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Statistical analysis of wheat under different seed treatments: development of a discriminative model based on physicochemical and rheological properties.
Molotto, Luiz Antonio; Scheres Firak, Daniele; Lagner da Silveira Estevão, Priscila; Boger, Beatriz; Nagata, Noemi; Peralta-Zamora, Patricio; Garabeli Trojan, Daiane.
Affiliation
  • Molotto LA; Campos Gerais Higher Education Center (CESCAGE), School Farm, Ponta Grossa, PR, Brazil.
  • Scheres Firak D; Federal University of Paraná (UFPR), Chemistry Department, Curitiba, PR, Brazil.
  • Lagner da Silveira Estevão P; Federal University of Paraná (UFPR), Chemistry Department, Curitiba, PR, Brazil.
  • Boger B; Federal University of Paraná (UFPR), Chemistry Department, Curitiba, PR, Brazil.
  • Nagata N; Federal University of Paraná (UFPR), Chemistry Department, Curitiba, PR, Brazil.
  • Peralta-Zamora P; Federal University of Paraná (UFPR), Chemistry Department, Curitiba, PR, Brazil.
  • Garabeli Trojan D; Campos Gerais Higher Education Center (CESCAGE), School Farm, Ponta Grossa, PR, Brazil.
J Sci Food Agric ; 98(8): 3084-3088, 2018 Jun.
Article in En | MEDLINE | ID: mdl-29205367
BACKGROUND: Quality control in the wheat industry comprises numerous analyses that are time-consuming and demand numerous procedures and specific apparatus. The application of multivariate calibration techniques contributes to the interpretation of the data generated during these analyses. The present study aimed to correlate a representative number of wheat properties with the treatment applied to the wheat seeds using multivariate calibration techniques. RESULTS: In the present study, a wheat pilot planting experiment applying different fungicides combination as a seed treatment (carbendazim, carbendazim + thiram, carboxin + thiram, and triadimenol) was conducted. The resulting wheat grains were subjected to 33 analyses routinely performed in industry. A principal components analysis indicated all analyses were relevant for the different seed treatment discrimination. Afterwards, a k-nearest neighbors discriminative model was developed and was able to classify the seed treatments. In accordance with this model, the most relevant variables for the seed treatment discrimination were the rheological properties of the dough. CONCLUSION: It was possible to develop a discriminative model that directly correlated the wheat seed treatment with the properties of the resulting grains and flours. © 2017 Society of Chemical Industry.
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Seeds / Triticum / Fungicides, Industrial Type of study: Prognostic_studies Language: En Journal: J Sci Food Agric Year: 2018 Document type: Article Affiliation country: Brazil Country of publication: United kingdom

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Seeds / Triticum / Fungicides, Industrial Type of study: Prognostic_studies Language: En Journal: J Sci Food Agric Year: 2018 Document type: Article Affiliation country: Brazil Country of publication: United kingdom