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      High-Throughput Plant Phenotyping Platform (HT3P) as a Novel Tool for Estimating Agronomic Traits From the Lab to the Field

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          Abstract

          Food scarcity, population growth, and global climate change have propelled crop yield growth driven by high-throughput phenotyping into the era of big data. However, access to large-scale phenotypic data has now become a critical barrier that phenomics urgently must overcome. Fortunately, the high-throughput plant phenotyping platform (HT3P), employing advanced sensors and data collection systems, can take full advantage of non-destructive and high-throughput methods to monitor, quantify, and evaluate specific phenotypes for large-scale agricultural experiments, and it can effectively perform phenotypic tasks that traditional phenotyping could not do. In this way, HT3Ps are novel and powerful tools, for which various commercial, customized, and even self-developed ones have been recently introduced in rising numbers. Here, we review these HT3Ps in nearly 7 years from greenhouses and growth chambers to the field, and from ground-based proximal phenotyping to aerial large-scale remote sensing. Platform configurations, novelties, operating modes, current developments, as well the strengths and weaknesses of diverse types of HT3Ps are thoroughly and clearly described. Then, miscellaneous combinations of HT3Ps for comparative validation and comprehensive analysis are systematically present, for the first time. Finally, we consider current phenotypic challenges and provide fresh perspectives on future development trends of HT3Ps. This review aims to provide ideas, thoughts, and insights for the optimal selection, exploitation, and utilization of HT3Ps, and thereby pave the way to break through current phenotyping bottlenecks in botany.

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          Most cited references141

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          Analysis of the genome sequence of the flowering plant Arabidopsis thaliana

          The flowering plant Arabidopsis thaliana is an important model system for identifying genes and determining their functions. Here we report the analysis of the genomic sequence of Arabidopsis. The sequenced regions cover 115.4 megabases of the 125-megabase genome and extend into centromeric regions. The evolution of Arabidopsis involved a whole-genome duplication, followed by subsequent gene loss and extensive local gene duplications, giving rise to a dynamic genome enriched by lateral gene transfer from a cyanobacterial-like ancestor of the plastid. The genome contains 25,498 genes encoding proteins from 11,000 families, similar to the functional diversity of Drosophila and Caenorhabditis elegans--the other sequenced multicellular eukaryotes. Arabidopsis has many families of new proteins but also lacks several common protein families, indicating that the sets of common proteins have undergone differential expansion and contraction in the three multicellular eukaryotes. This is the first complete genome sequence of a plant and provides the foundations for more comprehensive comparison of conserved processes in all eukaryotes, identifying a wide range of plant-specific gene functions and establishing rapid systematic ways to identify genes for crop improvement.
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            Meta-analysis and the science of research synthesis

            Meta-analysis is the quantitative, scientific synthesis of research results. Since the term and modern approaches to research synthesis were first introduced in the 1970s, meta-analysis has had a revolutionary effect in many scientific fields, helping to establish evidence-based practice and to resolve seemingly contradictory research outcomes. At the same time, its implementation has engendered criticism and controversy, in some cases general and others specific to particular disciplines. Here we take the opportunity provided by the recent fortieth anniversary of meta-analysis to reflect on the accomplishments, limitations, recent advances and directions for future developments in the field of research synthesis.
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              Breeding crops to feed 10 billion

              Crop improvements can help us to meet the challenge of feeding a population of 10 billion, but can we breed better varieties fast enough? Technologies such as genotyping, marker-assisted selection, high-throughput phenotyping, genome editing, genomic selection and de novo domestication could be galvanized by using speed breeding to enable plant breeders to keep pace with a changing environment and ever-increasing human population.
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                Author and article information

                Contributors
                Journal
                Front Bioeng Biotechnol
                Front Bioeng Biotechnol
                Front. Bioeng. Biotechnol.
                Frontiers in Bioengineering and Biotechnology
                Frontiers Media S.A.
                2296-4185
                13 January 2021
                2020
                : 8
                : 623705
                Affiliations
                [1] 1National Innovation Center for Digital Fishery, China Agricultural University , Beijing, China
                [2] 2Beijing Engineering and Technology Research Centre for Internet of Things in Agriculture, China Agricultural University , Beijing, China
                [3] 3China-EU Center for Information and Communication Technologies in Agriculture, China Agriculture University , Beijing, China
                [4] 4Key Laboratory of Agriculture Information Acquisition Technology, Ministry of Agriculture, China Agricultural University , Beijing, China
                [5] 5College of Information and Electrical Engineering, China Agricultural University , Beijing, China
                [6] 6Department of Psychology , College of Education, Hubei University, Wuhan, China
                Author notes

                Edited by: Fang-Hao Wan, Chinese Academy of Agricultural Sciences, China

                Reviewed by: Yu Jiang, Cornell University, United States; Haiyan Cen, Zhejiang University, China

                *Correspondence: Daoliang Li dliangl@ 123456cau.edu.cn

                This article was submitted to Biosafety and Biosecurity, a section of the journal Frontiers in Bioengineering and Biotechnology

                Article
                10.3389/fbioe.2020.623705
                7838587
                33520974
                837074cd-7ffe-4b6b-975e-b1d62386ce77
                Copyright © 2021 Li, Quan, Song, Li, Yu, Li and Muhammad.

                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
                : 30 October 2020
                : 15 December 2020
                Page count
                Figures: 4, Tables: 6, Equations: 0, References: 141, Pages: 24, Words: 18010
                Categories
                Bioengineering and Biotechnology
                Review

                crop improvement,high-throughput,phenomics,phenotyping platform,plant science,remote sensing,sensors

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