@@ -283,8 +283,7 @@ Lab members in \textbf{bold}, $^*$authors contributed equally, $^\ddagger$underg
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\subsection*{Preprints}
\noindent\textbf{Miao C}, \textbf{Guo A}$^\ddagger$, Yang J, Ge Y, \textbf{Schnable JC}$^\S$ Automation of leaf counting in maize and sorghum using deep learning. \textsc{bioRxiv} doi: \href{https://doi.org/10.1101/2020.10.27.355495}{10.1101/2020.12.19.423626}
\noindent\textbf{Miao C}, \textbf{Guo A}$^\ddagger$, Yang J, Ge Y, \textbf{Schnable JC}$^\S$ Automation of leaf counting in maize and sorghum using deep learning. \textsc{bioRxiv} doi: \href{https://doi.org/10.1101/2020.10.27.355495}{10.1101/2020.12.19.423626}\\
\noindent\textbf{Mural RV}, \textbf{Grzybowski M}, \textbf{Miao C}, \textbf{Damke A}$^\ddagger$, Sapkota S, Boyles RE, Salas Fernandez MG, Schnable PS, \textbf{Sigmon B}, Kresovich S, \textbf{Schnable JC}$^\S$ Meta-analysis identifies pleiotropic loci controlling phenotypic trade-offs in sorghum. \textsc{bioRxiv} doi: \href{https://doi.org/10.1101/2020.10.27.355495}{10.1101/2020.10.27.355495}\\
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@@ -301,8 +300,6 @@ Lab members in \textbf{bold}, $^*$authors contributed equally, $^\ddagger$underg
%\noindent Sankaran S, Marzougui A, \textbf{Hurst JP}, Zhang C, \textbf{Schnable JC}, Shi Y. Can high resolution satellite imagery be used in high-throughput field phenotyping? \textit{(In Review)}\\
%\noindent Zhu Y, Chen Y, Ali Md. A, Dong L, Wang X, Archontoulis SV, Schnable JC, Castellano MJ. Continuous in situ soil nitrate sensors: a comparison with conventional measurements and the value of high temporal resolution measurements. \textit{(In Review)}\\
%\noindent Busta L, Schmitz E, Kosma D, Schnable JC, Cahoon EB. A co-opted steroid synthesis gene, maintained in sorghum but not maize, seals leaves against water loss. \textit{(In Review)}\\
%\noindent Rogers AR, Dunne JC, Romay C ... \textbf{Schnable JC} (24th of 39 authors) ... Kaeppler S, De Leon N, Holland JB. The importance of dominance and genotype-by-environment interactions on grain yield variation in a large-scale public cooperative maize experiment. \textit{(In Review)}\\
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@@ -318,6 +315,8 @@ Lab members in \textbf{bold}, $^*$authors contributed equally, $^\ddagger$underg
\begin{etaremune}
\subsection*{Faculty Publications}
\item Zhu Y, Chen Y, Ali Md. A, Dong L, Wang X, Archontoulis SV, \textbf{Schnable JC}, Castellano MJ$^\S$ (2021) Continuous in situ soil nitrate sensors: a comparison with conventional measurements and the value of high temporal resolution measurements. \textsc{Soil Science Society of America Journal}\textit{(Accepted)}
\item Weissmann S, Huang P, Furoyama K, Wiechert M, Taniguchi M, \textbf{Schnable JC},$^\S$ Brutnell TP, Mockler TC$^\S$ (2021) DCT4 - a new member of the dicarboxylate transporter family in C\textsubscript{4} grasses. \textsc{Genome Biology and Evolution}\textit{(Accepted)}\textsc{bioRxiv} doi: \href{https://doi.org/10.1101/762724}{10.1101/762724}
\item Jarquin D, de Leon N, Romay C ... \textbf{Schnable JC} (24th of 33 authors) ... Wisser RJ, Xu W, Lorenz A (2021) Utility of climatic information via combining ability models to improve genomic prediction for yield within the Genomes to Fields maize project. \textsc{Frontiers in Genetics} doi: \href{https://doi.org/10.3389/fgene.2020.592769}{10.3389/fgene.2020.592769}
