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\begin{document}

\title{Identifying Genetic Markers Associated with Plant Resilience Phenotypes
in Maize}



\author[1]{Sydnie Muir}%
\author[1]{Humberto Mastrocola Colletes}%
\author[1]{Mehmet Sarp Ozel}%
\author[1]{Addie Thompson}%
\affil[1]{Affiliation not available}%


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  \date{May 23, 2024}


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\begin{abstract}
Corn is a cornerstone of the global food supply, but its vulnerability
to unpredictable weather patterns, exacerbated by climate change, poses
significant challenges to its consistent production. This study aims to
enhance maize breeding efforts by identifying genetic markers associated
with plant resilience, including the factors of growth rates, stress
resistance, disease resistance, overall productivity, and variation in
weather. Leveraging previous years of genetic, phenotypic, and drone
imagery data from the maize Genomes to Fields project, we conducted a
genetic analysis utilizing location-year datasets with varying disease
presence, environmental stressors, and weather conditions. The focus was
primarily on the anthesis-silking interval (ASI), an essential metric in
drought resistance. Machine learning techniques were employed for
efficient large-scale data analysis, hypothesis testing, and result
interpretation. The outcomes of this research hold immense value for
farmers grappling with seasonal droughts and extreme heat. Cultivating
crops with a history of weather resilience can serve as a predictive
tool, mitigating supply chain disruptions and food shortages, ultimately
stabilizing food prices.%
\end{abstract}%



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\emph{\textbf{Sydnie Muir\textsuperscript{1}, Humberto Mastrocola
Colletes\textsuperscript{2}, Mehmet Sarp Ozel\textsuperscript{3},} Addie
M. Thompson\textsuperscript{4,5}}

\emph{\textsuperscript{1}Biochemistry and Molecular Biology and
Biotechnology, College of Natural Science, Michigan State University,
East Lansing, MI, USA}

\emph{\textsuperscript{2}Eli Broad College of Business, Michigan State
University, East Lansing, MI, USA}

\emph{\textsuperscript{3}Electrical Engineering, College of Engineering,
Michigan State University, East Lansing, MI, USA}

\emph{\textsuperscript{4}Department of Plant, Soil \& Microbial
Sciences, College of Agriculture and Natural Resources, Michigan State
University, East Lansing, MI, USA}

\emph{\textsuperscript{5}Plant Resilience Institute, Michigan State
University, East Lansing, MI, USA}

\textbf{ORCiD: 0009-0000-1643-3159}

\textbf{0009-0004-2315-0199}

\textbf{0000-0002-4442-6578}

\textbf{Keywords:} Plant resilience, maize yield, climate/weather,
anthesis-silking interval, genetic association, Genomes to Fields

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