2023
DOI: 10.3390/plants12051093
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Leaf Sample Size for Pesticide Application Technology Trials in Coffee Crops

Abstract: Plot size, sample sufficiency, and number of repetitions are factors that affect the experimental errors or residuals and the expression of true differences among treatments. The objective of this study was to determine, using statistical models, the appropriate sample size for application technology experiments in coffee crops through the evaluation of foliar spray deposition and soil runoff in the ground-based application of pesticides. In the first stage, we determined the quantity of leaves per set and the… Show more

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Cited by 2 publications
(1 citation statement)
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“…Regulatory authorities are deeply concerned about pesticide residue levels in food and soil (Winter, Jara, 2015). The quantity of pesticide residues in coffee beans is influenced by several factors, including application methods (e.g., spray equipment, protective devices, nozzles, pressure, and volume) and the timing concerning the crop phenological stage (Reis et al, 2015;Palma et al, 2023). For instance, when glyphosate is applied close to the harvest when fruits are ripe or dried, there is a high risk of residues increasing in coffee beans (Merhi et al, 2022) because fruits are no longer undergoing physiological maturation processes (Cassia et al, 2015).…”
Section: Introductionmentioning
confidence: 99%
“…Regulatory authorities are deeply concerned about pesticide residue levels in food and soil (Winter, Jara, 2015). The quantity of pesticide residues in coffee beans is influenced by several factors, including application methods (e.g., spray equipment, protective devices, nozzles, pressure, and volume) and the timing concerning the crop phenological stage (Reis et al, 2015;Palma et al, 2023). For instance, when glyphosate is applied close to the harvest when fruits are ripe or dried, there is a high risk of residues increasing in coffee beans (Merhi et al, 2022) because fruits are no longer undergoing physiological maturation processes (Cassia et al, 2015).…”
Section: Introductionmentioning
confidence: 99%