Location: Plant Science Research
Title: Development of a mid-density genotyping platform for alfalfa and its application in a drought tolerance breeding programAuthor
SANDERCOCK, ALEXANDER - Cornell University | |
SAPKOTA, MANOJ - Cornell University | |
MEDINA, CESAR - University Of Minnesota | |
Xu, Zhanyou | |
Yu, Long-Xi | |
ZHAO, DONGYAN - Cornell University | |
MEJIA-GUERRA, KATHERINE - Cornell University | |
MOLLINARI, MARCELO - North Carolina State University | |
Samac, Deborah - Debby | |
Irish, Brian | |
HELLER-USZYNSKA, KASIA - Cornell University | |
BEIL, CRAIG - Cornell University | |
SHEEHAN, MOIRA - Cornell University |
Submitted to: Plant and Animal Genome Conference Proceedings
Publication Type: Abstract Only Publication Acceptance Date: 10/29/2023 Publication Date: 1/12/2024 Citation: Sandercock, A.M., Sapkota, M., Medina, C.M., Xu, Z., Yu, L., Zhao, D., Mejia-Guerra, K., Mollinari, M., Samac, D.A., Irish, B.M., Heller-Uszynska, K., Beil, C.T., Sheehan, M.J. 2024. Development of a mid-density genotyping platform for alfalfa and its application in a drought tolerance breeding program. Plant and Animal Genome Conference. San Diego, California. January 12-17, 2024. Interpretive Summary: Technical Abstract: Molecular breeding techniques have revolutionized breeding decisions in major crops like tomato and maize, yet many specialty crop species lack accessible genetic resources. The development of genetic resources, such as openly accessible marker panels, can improve breeding programs through lowering costs and time necessary to make selection decisions. Alfalfa (Medicago sativa L.) is a globally important perennial forage crop that is pivotal in beef and dairy production, yet breeding is still largely relying on “breeders’ eyes”. To improve breeding and assist breeders in adopting modern molecular techniques, Breeding Insight (BI) developed a 3K DArTag marker panel from whole-genome skim sequencing of 40 elite alfalfa lines used in North America. DArTag markers were selected for their genome-wide distribution and location within genic regions. The marker panel was then tested through the genotyping of an F1 and a backcross population – leading to the creation of a combined genetic map of 1,792 markers. Finally, we performed DArTag sequencing for 436 alfalfa genotypes within a breeding population to identify genomic regions associated with drought tolerance. Using GWASpoly and trait data for 16 harvest yields (May-August, 2020-2023), we discovered 24 quantitative trait loci (QTL) associated with drought tolerance. Genomic prediction was performed using RRBLUP, GBLUP and WGBLUP methods. RRBLUP and GBLUP provided moderate and comparable predictive abilities through ten-fold cross validation. WGBLUP integrated SNPs allocated within the above mentioned 24 QTL regions and provided increased predictive abilities. Thus, the open accessibility of this genetic resource marks a significant contribution to existing alfalfa breeding programs and is suited to benefit the global alfalfa breeding community. |