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      Development and Validation of Methodology for Estimating Potato Canopy Structure for Field Crop Phenotyping and Improved Breeding

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          Abstract

          Traditional phenotyping techniques have long been a bottleneck in breeding programs and genotype- phenotype association studies in potato, as these methods are labor-intensive and time consuming. In addition, depending on the trait measured and metric adopted, they suffer from varying degrees of user bias and inaccuracy, and hence these challenges have effectively prevented the execution of large-scale population-based field studies. This is true not only for commercial traits (e.g., yield, tuber size, and shape), but also for traits strongly associated with plant performance (e.g., canopy development, canopy architecture, and growth rates). This study demonstrates how the use of point cloud data obtained from low-cost UAV imaging can be used to create 3D surface models of the plant canopy, from which detailed and accurate data on plant height and its distribution, canopy ground cover and canopy volume can be obtained over the growing season. Comparison of the canopy datasets at different temporal points enabled the identification of distinct patterns of canopy development, including different patterns of growth, plant lodging, maturity and senescence. Three varieties are presented as exemplars. Variety Nadine presented the growth pattern of an early maturing variety, showing rapid initial growth followed by rapid onset of senescence and plant death. Varieties Bonnie and Bounty presented the pattern of intermediate to late maturing varieties, with Bonnie also showing early canopy lodging. The methodological approach used in this study may alleviate one of the current bottlenecks in the study of plant development, paving the way for an expansion in the scale of future genotype-phenotype association studies.

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              Thermal and Narrowband Multispectral Remote Sensing for Vegetation Monitoring From an Unmanned Aerial Vehicle

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                Author and article information

                Contributors
                Journal
                Front Plant Sci
                Front Plant Sci
                Front. Plant Sci.
                Frontiers in Plant Science
                Frontiers Media S.A.
                1664-462X
                10 February 2021
                2021
                : 12
                : 612843
                Affiliations
                [1] 1School of Natural Environmental Sciences, Newcastle University , Newcastle upon Tyne, United Kingdom
                [2] 2Survey Solutions Scotland , Edinburgh, United Kingdom
                [3] 3The James Hutton Institute , Dundee, United Kingdom
                [4] 4School of Biosciences, University of Birmingham , Birmingham, United Kingdom
                Author notes

                Edited by: Shawn Carlisle Kefauver, University of Barcelona, Spain

                Reviewed by: Wei Guo, The University of Tokyo, Japan; Omar Vergara-Diaz, University of Barcelona, Spain

                *Correspondence: Ankush Prashar, ankush.prashar@ 123456newcastle.ac.uk

                This article was submitted to Technical Advances in Plant Science, a section of the journal Frontiers in Plant Science

                Article
                10.3389/fpls.2021.612843
                7902928
                631553dd-22a3-49b7-9a58-dea140da6d27
                Copyright © 2021 de Jesus Colwell, Souter, Bryan, Compton, Boonham and Prashar.

                This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

                History
                : 08 October 2020
                : 19 January 2021
                Page count
                Figures: 9, Tables: 1, Equations: 0, References: 60, Pages: 16, Words: 0
                Categories
                Plant Science
                Original Research

                Plant science & Botany
                high throughput phenotyping,plant breeding,unmanned aerial vehicles,canopy structure,potato,crop growth and development,crop surface models

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