Vini Garnica

Postdoctoral Scholar

The Ohio State University

I develop and apply quantitative methods to solve problems in plant disease epidemiology and crop management.

Download my Resume.

Interests

Bayesian hierarchical modeling
Disease prediction and epidemiology
Meta-analysis with spatial modeling
Multi-environment trial analysis
Fungicide efficacy and ROI evaluation
R Shiny applications for crop pathology

Education

Ph.D. in Plant Pathology (Statistics minor), 2024

North Carolina State University, United States
M.S. in Agronomy and Plant Pathology (Statistics minor), 2019

University of Nebraska-Lincoln, United States
B.Sc. in Agronomy, 2016

Federal University of Vicosa, Brazil

Posts

Introducing MSE FindR

A Shiny app tool to extract mean square error from treatment means and post hoc test results.

Oct 26, 2022 3 min read

Projects

How many subsamples are enough?

In field trials, stand counts help evaluate how seed treatments affect crop establishment and, ultimately, yield. But counting every plant in every plot across dozens of trials isn’t practical—especially during peak season, when the team is stretched thin with SCN sampling and other early-season assessments.

Exploring models for network meta-analysis with ASReml-R

Meta-analysis is a powerful method for comparing treatments across studies by summarizing and combining treatment effects. Traditionally, this involves extracting a single effect size per study—such as a difference in means, log odds ratio, or standardized response—and aggregating these across studies.

Mapping and sampling wheat fields in North Carolina using R

Introduction In this post, I’ll walk you through a workflow for mapping and sampling agricultural fields in the U.S., using wheat in North Carolina as an example. Randomly selecting coordinates of agricultural fields is important when testing a model.

Data imputation for designed experiments

Whenever I get my hands on a new dataset (regardless of data being collected by me or someone else) and I find missing data, and that makes me frustrated. And do you know when that happens?

Analysis of quantitative factors in split-plot design

Analysis of Messy Data Vol.2, Milliken and Johnson, 2009. pg 440 In this experiment, researchers are interested in evaluating the effect of moisture and fertilizer on dry weight of wheat.

Publications

Explore publications by filtering here.

Leveraging window-pane analysis with environmental factor loadings of genotype-by-environment interaction to identify high-resolution weather-based variables associated with plant disease

A framework to design high-resolution weather variables associated with genotype-by-environment interactions in plant disease, using Stagonospora nodorum blotch of wheat as a case study.

Vinicius C. Garnica, Peter S. Ojiambo

Leveraging window-pane analysis with environmental factor loadings of genotype-by-environment interaction to identify high-resolution weather-based variables associated with plant disease

MSE FINDR: A Shiny R application to estimate mean square error using treatment means and post hoc test results

A Shiny R tool enabling researchers to recover within-study variance from published treatment means and post hoc test results, allowing previously excluded studies to be included in meta-analyses and effect size calculations.

Vinicius C. Garnica, Denis A. Shah, Paul D. Esker, Peter S. Ojiambo

MSE FINDR: A Shiny R application to estimate mean square error using treatment means and post hoc test results

A global-temporal analysis on Phytophthora sojae resistance gene efficacy

A global meta-analysis reveals a significant loss of efficacy in widely deployed Rps genes against Phytophthora sojae and an increase in pathogen diversity, highlighting the urgent need to integrate novel resistance genes into soybean cultivars.

Austin G. McCoy, Richard R. Belanger, Carl A. Bradley, Daniel G. Cerritos-Garcia, Vinicius C. Garnica, Loren J. Giesler, Pablo E. Grijalba, Eduardo Guillin, Maria A. Henriquez, Yong Min Kim, Dean K. Malvick, Rashelle L. Matthiesen, Santiago X. Mideros, Zachary A. Noel, Alison E. Robertson, Mitchell G. Roth, Clarice L. Schmidt, Damon L. Smith, Adam H. Sparks, Darcy E. P. Telenko, Vanessa Tremblay, Owen Wally, Martin I. Chilvers