Kaique Alves

Research

Quantitative epidemiology for plant health decisions

My work focuses on disease risk, yield loss, surveillance, and analytical frameworks that connect plant pathology with actionable decisions.

Focus areas

Disease risk modelingYield loss analysisDisease surveillanceQuantitative phenotypingDecision supportApplied epidemiology

Selected publications

  1. Alves KS, Barro JP, Del Ponte EM (2025) Quantifying ENSO-mediated shifts in soybean rust impact: Yield loss dynamics and management implications in Brazil.Plant Pathology
  2. Alves KS, Shah DA, Dillard HR, Del Ponte EM, Pethybridge SJ (2025) Safer and Smarter: Leveraging Interpretation-Guided Modeling and Data Merging of Disease and Environmental Data for Plant Disease Risk Prediction.Phytopathology
  3. Gondo IRG, da Rocha MR, Gondo CY, Alves KS, dos Anjos BB, Moraes SPCB, Camara GR, Zucoloto M, Barbosa DHSG, Alves FR, Xavier AS, Silva SA, Moraes WB (2025) Temporal dynamics of guava root-knot nematode under the effect of different management methods.Crop Protection
  4. Sparks AH, Ponte EMD, Alves KS, Foster ZSL, Grunwald NJ (2023) Openness and computational reproducibility in plant pathology: where we stand and a way forward.Phytopathology
  5. Alves KS, Del Ponte EM (2021) Analysis and simulation of plant disease progress curves in R: introducing the epifitter package.Phytopathology Research
  6. Alves KS, Barro JP, Guimaraes M, Del Ponte EM (2021) Profitability of fungicide applications for managing soybean rust in scenarios of variable efficacy and costs: a stochastic simulation.Plant Pathology