000			00595nab|a22002177a|4500
999			_c62177 _d62169
001			62177
003			MX-TxCIM
005			20200703202154.0
008			200628s2020||||ne |||p|op||||00||0|eng|d
022			_a0030-4026
024	8		_ahttps://doi.org/10.1016/j.ijleo.2020.165128
040			_aMX-TxCIM
041			_aeng
100	0		_aQuannu Yang _914554
245	1		_aQuantifying soluble sugar in super sweet corn using near-infrared spectroscopy combined with chemometrics
260			_aAmsterdam (Netherlands) : _bElsevier, _c2020.
500			_aPeer review
520			_aSoluble sugar content is a key factor affecting super sweet corn quality, making the development of a rapid, simple, and environmentally friendly method for measuring soluble sugar content significant for successful breeding. The near-infrared (NIR) spectra of 131 sets of super sweet corn kernels with different soluble sugar contents (5.57?45.35 mg/g) were collected and preprocessed using multiple scattering correction (MSC), standard normal variate (SNV) transformation, and first and second derivatives. The first derivative spectrum, which gave the best preprocessing result, was used to construct the synergy interval partial least squares (Si-PLS) model. The PLS model developed using the 1349?1513 nm, 1842?2005 nm, 2005?2168 nm, and 2337?2500 nm wavebands gave the best result: root mean square error of the prediction set (RMSEP) =6.9199 mg/g and correlation coefficient of the prediction set (RP) = 0.7695. A competitive adaptive reweighted sampling (CARS)-Si-PLS wavelength screening algorithm was used to improve the predictive accuracy of the model further (RMSEP =5.8292 mg/g and RP = 0.8431). Compared to the original spectrum, the optimized model using CARS-SI-PLS is more concise and robust, confirming the ability of NIR spectroscopy to accurately measure soluble sugar content in super sweet corn.
546			_aText in English
591			_aXinhao Yang : Not in IRS Staff list but CIMMYT Affiliation
591			_aHan Song : Not in IRS Staff list but CIMMYT Affiliation
591			_aFurong Huang : Not in IRS Staff list but CIMMYT Affiliation
650		7	_2AGROVOC _96179 _aInfrared spectrophotometry
650		7	_2AGROVOC _910976 _aSweet corn
650		7	_2AGROVOC _91281 _aSugars
650		7	_2AGROVOC _94749 _aSelection
700	0		_aXinhao Yang _914555
700	0		_aQianling Zhang _914556
700	0		_aYunbo Wang _914557
700	0		_aHan Song _914558
700	0		_aFurong Huang _914559
773	0		_tOptik _gv. 220, art. 165128 _dAmsterdam (Netherlands) : Elsevier, 2020. _x0030-4026
942			_cJA _n0 _2ddc