000			02789nab|a22003617a|4500
001			64656
003			MX-TxCIM
005			20211203230300.0
008			191025s2021||||sz |||p|op||||00||0|eng|d
022			_a2071-1050
024	8		_ahttps://doi.org/10.3390/su132112005
040			_aMX-TxCIM
041			_aeng
100	1		_925633 _aCsákvári, E.
245	1	0	_aIs einkorn wheat (Triticum monococcum L.) a better choice than winter wheat (Triticum aestivum L.)? Wheat quality estimation for sustainable agriculture using vision-based digital image analysis
260			_aBasel (Switzerland) : _bMDPI, _c2021.
500			_aPeer review
500			_aOpen Access
520			_aEinkorn wheat (Triticum monococcum L. ssp. monococcum) plays an increasingly important role in agriculture, promoted by organic farming. Although the number of comparative studies about modern and ancient types of wheats is increasing, there are still some knowledge gaps about the nutritional and health benefit differences between ancient and modern bread wheats. The aim of the present study was to compare ancient, traditional and modern wheat cultivars—including a field study and a laboratory stress experiment using vision-based digital image analysis—and to assess the feasibility of imaging techniques. Our study shows that modern winter wheat had better yield and grain quality compared to einkorn wheats, but the latter were not far behind; thus the cultivation of various species could provide a diverse and sustainable agriculture which contributes to higher agrobiodiversity. The results also demonstrate that digital image analysis could be a viable alternate method for the real-time estimation of aboveground biomass and for predicting yield and grain quality parameters. Digital area outperformed other digital variables in biomass prediction in relation to drought stress, but height and Feret’s diameter better correlated with yield and grain quality parameters. Based on these results we suggest that the combination of various vision-based methods could improve the performance estimation of modern and ancient types of wheat in a non-destructive and real-time manner.
546			_aText in English
650		7	_2AGROVOC _98725 _aAgrobiodiversity
650		7	_2AGROVOC _921344 _aTriticum monococcum
650		7	_2AGROVOC _92104 _aWinter wheat
650		7	_2AGROVOC _99055 _aDigital Image Processing
650		7	_2AGROVOC _91897 _aBiomass
700	1		_aHalassy, M. _925634
700	1		_aEnyedi, A. _925635
700	1		_aGyulai, F. _925636
700	1		_aBerke, J. _925637
773	0		_gv. 13, no. 21, art. 12005 _dBasel (Switzerland) : MDPI, 2021. _x2071-1050 _tSustainability
856	4		_yClick here to access online _uhttps://doi.org/10.3390/su132112005
942			_cJA _n0 _2ddc
999			_c64656 _d64648