Vini Garnica

Postdoctoral Scholar

The Ohio State University

Bio

I am a postdoctoral scholar in soybean plant pathology and epidemiology, focused on spatial statistics, disease management, and meta-analytic approaches. My research integrates hierarchical Bayesian modeling, spatially resolved field trials, and reproducible pipelines to improve the prediction and management of plant diseases.

Download my Resume.

Interests

• Spatial statistics and field trials
• Plant disease prediction and crop loss
• Hierarchical Bayesian meta-analysis
• Software tools for field epidemiology

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

Shiny app Tutorial

Projects

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All Epidemiology Disease management Statistics

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

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MSE FINDR: A Shiny R Application to Estimate Mean Square Error Using Treatment Means and Post Hoc Test Results

A Shiny R tool for estimating MSE using treatment means and post hoc test statistics.

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

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A global-temporal analysis on Phytophthora sojae resistance-gene efficacy

pathogen population, soybeans.

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

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Impact assessment of residual soil-applied pre-emergence herbicides on the incidence of soybean seedling diseases under field conditions

seedling diseases, PRE herbicides, soybeans.

Vinicius C. Garnica, Amit J. Jhala, Robert M. Harveson, Loren J. Giesler

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Comparison of Phytophthora sojae Populations in Iowa and Nebraska to Identify Effective Rps Genes for Phytophthora Stem and Root Rot Management

pathogen population, soybeans.

Rashelle L. Matthiesen, Clarice Schmidt, Vinicius C. Garnica, Loren J. Giesler, and "Alison E. Robertson"

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Soybean Canopy Coverage, Population, and Yield Responses to Seed Treatment and Cultivar Resistance to Phytophthora sojae in Nebraska

seed treatment, oomycide, soybeans.

Vinicius C. Garnica, Loren J. Giesler

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