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Breeding for dual-purpose wheat varieties using marker–trait associations for biomass yield and quality traits

Key message This study demonstrates that an active breeding nursery with rotation can be used to identify marker–trait associations for biomass yield and quality parameters that are important for biorefinery purposes. Wheat straw is a valuable feedstock for bioethanol production, but due to the reca...

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Bibliographic Details
Published in:Theoretical and applied genetics 2019-12, Vol.132 (12), p.3375-3398
Main Authors: Malik, Pernille L., Janss, Luc, Nielsen, Linda K., Borum, Finn, Jørgensen, Henning, Eriksen, Birger, Schjoerring, Jan K., Rasmussen, Søren K.
Format: Article
Language:English
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Summary:Key message This study demonstrates that an active breeding nursery with rotation can be used to identify marker–trait associations for biomass yield and quality parameters that are important for biorefinery purposes. Wheat straw is a valuable feedstock for bioethanol production, but due to the recalcitrant nature of lignocellulose, its efficient use in biorefineries is limited by its low digestibility and difficult conversion of structural carbohydrates into free sugars. A genome-wide association study (GWAS) was conducted to search for significant SNP markers that could be used in a breeding programme to improve the value of wheat straw in a biorefinery setting. As part of a 3-year breeding programme (2013–2016), 190 winter wheat lines were phenotyped for traits that affect the yield and quality of the harvested biomass. These traits included straw yield, plant height, lodging at three growth stages and Septoria tritici blotch (STB) susceptibility. Release of glucose, xylose and arabinose was determined after hydrothermal pretreatment and enzymatic hydrolysis of the straw. The lines were genotyped using 15 K SNP markers and 5552 SNP markers could be used after filtering. Heritability for all traits ranged from 0.02 to 0.74. GWASs were conducted using CMLM, SUPER and FarmCPU algorithms, to analyse which algorithm could detect the highest number of marker–trait associations (MTAs). Comparable tendencies were obtained from CMLM and FarmCPU, but FarmCPU produced the most significant results. MTAs were obtained for lodging, harvest index, plant height, STB, glucose, xylose and arabinose at a significance level of p  
ISSN:0040-5752
1432-2242
DOI:10.1007/s00122-019-03431-z