Simulated data from a genotype-to-phenotype crop growth model for pepper

Area of Science:

• Agricultural Science
• Genetics
• Computational Biology

Background:

• Understanding genotype-environment interactions is crucial for crop breeding.
• Simulated data provides a controlled environment for studying complex trait variations.

Purpose of the Study:

• To generate a comprehensive dataset of simulated pepper yield data.
• To facilitate research on genotype-phenotype relationships under varying environmental conditions.

Main Methods:

• Simulated two-way data tables (200 genotypes x 12 environments) were created using a genotype-to-phenotype crop growth model.
• Pepper genotypes were characterized by 237 markers across 12 chromosomes.
• Environments varied in radiation, temperature (15, 20, 25°C), and location (Spain, Netherlands) with heritability levels of 0.3, 0.5, and 0.8.

Main Results:

• 300 simulated two-way data tables were generated.
• Data covers a range of genetic and environmental factors influencing crop yield.
• The dataset is available as supplementary material.

Conclusions:

• The generated dataset offers a valuable resource for agricultural research.
• Enables advanced analyses of genotype-environment interactions in pepper breeding.
• Supports the development of climate-resilient crop varieties.