Evidence map›Paper›PMID 31737010›Full record

ArticleFrontiers in plant science2019

Using Sensors and Unmanned Aircraft Systems for High-Throughput Phenotyping of Biomass in Perennial Ryegrass Breeding Trials.

Junping Wang, Pieter Badenhorst, Andrew Phelan, Luke Pembleton, Fan Shi, Noel Cogan, German Spangenberg, Kevin Smith

Abstract read
In one paragraph

Article in Frontiers in plant science, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Article
  2. Estimation of ryegrass (Frontiers in plant science · 2025
    Article
  3. Article
  4. Article
  5. Article
  6. Review
  7. Article
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

8 authors.

Junping WangAgriculture Victoria Research, Hamilton, VIC, Australia.
Pieter BadenhorstAgriculture Victoria Research, Hamilton, VIC, Australia.
Andrew PhelanAgriculture Victoria Research, Hamilton, VIC, Australia.
Luke PembletonAgriculture Victoria Research, AgriBio, Bundoora, VIC, Australia.
Fan ShiAgriculture Victoria Research, AgriBio, Bundoora, VIC, Australia.
Noel CoganAgriculture Victoria Research, AgriBio, Bundoora, VIC, Australia.
German SpangenbergAgriculture Victoria Research, AgriBio, Bundoora, VIC, Australia.
Kevin SmithAgriculture Victoria Research, Hamilton, VIC, Australia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Increasing herbage biomass is the predominant objective for pasture plant breeding programs. Three types of field trials are commonly involved during forage plant breeding, i.e., individually spaced plants, row plot, and sward trials. Assessments of biomass production at individual plant, row plot, and sward plot levels are through visual scoring and/or cutting of biomass manually or mechanically. Both visual scoring and cutting of plants are laborious, time consuming, and costly. The development of sensor technology such as multispectral sensors and unmanned aircraft systems (UAS) provide the opportunity to accelerate the process of biomass evaluation and to increase throughput, improve resolution, and reduce time and cost. We tested either the handheld Trimble GreenSeeker

Indexed as

biomassLolium perennenormalized difference vegetation indexperennial ryegrasssensorunmanned aerial vehicle

Identifiers

PMID31737010
PMCPMC6831741

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.