Agrinomy
Modern agronomy. Made practical.

Encyclopaedia

microclimate → edge-vs-centre-effects

Edge vs centre effects

Crop performance is rarely uniform across a block, tunnel, or glasshouse.

One of the most consistent patterns is the difference between edges and centres.

These effects are driven by microclimate, not luck.


What are edge effects?

Edge effects describe systematic differences in conditions at the boundaries of a crop compared with its interior.

Edges include: - Outer rows - End bays - Near walls or doors - Along paths or vents

Centres are areas buffered by surrounding plants.


How edges differ from centres

Edges often experience: - Greater temperature fluctuation - Higher or lower airflow - Faster drying - Greater radiation exposure - Increased stress variability

Centres tend to be: - More humid - Less ventilated - More stable - Higher disease risk

Neither is universally “better”.


Disease patterns

Disease often: - Starts in centres (humidity, poor airflow) - Accelerates at edges (stress + exposure)

This explains mixed symptom patterns that seem contradictory.


Stress patterns

Edges are more prone to: - Heat stress - Cold damage - Water stress - Salinity fluctuation

Centres are more prone to: - Hypoxia - Disease - Latent stress accumulation


Management actions amplify edge effects

Edge effects are often worsened by: - Uniform irrigation - Uniform ventilation - Sensor placement in “easy” locations - Assuming uniformity

Uniform actions applied to non-uniform environments increase variability.


Practical implications for management

Better outcomes come from:

  • Recognising edge zones explicitly
  • Adjusting expectations for edge performance
  • Monitoring both edge and centre conditions
  • Avoiding single-sensor assumptions
  • Using edges as early warning zones

Edges reveal stress first; centres accumulate it.


Key takeaways

  • Edge and centre environments differ consistently
  • Disease and stress distribute unevenly
  • Uniform management amplifies variability
  • Monitoring must reflect spatial reality
  • Variability is structural, not random

Related topics

  • Microclimate fundamentals
  • Vent shadowing & climate gradients
  • Sensor placement bias
  • Disease distribution patterns
  • Water movement & root access