Using Sensors and Unmanned Aircraft Systems for High-Throughput Phenotyping of Biomass in Perennial Ryegrass Breeding Trials.
Lolium perenne
biomass
normalized difference vegetation index
perennial ryegrass
sensor
unmanned aerial vehicle
Journal
Frontiers in plant science
ISSN: 1664-462X
Titre abrégé: Front Plant Sci
Pays: Switzerland
ID NLM: 101568200
Informations de publication
Date de publication:
2019
2019
Historique:
received:
23
04
2019
accepted:
07
10
2019
entrez:
19
11
2019
pubmed:
19
11
2019
medline:
19
11
2019
Statut:
epublish
Résumé
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
Identifiants
pubmed: 31737010
doi: 10.3389/fpls.2019.01381
pmc: PMC6831741
doi:
Types de publication
Journal Article
Langues
eng
Pagination
1381Informations de copyright
Copyright © 2019 Wang, Badenhorst, Phelan, Pembleton, Shi, Cogan, Spangenberg and Smith.
Références
PLoS One. 2016 Jul 29;11(7):e0159781
pubmed: 27472222
Trends Ecol Evol. 2005 Sep;20(9):503-10
pubmed: 16701427
Curr Opin Plant Biol. 2015 Apr;24:93-9
pubmed: 25733069
Sensors (Basel). 2012;12(6):7529-47
pubmed: 22969359
Front Plant Sci. 2017 Sep 27;8:1681
pubmed: 29021803
Sensors (Basel). 2017 Oct 08;17(10):
pubmed: 28991192
Sci Rep. 2013;3:2442
pubmed: 23942574
Int J Environ Res Public Health. 2010 Sep;7(9):3513-30
pubmed: 20948940