000			02192nab a22003497a 4500
001			G98199
003			MX-TxCIM
005			20240919021149.0
008			220426s2013 ne |||p|op||| 00| 0 eng d
022			_a1360-1385
024	8		_ahttps://doi.org/10.1016/j.tplants.2013.09.008
040			_aMX-TxCIM
041			_aeng
090			_aCIS-7357
100	1		_91436 _aAraus, J.L.
245	1	0	_aField high-throughput phenotyping : _bthe new crop breeding frontier
260			_aAmsterdam (Netherlands) : _bElsevier, _c2013.
500			_aPeer review
520			_aConstraints in field phenotyping capability limit our ability to dissect the genetics of quantitative traits, particularly those related to yield and stress tolerance (e.g., yield potential as well as increased drought, heat tolerance, and nutrient efficiency, etc.). The development of effective field-based high-throughput phenotyping platforms (HTPPs) remains a bottleneck for future breeding advances. However, progress in sensors, aeronautics, and high-performance computing are paving the way. Here, we review recent advances in field HTPPs, which should combine at an affordable cost, high capacity for data recording, scoring and processing, and non-invasive remote sensing methods, together with automated environmental data collection. Laboratory analyses of key plant parts may complement direct phenotyping under field conditions. Improvements in user-friendly data management together with a more powerful interpretation of results should increase the use of field HTPPs, therefore increasing the efficiency of crop genetic improvement to meet the needs of future generations.
536			_aGlobal Maize Program
546			_aText in English
591			_aCIMMYT Informa No. 1867
594			_aINT2948
595			_aCSC
650		7	_aPlant breeding _gAGROVOC _2 _91203
650		7	_aPhenotypes _93634 _2AGROVOC
650		7	_91986 _aRemote sensing _2AGROVOC
650		7	_91277 _aStress _2AGROVOC
700	1		_9879 _aCairns, J.E. _gGlobal Maize Program _8INT2948
773	0		_tTrends in Plant Science _gv. 19, no. 1, p. 52-61 _dAmsterdam (Netherlands) : Elsevier, 2013. _wG93809 _x0168-9525
942			_cJA _2ddc _n0
999			_c30168 _d30168