Evidence map›Paper›PMID 33520974›Full record

ReviewFrontiers in bioengineering and biotechnology2020

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

Daoliang Li, Chaoqun Quan, Zhaoyang Song, Xiang Li, Guanghui Yu, Cheng Li, Akhter Muhammad

Abstract readReview
In one paragraph

Review in Frontiers in bioengineering and biotechnology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 60 papers.

0numbers the graph read from it
0cells of the map it votes in
60citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

60 citing papers in PubMed.

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  11. Integration of crop modeling and sensing into molecular breeding for nutritional quality and stress tolerance.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2025
    Review
  12. A high-throughput pipeline for phenotyping, object detection and quantification of leaf trichomes.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2025
    Article
  13. Review
  14. Assessing and mining grain amaranth diversity for sustainable cropping systems.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2025
    Review
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Daoliang LiNational Innovation Center for Digital Fishery, China Agricultural University, Beijing, China.
Chaoqun QuanNational Innovation Center for Digital Fishery, China Agricultural University, Beijing, China.
Zhaoyang SongNational Innovation Center for Digital Fishery, China Agricultural University, Beijing, China.
Xiang LiDepartment of Psychology, College of Education, Hubei University, Wuhan, China.
Guanghui YuNational Innovation Center for Digital Fishery, China Agricultural University, Beijing, China.
Cheng LiNational Innovation Center for Digital Fishery, China Agricultural University, Beijing, China.
Akhter MuhammadNational Innovation Center for Digital Fishery, China Agricultural University, Beijing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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.

Indexed as

crop improvementhigh-throughputphenomicsphenotyping platformplant scienceremote sensingsensors

Identifiers

PMID33520974
PMCPMC7838587

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.