Improving the screening of potato breeding lines for specific nutritional traits using portable mid-infrared spectroscopy and multivariate analysis

Food Chem. 2016 Nov 15:211:374-82. doi: 10.1016/j.foodchem.2016.05.083. Epub 2016 May 13.

Abstract

Efficient selection of potato varieties with enhanced nutritional quality requires simple, accurate and cost effective assays to obtain tuber chemical composition information. In this study, 75 Andean native potato samples from 7 Solanum species with different colors were characterized and quantified for their anthocyanin, phenolics and sugar content using traditional reference methods. IR (infrared) spectra of potato extracts were collected using a portable infrared system and partial least squares regression (PLSR) calibration models were developed. These models were validated using both full cross-validation and an independent sample set giving strong linear correlation coefficients of prediction (rPred)>0.91 and standard error of prediction (SEP) of 24mg/100g phenolics, 7mg/100g monomeric anthocyanins, 0.1g/100g reducing sugars and 0.12g/100g sucrose. Overall, portable infrared system with PLSR showed great potential to facilitate potato breeding and certain aspects of crop management, material selection for potato processing and related research by providing alternative prediction models.

Keywords: Andean potatoes; Anthocyanins; FTIR; Phenolics; Portable spectrometers; Sugars.

MeSH terms

  • Anthocyanins / analysis
  • Carbohydrates / analysis
  • Multivariate Analysis
  • Nutritive Value* / genetics
  • Phenols / analysis
  • Plant Breeding / methods*
  • Plant Extracts / analysis*
  • Plant Extracts / genetics
  • Plant Tubers / chemistry
  • Solanum tuberosum / chemistry*
  • Solanum tuberosum / genetics
  • Solid Phase Extraction / methods*
  • Spectrophotometry, Infrared / methods*
  • Sucrose / analysis

Substances

  • Anthocyanins
  • Carbohydrates
  • Phenols
  • Plant Extracts
  • Sucrose