Comparison of high-throughput plant phenotyping (HTPP) approaches to measure radiation use efficiency, a critical trait for improving yields in future

The models have major implications for breeding; improving C fixation through RUE drives increased yields. Remote sensing models cannot replace ground truth data, but can considerably reduce the amount of time and resources spent, especially on big trials where hundreds of lines could be screened in...

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Main Author: CGIAR Research Program on Wheat
Format: Informe técnico
Language:Inglés
Published: 2021
Subjects:
Online Access:https://hdl.handle.net/10568/122626
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author CGIAR Research Program on Wheat
author_browse CGIAR Research Program on Wheat
author_facet CGIAR Research Program on Wheat
author_sort CGIAR Research Program on Wheat
collection Repository of Agricultural Research Outputs (CGSpace)
description The models have major implications for breeding; improving C fixation through RUE drives increased yields. Remote sensing models cannot replace ground truth data, but can considerably reduce the amount of time and resources spent, especially on big trials where hundreds of lines could be screened in a matter of hours.
format Informe técnico
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institution CGIAR Consortium
language Inglés
publishDate 2021
publishDateRange 2021
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spelling CGSpace1226262023-03-14T12:23:07Z Comparison of high-throughput plant phenotyping (HTPP) approaches to measure radiation use efficiency, a critical trait for improving yields in future CGIAR Research Program on Wheat models yields breeding remote sensing development rural development data plants resources efficiency systems agrifood systems plant time approaches trials use efficiency radiation measure The models have major implications for breeding; improving C fixation through RUE drives increased yields. Remote sensing models cannot replace ground truth data, but can considerably reduce the amount of time and resources spent, especially on big trials where hundreds of lines could be screened in a matter of hours. 2021-12-31 2022-10-06T14:03:09Z 2022-10-06T14:03:09Z Report https://hdl.handle.net/10568/122626 en Open Access application/pdf CGIAR Research Program on Wheat. 2021. Comparison of high-throughput plant phenotyping (HTPP) approaches to measure radiation use efficiency, a critical trait for improving yields in future. Reported in Wheat Annual Report 2021. Innovations.
spellingShingle models
yields
breeding
remote sensing
development
rural development
data
plants
resources
efficiency
systems
agrifood systems
plant
time
approaches
trials
use efficiency
radiation
measure
CGIAR Research Program on Wheat
Comparison of high-throughput plant phenotyping (HTPP) approaches to measure radiation use efficiency, a critical trait for improving yields in future
title Comparison of high-throughput plant phenotyping (HTPP) approaches to measure radiation use efficiency, a critical trait for improving yields in future
title_full Comparison of high-throughput plant phenotyping (HTPP) approaches to measure radiation use efficiency, a critical trait for improving yields in future
title_fullStr Comparison of high-throughput plant phenotyping (HTPP) approaches to measure radiation use efficiency, a critical trait for improving yields in future
title_full_unstemmed Comparison of high-throughput plant phenotyping (HTPP) approaches to measure radiation use efficiency, a critical trait for improving yields in future
title_short Comparison of high-throughput plant phenotyping (HTPP) approaches to measure radiation use efficiency, a critical trait for improving yields in future
title_sort comparison of high throughput plant phenotyping htpp approaches to measure radiation use efficiency a critical trait for improving yields in future
topic models
yields
breeding
remote sensing
development
rural development
data
plants
resources
efficiency
systems
agrifood systems
plant
time
approaches
trials
use efficiency
radiation
measure
url https://hdl.handle.net/10568/122626
work_keys_str_mv AT cgiarresearchprogramonwheat comparisonofhighthroughputplantphenotypinghtppapproachestomeasureradiationuseefficiencyacriticaltraitforimprovingyieldsinfuture