Advances in Plant Phenotyping for More Sustainable Crop Production

Dr Achim Walter is Professor of Crop Science and Head of the Crop Sciences Group in the Department of Environmental Systems Science in the Institute of Agricultural Sciences in ETH Zurich, Switzerland. Professor Walter is a member of the scientific advisory boards of several national and international agricultural research institutions. He is internationally-renowned for his research in image-based phenotyping of plant shoots and roots.Roland Pieruschka is currently a plant scientist at the Forschungszentrum Jülich, IBG2: Plant Sciences after his PhD at the University of Düsseldorf and Postdoc at the Carnegie Institution in Stanford. He has been interested in physiological concepts and plant-environment interactions, particularly plant phenotyping, which he combines with establishment and coordination of international plant phenotyping research infrastructures (EMPHASIS), research infrastructure projects (EPPN, EPPN2020), international networks (IPPN). Dr Stefan Gerth is Head of the Application Specific Methods and System department within the Fraunhofer Development Center for X-ray technology in Germany. His main focus is the visualization and quantification of below ground organs like roots or tubers using non-destructive methods. Professor Malcolm Hawkesford is head of the Plant Sciences Department at Rothamsted Research and leads the Institutes contribution to the UK Designing Future Wheat strategic research programme. He is a Honorary Professor in Plant Sciences in the School of Biosciences, University of Nottingham. He is an investigator on multiple international programmes with Brazil and India, is a lead investigator in the Defra-funded Wheat Genetic Improvement Network, participates in multiple BBSRC-funded projects aimed at optimizing resource use in wheat and is the lead scientist for major wheat GMO field experiments at Rothamsted. He is chair of the Nutrient Use Efficiency Expert Working Group of the International Wheat Initiative.

• Part 1 The development of phenotyping as a research field1.Origins and drivers of crop phenotyping: Roland Pieruschka and Ulrich Schurr, Institute for Bio- and Geosciences (IBG), IBG-2: Plant Sciences, Forschungszentrum Jülich, Germany; 2.The evolution of trait selection in breeding: from seeing to remote sensing: Matthew Reynolds, Francisco Pinto, Liana Acevedo, Francisco J. Pinera-Chavez, and Carolina Rivera-Amado, International Maize and Wheat Improvement Center (CIMMYT), Mexico;Part 2 Sensor types3.Advances in optical analysis for crop phenotyping: Jian Jin and Tanzeel U. Rehman, Purdue University, USA; and Qin Zhang, Washington State University, USA; 4.Advances in the use of thermography in crop phenotyping: David M. Deery, CSIRO Agriculture and Food, Australia; 5.Advances in the use of X-ray computed tomography in crop phenotyping: Stefan Gerth, Norman Uhlmann and Michael Salamon, Fraunhofer EZRT, Germany;Part 3 Carrier/delivery systems 6.Field robots for plant phenotyping: Rick van de Zedde, Wageningen University and Research, The Netherlands; and Lili Yao, Visiting Researcher – Wageningen University and Research, The Netherlands; 7.Advances in the use of aerial systems/UAVs for crop phenotyping as examples for lean, low-cost, high-throughput field crop phenotyping systems: Helge Aasen, Institute of Agricultural Sciences, ETH Zurich and Remote Sensing Team, Division of Agroecology and Environment, Agroscope, Switzerland; and Lukas Roth, Institute of Agricultural Sciences, ETH Zurich, Switzerland;Part 4 Data analysis8.Meeting computer vision and machine learning challenges in crop phenotyping: Hanno Scharr, Institute of Bio- and Geosciences: Plant Sciences (IBG-2) and Institute for Advanced Simulation: Data Analytics and Machine Learning (IAS-8), Forschungszentrum Jülich, Germany; and Sotirios A. Tsaftaris, The University of Edinburgh and Alan Turing Institute, UK; 9.Digital phenotyping and genotype-to-phenotype (G2P) models to predict complex traits in cereal crops: Nicolas Virlet, Rothamsted Research, UK; Danilo H. Lyra, Biometrics and Breeding Research, BASF, Belgium; and Malcolm J. Hawkesford, Rothamsted Research, UK; 10.The role of crop growth models in crop improvement: integrating phenomics, envirotyping and genomic prediction: Jana Kholová, International Crops Research Institute for the Semi-Arid Tropics (ICRISAT), India; Amir Hajjarpoor, UMR DIADE, Université de Montpellier, Institut de Recherche pour le Développement (IRD), France; Vincent Garin, International Crops Research Institute for the Semi-Arid Tropics (ICRISAT), Mali; William Nelson, Gottingen University, Germany; Madina Diacoumba, International Crops Research Institute for the Semi-Arid Tropics (ICRISAT), Mali; Carlos D. Messina, Pioneer Hi-Bred International, USA; Graeme L. Hammer, Queensland Alliance for Agriculture and Food Innovation - The University of Queensland, Australia; Yunbi Xu, Chinese Academy of Agricultural Sciences, China and International Maize and Wheat Improvement Center (CIMMYT), Mexico; Milan O. Urban, International Center for Tropical Agriculture (CIAT), Colombia; and Jan Jarolímek, Czech University of Life Sciences (CZU), Czech Republic;Part 5 Case studies11.Using phenotyping techniques to analyse crop functionality and photosynthesis: Eva Rosenqvist, University of Copenhagen, Denmark; 12.Using phenotyping techniques to predict and model grain yield: translating phenotyping into genetic gain: Thomas Vatter and José L. Araus, University of Barcelona and AGROTECNIO (Center for Research in Agrotechnology), Spain; 13.Automated assessment of plant diseases and traits by sensors: how can digital technologies support smart farming and plant breeding?: Anne-Katrin Mahlein, Institute of Sugar Beet Research, Germany; Jan Behmann, Bayer Crop Science, Germany; David Bohnenkamp, BASF Digital Farming GmbH, Germany; René H. J. Heim, UAV Research Centre (URC), Ghent University, Belgium; and Sebastian Streit and Stefan Paulus, Institute of Sugar Beet Research, Germany;

“Compared to other books that primarily focus on plant phenotyping applications, this book provides an in-depth analysis of plant traits and the critical needs for high throughput phenotyping. In addition, the book is the result of collaborative contributions of broad participation from well-recognized international institutions in plant phenotyping. Chapter authors consist of experts in the area with good records in research publications and outstanding achievements. The book provides in-depth discussion and insights on plant phenotyping technologies and their applications while also giving a broad overview of the challenges and perspectives in research and applications. In summary, this book is a great reference for beginner and expert readers to learn and expand their knowledge about plant phenotyping technologies. It is particularly helpful to readers with no breeding background to explore in-depth information about the origins, concepts, and insights of plant phenotyping in a systematic way.” (Book Review Published in Computers and Electronics in Agriculture – Dr Jianfeng Zhou, University of Missouri, Columbia)