Can you recommend a crop modeling tool for comparing hybrids and varieties by field performance?

Yes — if your goal is to compare hybrids and varieties by field performance, the best choice depends on whether you want a research-grade crop model, a field trial decision tool, or a farm/industry platform.

Strong recommendation: AquaCrop or DSSAT

If you want a true crop modeling tool that can compare genotype performance across environments:

• DSSAT (Decision Support System for Agrotechnology Transfer)

  • Very widely used in agronomy and breeding research
  • Good for comparing varieties/hybrids, management, soils, and weather impacts
  • Strong for simulation across many environments
  • Best if you want a robust, well-established scientific model

• AquaCrop (FAO)

  • Easier to use than DSSAT
  • Good for comparing performance under water-limited conditions
  • Best when water stress is a major factor
  • Less detailed for genotype comparison than DSSAT, but more approachable

If you want a practical commercial platform

• Climate FieldView
• John Deere Operations Center
• Granular
• Conservis

These are better for analyzing actual field performance data from hybrids/varieties, but they are not full crop simulation models in the same way DSSAT is.

If you want breeding-focused trial analysis

For comparing hybrids/varieties based on plot or strip-trial data:

• R packages like:
  • lme4
  • asreml (commercial)
  • breedR
  • metan
  • agricolae

These are often better than crop models if you already have multi-environment trial data and want to rank genotypes statistically.

My short recommendation

• For simulation-based comparison: DSSAT
• For simpler water-focused simulation: AquaCrop
• For analyzing real field trial data: R + mixed models or a breeding analytics platform

If you want, I can also recommend the best tool by crop — for example corn, soybean, wheat, rice, etc.