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Metabolomic spectra for phenotypic prediction of malting quality in spring barley

Guo, Xiangyu and Jahoor, Ahmed and Jensen, Just and Sarup, Pernille (2022). Metabolomic spectra for phenotypic prediction of malting quality in spring barley. Scientific Reports. 12 :1 , 7881
[Research article]

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Abstract

We investigated prediction of malting quality (MQ) phenotypes in different locations using metabolomic spectra, and compared the prediction ability of different models, and training population (TP) sizes. Data of five MQ traits was measured on 2667 individual plots of 564 malting spring barley lines from three years and two locations. A total of 24,018 metabolomic features (MFs) were measured on each wort sample. Two statistical models were used, a metabolomic best linear unbiased prediction (MBLUP) and a partial least squares regression (PLSR). Predictive ability within location and across locations were compared using cross-validation methods. For all traits, more than 90% of the total variance in MQ traits could be explained by MFs. The prediction accuracy increased with increasing TP size and stabilized when the TP size reached 1000. The optimal number of components considered in the PLSR models was 20. The accuracy using leave-one-line-out cross-validation ranged from 0.722 to 0.865 and using leave-one-location-out cross-validation from 0.517 to 0.817. In conclusion, the prediction accuracy of metabolomic prediction of MQ traits using MFs was high and MBLUP is better than PLSR if the training population is larger than 100. The results have significant implications for practical barley breeding for malting quality.

Authors/Creators:Guo, Xiangyu and Jahoor, Ahmed and Jensen, Just and Sarup, Pernille
Title:Metabolomic spectra for phenotypic prediction of malting quality in spring barley
Series Name/Journal:Scientific Reports
Year of publishing :2022
Volume:12
Number:1
Article number:7881
Number of Pages:12
Publisher:NATURE PORTFOLIO
ISSN:2045-2322
Language:English
Publication Type:Research article
Article category:Scientific peer reviewed
Version:Published version
Copyright:Creative Commons: Attribution 4.0
Full Text Status:Public
Subjects:(A) Swedish standard research categories 2011 > 4 Agricultural Sciences > 404 Agricultural Biotechnology > Genetics and Breeding
URN:NBN:urn:nbn:se:slu:epsilon-p-117257
Permanent URL:
http://urn.kb.se/resolve?urn=urn:nbn:se:slu:epsilon-p-117257
Additional ID:
Type of IDID
DOI10.1038/s41598-022-12028-4
Web of Science (WoS)000795163100075
ID Code:28123
Faculty:LTV - Fakulteten för landskapsarkitektur, trädgårds- och växtproduktionsvetenskap
Department:(LTJ, LTV) > Department of Plant Breeding (from 130101)
Deposited By: SLUpub Connector
Deposited On:30 May 2022 14:25
Metadata Last Modified:30 May 2022 14:31

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