Professor of Plant Pathology; Expert Horizon2020; Wheat, Barley; Puccinia, Blumeria; Molecular markers; IPM
RT: Lee Hickey - Our article “Satellite-enabled enviromics to enhance crop improvement” features on the cover of the new issue of Molecular Plant! 🌾 🌎 🛰️ Check it out here: https://lnkd.in/gEzHHjd8 Congrats to the whole team, and thanks to Rafael Tassinari Resende and Yunbi Xu for leading the way! Lee Hickey Cibele H. Amaral Lucas L. Peixoto Gustavo E. Marcatti Yunbi Xu Abstract Enviromics refers to the characterization of micro- and macroenvironments based on large-scale environmental datasets. By providing genotypic recommendations with predictive extrapolation at a site-specific level, enviromics could inform plant breeding decisions across varying conditions and anticipate productivity in a changing climate. Enviromics-based integration of statistics, envirotyping (i.e., determining environmental factors), and remote sensing could help unravel the complex interplay of genetics, environment, and management. To support this goal, exhaustive envirotyping to generate precise environmental profiles would significantly improve predictions of genotype performance and genetic gain in crops. Already, informatics management platforms aggregate diverse environmental datasets obtained using optical, thermal, radar, and light detection and ranging (LiDAR)sensors that capture detailed information about vegetation, surface structure, and terrain. This wealth of information, coupled with freely available climate data, fuels innovative enviromics research. While enviromics holds immense potential for breeding, a few obstacles remain, such as the need for (1) integrative methodologies to systematically collect field data to scale and expand observations across the landscape with satellite data; (2) state-of-the-art AI models for data integration, simulation, and prediction; (3) cyberinfrastructure for processing big data across scales and providing seamless interfaces to deliver forecasts to stakeholders; and (4) collaboration and data sharing among farmers, breeders, physiologists, geoinformatics experts, and programmers across research institutions. Overcoming these challenges is essential for leveraging the full potential of big data captured by satellites to transform 21st century agriculture and crop improvement through enviromics. envirotyping, precision breeding, genotype–environment interactions, remote sensing, predictive models, enviromic information
Professor in Plant Breeding and Genetics at The University of Queensland, ARC Future Fellow, Director of the ARC Training Centre in Predictive Breeding
Our article “Satellite-enabled enviromics to enhance crop improvement” features on the cover of the new issue of Molecular Plant! 🌾 🌎 🛰️ Check it out here: https://lnkd.in/gEzHHjd8 Congrats to the whole team, and thanks to Rafael Tassinari Resende and Yunbi Xu for leading the way!
