Measurement of quality parameters in intact seeds of Brassica species using visible and near-infrared spectroscopy

Industrial Crops and Products

Volumn 32, Issue 2, 2010, Pages 139-146

  Petisco, C ^a   Garcia Criado B ^a   Vazquez de Aldana B R ^a   de Haro, A ^b   Garcia Ciudad A ^a  

^a INSTITUTO DE RECURSOS NATURALES Y AGROBIOLOGÍA DE SALAMANCA   (Spain)

^b INSTITUTO DE AGRICULTURA SOSTENIBLE   (Spain)

Author keywords

Ethiopian mustard; Oil; Protein; Rapeseed; Total glucosinolates

Indexed keywords

ACCURATE PREDICTION; BRASSICA; BRASSICA NAPUS; BRASSICA SPECIES; COEFFICIENT OF DETERMINATION; DATA PREPROCESSING; ETHIOPIAN MUSTARD; GLOBAL CALIBRATION; GLUCOSINOLATE CONTENTS; GLUCOSINOLATES; LABORATORY ANALYSIS; MODIFIED PARTIAL LEAST SQUARES; PRE-PROCESSING; PREDICTIVE PERFORMANCE; QUALITY EVALUATION; QUALITY PARAMETERS; REFERENCE DATA; SECOND DERIVATIVES; SINGLE SPECIES; SPECTRAL DATA; STANDARD DEVIATION; STANDARD ERROR OF PREDICTION; VALIDATION SETS; VISIBLE AND NEAR INFRARED; VISIBLE AND NEAR-INFRARED SPECTROSCOPY;

CALIBRATION; DATA PROCESSING; DERIVATIVES; INFRARED DEVICES; INFRARED SPECTROSCOPY; PLANTS (BOTANY); PROBABILITY DISTRIBUTIONS; PROTEINS; REGRESSION ANALYSIS;

QUALITY CONTROL;

CULTIVAR; DATABASE; HERB; NEAR INFRARED; PHYTOCHEMISTRY; PROTEIN; QUALITATIVE ANALYSIS; REGRESSION ANALYSIS; SEED; SPECTROSCOPY; STATISTICAL APPLICATION; VEGETABLE OIL; VISIBLE SPECTRUM;

BRASSICA; BRASSICA CARINATA; BRASSICA NAPUS;

CALIBRATION; CULTIVATION; DATA PROCESSING; DATABASE; FEASIBILITY STUDY; INFRARED RADIATION; MEASURING; PREDICTION; PROTEIN; QUALITY CONTROL; SEED; SPECTROSCOPY; STATISTICAL ANALYSIS;

EID: 77955682337     PISSN: 09266690     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.indcrop.2010.04.003     Document Type: Article

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