Document Type
Article
Journal/Book Title/Conference
The Plant Genome
Author ORCID Identifier
Alexander M. Sandercock https://orcid.org/0000-0001-6897-1856
Michael D. Peel https://orcid.org/0000-0002-3122-5486
Cristiane H. Taniguti https://orcid.org/0000-0002-2021-6883
Josué Chinchilla-Vargas https://orcid.org/0000-0002-2399-7849
Shufen Chen https://orcid.org/0000-0003-0577-2598
Manoj Sapkota https://orcid.org/0000-0002-9987-1193
Meng Lin https://orcid.org/0000-0001-5216-6430
Dongyan Zhao https://orcid.org/0000-0002-2080-8416
Arlyn J. Ackerman https://orcid.org/0000-0001-9249-6872
Bhoja R. Basnet https://orcid.org/0000-0002-1693-4807
Craig T. Beil https://orcid.org/0000-0002-1756-9987
Moira J. Sheehan https://orcid.org/0000-0002-3400-2165
Volume
18
Issue
3
Publisher
John Wiley & Sons Ltd.
Publication Date
7-10-2025
Journal Article Version
Version of Record
First Page
1
Last Page
14
Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 License.
Abstract
Alfalfa (Medicago sativa L.) is a globally vital forage crop valued for its perennial growth and multiple annual harvests. A breeding effort is underway to improve the crop for productivity and persistence against biotic and abiotic stresses using “creeping rootedness,” a trait where plants exhibit horizontal root growth, similar to rhizomes, with increased vegetative ground surface area. In this study, we genotyped a breeding population of 648 alfalfa lines segregating for creeping rootedness using the 3K DArTag marker panel to identify trait-associated genomic loci and evaluate the feasibility of genomic prediction to accelerate breeding cycles. Using genome-wide association studies (GWAS), we identified three quantitative trait loci (QTLs), with one major QTL located on chromosome 6.1 associated with this trait. Genomic prediction showed moderate predictive ability (r = 0.68) for creeping rootedness. A significant advancement in this study was the development and utilization of the Breeding Insight Genomics Application (BIGapp), an R Shiny application designed to streamline the processing of genomic data through an intuitive interface. This tool makes integrating genomics into existing breeding programs accessible, regardless of species ploidy or the researcher's coding proficiency. The identified QTL will be essential in future efforts to develop new alfalfa cultivars with the creeping rootedness trait and accelerate the breeding cycle, with BIGapp playing a pivotal role in these advancements.
Recommended Citation
Sandercock, A. M., Peel, M. D., Taniguti, C. H., Chinchilla-Vargas, J., Chen, S., Sapkota, M., Lin, M., Zhao, D., Ackerman, A. J., Basnet, B. R., Beil, C. T., & Sheehan, M. J. (2025). BIGapp: A user-friendly genomic tool kit identified quantitative trait loci for creeping rootedness in alfalfa (Medicago sativa L.). The Plant Genome, 18, e70067. https://doi.org/10.1002/tpg2.70067