Genomes To Fields (G2F) Conference Abstracts


Geospatial assessment of phenotype predictive analytics using machine learning techniques

Francisco Munoz-Arriola, Parisa Sarzaeim, Alessandro Amaranto, Diego Jarquin, Denise Bradford

Abstract #: W823

Improving selection accuracy of maize (Zea mays L.) grain yield utilizing unmanned aerial systems and structure from motion height estimates in the central texas genomes to fields (G2F) experiment

Steven Anderson, Lonesome Malambo, Anjin Chang, Marcin Jurek, Sorin Popescu, Jinha Jung, Dale Cope, Alex Thomasson, Seth Murray

Abstract #: B41J-01

Challenges Facing Crop Production And (Some) Potential Solutions

Patrick Schnable

Abstract #: B51A-1774

Breeding for increased water use efficiency in corn (maize) using a low-altitude unmanned aircraft system

Yeyin Shi, Arun-Narenthiran Veeranampalayam-Sivakumar, Jiating Li, Yufeng Ge, James C Schnable, Oscar Rodriguez, Zhikang Liang, Chenyong Miao