Waiting
Login processing...

Trial ends in Request Full Access Tell Your Colleague About Jove
Methods Collections

Methods and Applications for the Advancement of Plant Phenotyping

Just Started
Methods Collection Image
Methods Collections
Methods and Applications for the Advancement of Plant Phenotyping

Guest Editors
Nicky Creux

University of Pretoria, FABI, Department of Plant and Soil Sciences

Dr. Creux completed her PhD at the University of Pretoria in 2014 and focused on the molecular genetics of cellulose…

Collection Overview

Plant phenotyping is the cornerstone of crop selection or domestication and up until recently has been a laborious, manual task. Technological advancements have accelerated the development of high throughput, non-destructive automated or semi-automated plant phenotyping tools. Currently, modern plant phenotyping is a transdisciplinary field incorporating plant biology, chemistry, physics, engineering, mathematics, and computer science. Coupling the new phenotyping tools to genomic resources provides a powerful strategy for targeted breeding of different crop species. The rapid development of phenotyping tools using multiple sensors, UAVs, robotics, artificial intelligence, and computer vision has focused attention on ensuring protocols and systems are standardized for better data quality and repeatability. Many of these technologies have a high cost and are inaccessible to researchers or industries from lower-income regions, which has also driven the development of open access, and low-cost phenotyping protocols. This collection aims to provide a set of plant phenotyping protocols to contribute to the standardization of plant phenotyping methods for future research. We invite researchers to submit methods and applications related to plant and crop phenotyping in controlled or field environments and for data processing, modeling, or management. We hope to create a balanced collection representing methods and applications both for state-of-the-art and affordable open access phenotyping techniques.

Abstracts

Proximodistal age variation in Nicotiana benthamiana influences the plant hypersensitive response upon transient expression of effector transgenes

Trystan Nadasen*1
1Molecular Plant Pathogen Interaction group (MPPI), Forestry and Agricultural Biotechnology Institute (FABI), Faculty of Natural and Agricultural Sciences, University of Pretoria, Pretoria, South Africa

Get cutting-edge science videos from JoVE sent straight to your inbox every month.

Waiting X
Simple Hit Counter