000 | 03037nab|a22004337a|4500 | ||
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001 | 64665 | ||
003 | MX-TxCIM | ||
005 | 20240919021232.0 | ||
008 | 202202s2022||||ne |||p|op||||00||0|eng|d | ||
022 | _a0378-4290 | ||
024 | 8 | _ahttps://doi.org/10.1016/j.fcr.2021.108371 | |
040 | _aMX-TxCIM | ||
041 | _aeng | ||
100 | 1 |
_aMorisse, M. _925686 |
|
245 | 1 | 2 | _aA European perspective on opportunities and demands for field-based crop phenotyping |
260 |
_aAmsterdam (Netherlands) : _bElsevier, _c2022. |
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500 | _aPeer review | ||
500 | _aOpen Access | ||
520 | _aThe challenges of securing future food security will require deployment of innovative technologies to accelerate crop production. Plant phenotyping methods have advanced significantly, spanning low-cost hand-held devices to large-scale satellite imaging. Field-based phenotyping aims to capture plant response to the environment, generating data that can be used to inform breeding and selection requirements. This in turn requires access to multiple representative locations and capacities for collecting useful information. In this paper we identify the current challenges in access to field phenotyping in multiple locations in Europe based on stakeholder feedback. We present a map of current infrastructure and propose opportunities for greater integration of existing facilities for meeting different user requirements. We also review the currently available technology and data requirements for effective multi-location field phenotyping and provide recommendations for ensuring future access and co-ordination. Taken together we provide an overview of the current status of European field phenotyping capabilities and provides a roadmap for their future use to support crop improvement. This provides a wider framework for the analysis and planning of field phenotyping activities for crop improvement worldwide. | ||
546 | _aText in English | ||
650 | 7 |
_aFood security _2AGROVOC _91118 |
|
650 | 7 |
_aPhenotypes _2AGROVOC _93634 |
|
650 | 7 |
_aRemote sensing _2AGROVOC _91986 |
|
650 | 7 |
_aPlant breeding _gAGROVOC _2 _91203 |
|
700 | 1 |
_aWells, D.M. _910089 |
|
700 | 1 |
_aMillet, E.J. _915445 |
|
700 | 1 |
_aLillemo, M. _91659 |
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700 | 1 |
_aFahrner, S. _925687 |
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700 | 1 |
_aCellini, F. _925688 |
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700 | 1 |
_aLootens, P. _925689 |
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700 | 1 |
_aMuller, O. _918962 |
|
700 | 1 |
_aHerrera, J.M. _9118 |
|
700 | 1 |
_aBentley, A.R. _8001712492 _gFormerly Global Wheat Program _99599 |
|
700 | 1 |
_aJanni, M. _913885 |
|
773 | 0 |
_tField Crops Research _gv. 276, art. 108371 _dAmsterdam (Netherlands) : Elsevier, 2022. _x0378-4290 _wG444314 |
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856 | 4 |
_yOpen Access through DSpace _uhttps://hdl.handle.net/10883/21761 |
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942 |
_cJA _n0 _2ddc |
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999 |
_c64665 _d64657 |