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\begin{document}

\title{Modeling the Impact of Drought and Heat Stress on Maize Anthesis-Silking
Interval~~~}



\author[1]{Bethany Nolta}%
\author[1]{Carolina Wheeler}%
\author[1]{Atharva Kirkole}%
\author[1]{Addie Thompson}%
\affil[1]{Affiliation not available}%


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  \date{May 25, 2024}


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\begin{abstract}
Understanding and enhancing plant resilience traits in maize is critical
for ensuring consistent yields in the face of challenging conditions
such as drought, disease, and insect pressure. The adoption of
drought-resistant and insect-resistant maize varieties has already
proven highly beneficial to growers, sparking further interest in
uncovering the precise genetic and phenomic factors associated with
increased resilience. This study utilized genetic, phenomic, and
environmental data collected by Genomes to Fields teams across diverse
regions of the United States. These regions exhibited a wide range of
climatic conditions, from optimal to stressful, including drought and
heat challenges. Leveraging advanced Machine Learning techniques, the
study aimed to predict the impact of drought and heat stress on the
anthesis-silking interval, a crucial trait influencing yield, and to
identify the most effective combination of phenotypes for enhancing
drought resilience in maize.%
\end{abstract}%



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\emph{\textbf{Bethany Nolta\textsuperscript{1}, Carolina
Wheeler\textsuperscript{2}, Atharva Kirkole\textsuperscript{2}}, Addie
M. Thompson\textsuperscript{3,4}}

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

\emph{\textsuperscript{2}Computer Science, College of Engineering,
Michigan State University, East Lansing, MI, USA}

\emph{\textsuperscript{3}Department of Plant, Soil \& Microbial
Sciences, College of Agriculture and Natural Resources, Michigan State
University, East Lansing, MI, USA}

\emph{\textsuperscript{4}Plant Resilience Institute, Michigan State
University, East Lansing, MI, USA}

\textbf{ORCiD:~}\emph{0009-0009-1935-8559},~\emph{0009-0000-0701-2037},~\emph{0009-0002-0066-1602},~\emph{0000-0002-4442-6578}

\textbf{Keywords:} Genomics, phenomics, maize, anthesis-silking
interval, machine learning, drought resistance, Genomes to Fields

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