Literature DB >> 32036907

Aroma and quality of breads baked from old and modern wheat varieties and their prediction from genomic and flour-based metabolite profiles.

Friedrich Longin1, Heiner Beck2, Hermann Gütler3, Wendelin Heilig4, Michael Kleinert5, Matthias Rapp1, Norman Philipp6, Alexander Erban7, Dominik Brilhaus8, Tabea Mettler-Altmann8, Benjamin Stich9.   

Abstract

Bread aroma is the principal characteristic perceived by the consumer yet it is mostly disregarded in the product chain. The main aim of this study was to evaluate the potential to include bread aroma as a new target criterion into the wheat product chain. The objectives of our study were to (i) quantify the influence of genetic versus environmental factors on the bread aroma and quality characteristics, (ii) evaluate whether bread baked from modern wheat varieties differ in terms of aroma from those baked from old varieties, and (iii) compare genomic and metabolomic approaches for their efficiency to predict bread aroma and quality characteristics in a wheat breeding program. Agronomic characters as well as bread aroma and quality traits were assessed for 18 old and 22 modern winter wheat varieties evaluated at up to three locations in Germany. Metabolite profiles of all 120 flour samples were collected using a 7200 GC-QTOF. Considerable differences in the adjusted entry means for all examined bread aroma and quality characters were observed. For aroma, which was rated on a scale from 1 to 9, the adjusted entry means varied for the 40 wheat varieties between 3 and 8. In contrast, the aroma of bread prepared from old and modern wheat varieties did not differ significantly (P < 0.05). Bread aroma was not significantly (P < 0.05) correlated with grain yield, which suggested that it is possible to select for the former character in wheat breeding programs without reducing the gain of selection for the latter. Finally, we have shown that bread aroma can be better predicted using a combination of metabolite and SNP genotyping profiles instead of the SNP genotyping profile only. In conclusion, we have illustrated possibilities to increase the quality of wheat for consumers in the product chain.
Copyright © 2019 The Author(s). Published by Elsevier Ltd.. All rights reserved.

Entities:  

Keywords:  Flavor; Genomic prediction; Odor; Old vs. modern; Wheat; Yield

Mesh:

Year:  2019        PMID: 32036907     DOI: 10.1016/j.foodres.2019.108748

Source DB:  PubMed          Journal:  Food Res Int        ISSN: 0963-9969            Impact factor:   6.475


  4 in total

1.  Marker-assisted introgression of genes into rye translocation leads to the improvement in bread making quality of wheat (Triticum aestivum L.).

Authors:  Ramandeep Kaur; Guriqbal Singh Dhillon; Amandeep Kaur; Sarabjit Kaur; Puneet Inder Toor; Diljot Kaur; Aman Kumar; Gurvinder Singh Mavi; Satvir Kaur Grewal; Achla Sharma; Puja Srivastava; Parveen Chhuneja; Satinder Kaur
Journal:  Heredity (Edinb)       Date:  2022-05-14       Impact factor: 3.832

2.  Metabolomic selection for enhanced fruit flavor.

Authors:  Vincent Colantonio; Luis Felipe V Ferrão; Denise M Tieman; Nikolay Bliznyuk; Charles Sims; Harry J Klee; Patricio Munoz; Marcio F R Resende
Journal:  Proc Natl Acad Sci U S A       Date:  2022-02-15       Impact factor: 11.205

3.  Technology characteristics and flavor changes of traditional green wheat product nian zhuan in Northern China.

Authors:  Yadong Jin; Shuang Bai; Zengwen Huang; Liqin You; Tonggang Zhang
Journal:  Front Nutr       Date:  2022-09-29

4.  Improvement of prediction ability by integrating multi-omic datasets in barley.

Authors:  Po-Ya Wu; Benjamin Stich; Marius Weisweiler; Asis Shrestha; Alexander Erban; Philipp Westhoff; Delphine Van Inghelandt
Journal:  BMC Genomics       Date:  2022-03-12       Impact factor: 3.969

  4 in total

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