Leaf Sample Size for Pesticide Application Technology Trials in Coffee Crops

Area of Science:

• Agricultural Science
• Agronomy
• Pesticide Application Technology

Background:

• Experimental design in agriculture requires careful consideration of factors like plot size and sample size to minimize errors.
• Accurate measurement of pesticide application, including foliar spray deposition and soil runoff, is crucial for efficacy and environmental safety in coffee crops.

Purpose of the Study:

• To determine the appropriate sample size for application technology experiments in coffee crops using statistical models.
• To evaluate foliar spray deposition and soil runoff in ground-based pesticide application.

Main Methods:

• Determined optimal leaf quantity per set and extraction solution volume by analyzing variability in tracer extraction.
• Conducted a field experiment with an entirely randomized design, collecting leaf samples and using Petri dishes for soil runoff.
• Applied statistical methods, including maximum curvature, to determine optimal sample sizes based on variability.

Main Results:

• Identified 10 leaves per set and 100 mL of extraction solution as optimal for reducing variability in tracer extraction.
• Found higher variability in spray deposition related to difficult-to-reach targets.
• Determined an optimal sample size of 5-8 leaf sets for spray deposition and 4-5 Petri dishes for soil runoff.

Conclusions:

• The study provides statistically validated sample sizes for future pesticide application technology experiments in coffee.
• Optimized sample sizes enhance the reliability and accuracy of experimental data for foliar deposition and soil runoff.
• Findings contribute to more efficient and precise agricultural research methodologies.