3
Genome Technology: Other Genome Methodology

P0029
A Simple Way to Detect in Planta ZFN Activity and Chimerism in Gene Targeting
Wei Chen, Dow AgroSciences

P0030
E!DAL - a Framework to Store, Share and Publish Research Data
Matthias Lange, Leibniz Institute of Plant Genetics and Crop Plant Research (IPK) Gatersleben

P0031
Best Practices for Whole Genome Sequencing Using the Sequel System
Primo Baybayan, Pacific Biosciences; Shreyasee Chakraborty, Pacific Biosciences; Christine Lambert, Pacific Biosciences; Kevin Eng, Pacific Biosciences; Emily Hatas, PacBio; Nick Sisneros, Pacific Biosciences

P0032
The Genotyping-By-Sequencing SNP Calling Reference Optional Pipeline (GBS-SNP-CROP) and Its Applications in Plant Breeding
Arthur T. O. Melo, University of New Hampshire, College of Life Science and Agriculture, Department of Biological Sciences; Radhika Bartaula, University of New Hampshire, College of Life Science and Agriculture, Department of Biological Sciences; Haley Gustafson, University of New Hampshire, College of Life Science and Agriculture, Department of Biological Sciences; Iago Hale, University of New Hampshire, College of Life Science and Agriculture, Department of Biological Sciences

P0033
High Molecular Weight DNA Isolation from Plant Tissue for Next-Generation Mapping Applications
Yang Zhang, BioNano Genomics

P0034
Identification of Conserved Genomic Features with Limited Genomic Resources Using RNA-Seq
Keenan Amundsen, Department of Agronomy and Horticulture, University of Nebraska-Lincoln

P0035
BLUP Alphabet for Genomic Prediction
Zhiwu Zhang, Washington State University; Jiabo Wang, Northeast Agricultural University; Zhengkui Zhou, Chinese Academy of Sciences; Zhe Zhang, South China Agricultural University; Hui Li, Northeast Agricultural University; Di Liu, Heilongjiang Academic of Agricultural science; Qin Zhang, China Agricultural University; Peter Bradbury, Cornell University/USDA-ARS; Rory Todhunter, Cornell University; Edward S. Buckler, USDA-ARS-Cornell University

P0036
Application of Multiplex CRISPR/Cas9-Based Genome Editing Strategy for Targeting Multiple Agronomic Genes in Wheat
Wei Wang, Department of Plant Pathology, Kansas State University; Fei He, Kansas State University, Department of Plant Pathology, Manhattan, KS; Qianli Pan, Kansas State University; Shiaoman Chao, United States Department of Agriculture (USDA), Research Agricultural Service (ARS), Biosciences Research Laboratory; Harold N. Trick, Kansas State University; Alina Akhunova, Kansas State University; Eduard Akhunov, Kansas State University, Department of Plant Pathology, Manhattan, KS

P0037
Gene Editing in Cereals
Ming Luo, CSIRO; Xiaoba Wu, CSIRO; Robert Morbitzer, University Tuebingen; Thomas Lahaye, University Tuebingen; Michael Ayliffe, CSIRO

P0038
Whole Genome Amplification of Single Pollen Grains and SNP Array Data for Accurate Haplotype Determination in Citrus
Sergio Pietro Ferrante, CNR - Institute of Biosciences and BioResources; Mikeal L. Roose, University of California Riverside

P0039
Genome-Guided EcoTILLING Approach Towards Improved Fatty Acid Biosynthesis in Coconut
Darlon V. Lantican, University of the Philippines Los Baños; Anand Noel C. Manohar, University of the Philippines Los Baños; Melvin P. Dancel, University of the Philippines Los Baños; Don Emanuel M. Cardona, University of the Philippines Los Baños; Alissa Carol M. Ibarra, University of the Philippines Los Baños; Alma O. Canama, University of the Philippines Los Baños; Roanne R. Gardoce, University of the Philippines Los Baños; Hayde F. Galvez, University of the Philippines Los Baños

P0040
CRISPR/Cas9-Targeted Gene Modification in Solanaceae Crops
Geung-Joo Lee, Chungnam National University; Saminathan Subburaj, Chungnam National University; Luhua Tu, Chungnam National University

P0041
Toward a Better Understanding of Plant Genomes Structure: Combining NGS and Optical Mapping Technology to Improve the Sunflower Assembly
Celine Chantry Darmon, INRA CNRGV; Stephane Cauet, INRA CNRGV; Celine Jeziorski, INRA CNRGV; Nathalie Rodde, INRA CNRGV; William Marande, INRA CNRGV; Arnaud Bellec, INRA CNRGV; Sonia Vautrin, INRA CNRGV; Nicolas Langlade, Laboratoire des Interactions Plantes Micro-organismes (LIPM) - INRA/CNRS; Stéphane Munos, Laboratoire des Interactions Plantes Micro-organismes (LIPM) - INRA/CNRS; Jérôme Gouzy, Laboratoire des Interactions Plantes Micro-organismes (LIPM) - INRA/CNRS; Hélène Bergès, INRA CNRGV

P0042
DNA Polymorphism on a Tool for Molecular Discrimination in Animal Species
Fumika Ito, Graduate School of Biosphere Science, Hiroshima University; Ryouki Onishi, The Graduate School of Biosphere Science, Hiroshima University; Hiroki Yamashita, KURABO Industries Ltd; Hiroshi Yasue, National institute of Agrobiological Sciences; Masahide Nishibori, Hiroshima University

P0043
Sequencing and Assembly Analysis of Goat’s Rumen Bacterial Metagenomes for the Discovery of Genes Involved in Important Biological Processes
Hui Li, Tennessee State University; Santosh Thepa, Tennessee State University; Suping Zhou, Tennessee State University; Alexander Ropelewski, Pittsburgh Supercomputing Center; Sarabjit Bhatti, Tennessee State University

P0045
Automated Detection and Subtyping of Avian Influenza Viruses
Oliver Lung, Canadian Food Inspection Agency

P0046
Use of Paramagnetic Particles for the Automated Purification of DNA from Cultured Cells and Mammalian Tissue
Chris Moreland, Promega Corporation

P1205
What Do We  Learn from Phenotyping Tools that Bridge the Gaps between the Lab and the World?
David M. Kramer, Michigan State Univeristy

P1211
Phenotyping in Green House : Opening the Possibilities with Phenoware Technology
Didier Neuzeret, Phenoware

P1212
PlantEye F500: Combine 3D and Multsipectral Information in One Sensor
Gregoire Hummel, Phenospex

P1213
New Tools for Automated Image-Based High-Throughput Phenotyping
Martin Trtílek, Photon Systems Instruments (PSI)

P1214
Phenokey Translates Your Phenotyping Needs into a Real World Solutions That Work
Bas van Eerdt, PhenoKey

P1220
MULTI-Scale Analysis of FIELD-Grown Sorghum Using RGB, Lidar, and Hyperspectral Imaging
Mitchell Tuinstra, Purdue University

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