Asset Details
Do you wish to reserve the book?
Multi-population GWAS detects robust marker associations in a newly established six-rowed winter barley breeding program
Hey, we have placed the reservation for you!
By the way, why not check out events that you can attend while you pick your title.
Oops! Something went wrong.
Looks like we were not able to place the reservation. Kindly try again later.
Are you sure you want to remove the book from the shelf?
Multi-population GWAS detects robust marker associations in a newly established six-rowed winter barley breeding program
Do you wish to request the book?
Multi-population GWAS detects robust marker associations in a newly established six-rowed winter barley breeding program
Please be aware that the book you have requested cannot be checked out. If you would like to checkout this book, you can reserve another copy
We have requested the book for you!
Your request is successful and it will be processed during the Library working hours. Please check the status of your request in My Requests.
Oops! Something went wrong.
Looks like we were not able to place your request. Kindly try again later.
Journal Article
Multi-population GWAS detects robust marker associations in a newly established six-rowed winter barley breeding program
2025
Overview
Genome-wide association study (GWAS) is a powerful tool for identifying marker-trait associations that can accelerate breeding progress. Yet, its power is typically constrained in newly established breeding programs where large phenotypic and genotypic datasets have not yet accumulated. Expanding the dataset by inclusion of data from well-established breeding programs with many years of phenotyping and genotyping can potentially address this problem. In this study we performed single- and multi-population GWAS on heading date and lodging in four barley breeding populations with varying combinations of row-type and growth habit. Focusing on a recently established 6-rowed winter (6RW) barley population, single-population GWAS hardly resulted in any significant associations. Nevertheless, the combination of the 6RW target population with other populations in multi-population GWAS detected four and five robust candidate quantitative trait loci for heading date and lodging, respectively. Of these, three remained undetected when analysing the combined populations individually. Further, multi-population GWAS detected markers capturing a larger proportion of genetic variance in 6RW. For multi-population GWAS, we compared the findings of a univariate model (MP1) with a multivariate model (MP2). While both models surpassed single-population GWAS in power, MP2 offered a significant advantage by having more realistic assumptions while pointing towards robust marker-trait associations across populations. Additionally, comparisons of GWAS findings for MP2 and single-population GWAS allowed identification of population-specific loci. In conclusion, our study presents a promising approach to kick-start genomics-based breeding in newly established breeding populations.
Publisher
Springer International Publishing,Springer Nature B.V
Subject
/ Barley
/ Biomedical and Life Sciences
/ Datasets
/ Ecology
/ Genetics and Breeding in Agricultural Sciences
/ Genetik och förädling inom lantbruksvetenskap
/ Genome-wide association studies
/ Genome-Wide Association Study
/ Genomes
/ Genomics
/ Genotype
/ Heredity
/ Lodging
/ Polymorphism, Single Nucleotide
/ Seasons
/ Seeds
/ Winter
