title: An application of linear regression technique for predicting bulgur yield and quality of wheat cultivars.
abstract: Grains of 26 Turkish wheat cultivars and advanced breeding lines were used in this study. Simple correlations between a number of quality parameters to predict bulgur yield and bulgur cooking quality were determined. Highly significant correlations between bulgur yield and each of the thousand-kernel weight and the sum of the grain over 2.8 + 2.5 mm sieves were obtained for both durum and bread wheat samples (p < 0.01). The regression equations showed that the models involving two variables (the thousand-kernel weight and the thickness of the grain for durum wheat samples; the thousand-kernel weight and the length of the grain for bread wheat samples) resulted in the highest R2 values. For an assessment of the influence of all factors on bulgur cooking properties (total organic matter: TOM and colorimetric test values), simple and multiple regression analyses were used to find equations that predict best the relationship between various quality parameters and bulgur cooking properties. The models involving two variables; the vitreousness and the dry gluten contents for the durum wheat samples and SDS sedimentation test value and wheat protein content for the bread wheat samples resulted in the highest R2 for the TOM value.
authors.affiliation: Hacettepe University, Faculty of Engineering, Department of Food Engineerng, Beytepe Campus, TR-06532 Ankara, Turkey.
authors.forename: O
authors.initials: O
authors.lastname: Ozboy
authors.forename: H
authors.initials: H
authors.lastname: Köksel
mesh_terms: D003296:Cooking; D004044:Dietary Proteins / Q000032:analysis*; D005511:Food Handling / Q000379:methods; D005983:Glutens / Q000032:analysis; D016014:Linear Models; D010316:Particle Size; D011786:Quality Control; D014908:Triticum / Q000235:genetics / Q000592:standards*
chemical_list: D004044:Dietary Proteins; D005983:Glutens