Author
FIEDLER, JASON - North Dakota State University | |
SALSMAN, EVAN - North Dakota State University | |
LIU, YUAN - North Dakota State University | |
JIMENEZ, MONIKA - North Dakota State University | |
HEGSTAD, JUSTIN - North Dakota State University | |
CHEN, BINGCAN - North Dakota State University | |
MANTHEY, FRANK - North Dakota State University | |
Chao, Shiaoman | |
Xu, Steven | |
ELIAS, ELIAS - North Dakota State University | |
LI, XUEHUI - North Dakota State University |
Submitted to: The Plant Genome
Publication Type: Peer Reviewed Journal Publication Acceptance Date: 8/21/2017 Publication Date: 11/28/2017 Publication URL: https://handle.nal.usda.gov/10113/6471047 Citation: Fiedler, J., Salsman, E., Liu, Y., Jimenez, M., Hegstad, J., Chen, B., Manthey, F.A., Chao, S., Xu, S.S., Elias, E.M., Li, X. 2017. Genome-wide association and prediction of grain and semolina quality traits in durum wheat breeding populations. The Plant Genome. 10(3). https://doi.org/10.3835/plantgenome2017.05.0038. DOI: https://doi.org/10.3835/plantgenome2017.05.0038 Interpretive Summary: Grain yield and semolina milling quality traits are essential selection criteria in durum wheat breeding. However, the high cost of phenotypic screening often limited selection to only a small number of lines and at later stages of the breeding process. This leads to relatively low selection efficiency due to advancing undesirable lines into expensive yield trials and the possibility of disposing high quality lines at early generations. In this study, we explored the breeding strategies based on genome-wide DNA markers for five grain quality traits using 1,184 breeding lines from the durum wheat breeding program at North Dakota State University. Our results suggested that implementation of marker-based breeding in durum wheat would enable breeders to select grain and semolina quality traits more efficiently and, thus, enhance genetic improvement for these traits. Technical Abstract: Grain yield and semolina quality traits are essential selection criteria in durum wheat breeding. However, high cost of phenotypic screening limited the selection only on small number of lines and at later generations. This leads to relatively low selection efficiency due to the advancement of undesirable lines into expensive yield trials for grain yield and quality traits testing or the disposal of high quality lines in early generations. Marker-aided selection can enhance selection efficiency especially for traits that are difficult or costly to phenotype, and is routinely employed in plant breeding programs. The aim of this study was to identify major QTL to facilitate markers-assisted selection (MAS) and explore potential application of genomic selection (GS) for the quality traits in durum wheat breeding program. In this study, genome wide association mapping for five quality traits was conducted using 1,184 lines across five breeding cycles from the NDSU durum wheat breeding program. We found several QTL associated with test weight, semolina color, and gluten strength segregating in the breeding populations. GS models were developed and high forward prediction accuracies of 0.4-0.5 were obtained for the five quality traits. Our results suggested that implementation of MAS and GS in durum wheat would enable breeders to select grain and semolina quality traits more efficiently and hence enhance genetic improvement. |