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\begin{document}

\title{Impact of Multiple Computed Tomography X-ray Doses on Maize Root
and Shoot Development}



\author[1]{Libo Zhang}%
\author[1]{Mitchell R. Tuinstra}%
\author[1]{Michael J. Gosney}%
\author[1]{Chris D. Hoagland}%
\author[1]{Sungchan Oh}%
\author[1]{Yang Yang}%
\affil[1]{Affiliation not available}%


\vspace{-1em}



  
  \date{May 28, 2024}


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\begin{abstract}
The maize root system architecture (RSA) influences the absorption of
water and nutrients and plays an important role in determining grain
yield. Selecting root traits could be an important consideration to
improve maize productivity. Traditional approaches in root measurements
are destructive, time-consuming and labor-intensive. Nowadays, the X-ray
Computed Tomography (CT) technology has been widely applied for
non-destructive root trait quantification of maize plants. The
root-based imaging technique can be integrated with
visible-near-infrared (VNIR) and short-wavelength-infrared (SWIR)
cameras to monitor the root and shoot development in the cycle of maize
growth. To evaluate the impact of X-ray radiation on maize development,
twenty-eight (28) plants were grown in the Ag Alumni Seed Plant
Phenotyping Facility (AAPF) at Purdue University and exposed to three
different X-ray doses during the growth. The plant root CT and shoot
hyperspectral images were collected several times from planting to
harvesting. The dry weight/biomass was measured for each plant
immediately after harvesting. The results showed that the plants under
the three X-ray doses did not exhibit significant differences in root
and shoot development. Since the plants were under different water
treatments, the water impact on the maize RSA configuration was also
studied.%
\end{abstract}%



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\textbf{Libo Zhang}~\textsuperscript{a}, Mitchell R.
Tuinstra~\textsuperscript{a, b}, Michael J. Gosney~\textsuperscript{a},
Chris D. Hoagland\textsuperscript{a}, Sungchan Oh~\textsuperscript{a}
and Yang Yang\textsuperscript{a}

Correspondence: Dr. Yang Yang Director of Digital Phenomics, Institute
for Plant Sciences, College of Agriculture, Purdue University, 915 W.
State Street, West Lafayette, IN 47907, United States Phone:
+1(765)-494-1650 \textbar{} Email:
\href{mailto:Yang1527@purdue.edu}{\nolinkurl{Yang1527@purdue.edu}}

\textsuperscript{a} Institute for Plant Sciences, College of
Agriculture, Purdue University, West Lafayette, IN 47907, United States

\textsuperscript{b} Plant Breeding and Genetics, Department of Agronomy,
Purdue University, West Lafayette, IN 47907, United States

Presenter: Libo Zhang~\url{https://orcid.org/0009-0001-5212-5273}

Keywords: RSA, root phenotyping, X-ray CT, maize yield, hyperspectral
imaging

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