Genetic dissection of malt quality in barley: an examination of hydration index and metabolite QTL
Date
2024
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Publisher
Montana State University - Bozeman, College of Agriculture
Abstract
Malting barley is a high value crop for American farmers. Through the malting process grain is turned into malt which is primarily used in brewing but can also be a flavor and nutritional additive for the food industry. During the malting process hydration of the endosperm is a rate limiting step resulting in increased time and water usage if a third water immersion is needed during steeping. To better understand the genetics of endosperm hydration we used a genome wide association (GWAS) population to map quantitative trait loci (QTL) for malt quality, hydration index (endosperm hydration), and seed morphology traits. We found six hydration index QTL with three related to seed size (qHYI1H, qHYI3H.a, and qHYI3H.b), two improving malt quality (qHYI2H and qHYI6H), and the last (qHYI7H) wasn't related to any other traits. We then wanted to see the relationship between hydration index and dormancy because dormancy is needed to prevent preharvest sprouting. Preharvest sprouting in malt barley results in extreme price reductions for producers however the dormancy genes needed to prevent this negatively impact malt quality. Using a biparental mapping population we were able to map two hydration index QTL and relate them to the dormancy gene SD2. Our results confirmed SD2 negatively impacts malt quality but when the positive alleles for hydration index are present, they negate dormancy's negative effects on quality. The results from these two studies show hydration index can benefit growers and maltsters with barley and malt production. Our third study looked at metabolite variation in the GWAS population to see if we could identify QTL related to malt flavor. This would help craft malt houses and breweries which are usually in search of unique flavors. We were able to identify 827 metabolite QTL however the most impactful to flavor were amino acid, saccharide, and maltol QTL which totaled 39. The three maltol QTL which are directly related to flavor all co-located with maltol precursors (amino acids and saccharides) showing these QTL would be good targets for marker assisted selection to create maltol variation.