Your browser doesn't support javascript.
loading
Indirect Measurement of ß-Glucan Content in Barley Grain with Near-Infrared Reflectance Spectroscopy.
Ghizzoni, Roberta; Morcia, Caterina; Terzi, Valeria; Gianinetti, Alberto; Baronchelli, Marina.
Afiliação
  • Ghizzoni R; Council for Agricultural Research and Economics (CREA), Research Centre for Genomics and Bioinformatics (GB), Via S. Protaso 302, 29017 Fiorenzuola d'Arda, PC, Italy.
  • Morcia C; Council for Agricultural Research and Economics (CREA), Research Centre for Genomics and Bioinformatics (GB), Via S. Protaso 302, 29017 Fiorenzuola d'Arda, PC, Italy.
  • Terzi V; Council for Agricultural Research and Economics (CREA), Research Centre for Genomics and Bioinformatics (GB), Via S. Protaso 302, 29017 Fiorenzuola d'Arda, PC, Italy.
  • Gianinetti A; Council for Agricultural Research and Economics (CREA), Research Centre for Genomics and Bioinformatics (GB), Via S. Protaso 302, 29017 Fiorenzuola d'Arda, PC, Italy.
  • Baronchelli M; Council for Agricultural Research and Economics (CREA), Research Centre for Genomics and Bioinformatics (GB), Via S. Protaso 302, 29017 Fiorenzuola d'Arda, PC, Italy.
Foods ; 11(13)2022 Jun 23.
Article em En | MEDLINE | ID: mdl-35804662
ABSTRACT
ß-Glucan is a component of barley grains with functional properties that make it useful for human consumption. Cultivars with high grain ß-glucan are required for industrial processing. Breeding for barley genotypes with higher ß-glucan content requires a high-throughput method to assess ß-glucan quickly and cheaply. Wet-chemistry laboratory procedures are low-throughput and expensive, but indirect measurement methods such as near-infrared reflectance spectroscopy (NIRS) match the breeding requirements (once the NIR spectrometer is available). A predictive model for the indirect measurement of ß-glucan content in ground barley grains with NIRS was therefore developed using 248 samples with a wide range of ß-glucan contents (3.4%-17.6%). To develop such calibration, 198 unique samples were used for training and 50 for validation. The predictive model had R2 = 0.990, bias = 0.013% and RMSEP = 0.327% for validation. NIRS was confirmed to be a very useful technique for indirect measurement of ß-glucan content and evaluation of high-ß-glucan barleys.
Palavras-chave

Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2022 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2022 Tipo de documento: Article