| Yield | Direct revenue impact |
| Colonization speed | Faster turnover, less contamination window |
| Morphology | Market preference for shape and size |
| Shelf life | Post-harvest quality retention |
| Contamination resistance | Reduces losses |
Testing Protocol
- Start with 5+ isolates of the same species
- Run each through identical conditions
- Track all metrics for at least 3 fruiting cycles
- Select top performers for production
- Archive winning genetics
Your best strain today may not be your best in a year. Continuous testing and selection improve your operation over time.
Scaling Considerations
Moving from hobby to small commercial production involves more than just buying bigger equipment.
Space Requirements
| Scale | Space Needed | Notes |
|---|---|---|
| Hobby (10 blocks/week) | Spare room or closet | Minimal infrastructure |
| Side business (50 blocks/week) | Dedicated room or garage | Basic climate control |
| Small commercial (200+ blocks/week) | Purpose-built facility | Professional systems |
Process Documentation
At scale, consistency requires documented procedures:
- Standard Operating Procedures (SOPs): Step-by-step instructions for every task
- Batch records: Complete documentation of each production run
- Quality checklists: Verification points throughout the workflow
- Training materials: For bringing on help
Commercial food production has regulatory requirements. Research your local food safety regulations before selling mushrooms.
The Data Advantage
Commercial operations that track everything outcompete those flying blind:
- Identify which strains perform best in your conditions
- Spot contamination sources before they become patterns
- Optimize substrate formulations based on actual results
- Make informed decisions about genetics and process changes
Log each production batch, record your harvests, and review the data regularly. The cultivators who measure, improve.
Building Your Continuous Improvement Cycle
Excellence in cultivation isn't a destination—it's a process.
Measure
Track key metrics for every batch: colonization time, contamination rate, yield.
Analyze
Review data weekly or monthly. Look for trends, outliers, and patterns.
Hypothesize
Form theories about what's working and what isn't based on your data.
Experiment
Test one variable at a time. Run controlled comparisons.
Implement
When you find improvements, update your SOPs and make them standard.
Repeat
This cycle never ends. There's always room to improve.
You've now completed the Mycology 101-105 series. From basic biology through advanced troubleshooting, you have the knowledge foundation for successful cultivation. Now it's time to apply it.
Quick Reference: Troubleshooting Checklist
When problems occur:
- Document the specific symptoms
- Review batch records for the affected items
- Check for patterns across multiple batches
- Verify environmental conditions are within range
- Inspect equipment for issues (filters, seals, etc.)
- Review recent process changes
- Form hypothesis and design test
- Implement fix and monitor results