BIGapp: A user-friendly genomic tool kit identified quantitative trait loci for creeping rootedness in alfalfa (Medicago sativa L.)
- PMID: 40640114
- PMCID: PMC12245737
- DOI: 10.1002/tpg2.70067
BIGapp: A user-friendly genomic tool kit identified quantitative trait loci for creeping rootedness in alfalfa (Medicago sativa L.)
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.
© 2025 The Author(s). The Plant Genome published by Wiley Periodicals LLC on behalf of Crop Science Society of America.
Conflict of interest statement
The authors declare no conflicts of interest.
Figures




References
-
- Alemu, A. , Åstrand, J. , Montesinos‐López, O. A. , Isidro Y Sánchez, J. , Fernández‐Gónzalez, J. , Tadesse, W. , Vetukuri, R. R. , Carlsson, A. S. , Ceplitis, A. , Crossa, J. , Ortiz, R. , & Chawade, A. (2024). Genomic selection in plant breeding: Key factors shaping two decades of progress. Molecular Plant, 17, 552–578. 10.1016/j.molp.2024.03.007 - DOI - PubMed
-
- Aparicio, J. , Gezan, S. A. , Ariza‐Suarez, D. , Raatz, B. , Diaz, S. , Heilman‐Morales, A. , & Lobaton, J. (2023). Mr.Bean: A comprehensive statistical and visualization application for modeling agricultural field trials data. Frontiers in Plant Science, 14, 1290078. 10.3389/fpls.2023.1290078 - DOI - PMC - PubMed
-
- Berdahl, J. D. , Wilton, A. C. , & Frank, A. B. (1989). Survival and agronomic performance of 25 alfalfa cultivars and strains interseeded into rangeland. Rangeland Ecology & Management/Journal of Range Management Archives, 42, 312–316.
MeSH terms
Grants and funding
LinkOut - more resources
Full Text Sources