Skip to main content
ARS Home » Research » Publications at this Location » Publication #321380
Title: Global focused identification of germplasm strategy (figs) application on Trifolium epens L.

Author
item GARCIA, ROSA - Desiderio Finamore Veterinary Research Institute (FEPAGRO)
item PARRA-QUIJANO, MAURICIO - Food & Agriculture Organization (FAO)
item Greene, Stephanie
item IRIONDO, JOSE - Desiderio Finamore Veterinary Research Institute (FEPAGRO)
item DE LA ROSA, LUCIA - Desiderio Finamore Veterinary Research Institute (FEPAGRO)

Submitted to: Symposium Proceedings
Publication Type: Proceedings
Publication Acceptance Date: 4/22/2015
Publication Date: 5/4/2015
Citation: Garcia, R.M., Parra-Quijano, M., Greene, S.L., Iriondo, J.M., De La Rosa, L. 2015. Global focused identification of germplasm strategy (figs) application on Trifolium epens L.. Symposium Proceedings. 6:23-24. Eucarpia International Symposium on Protein crops, Pontevedra, Spain. 4-7 May 2015.

Interpretive Summary: Trifolium repens L. is a legume species extensively used in grass pastures. Traits such as level of cyanogenic glucosides and flower production are important in breeding productive and nutritious varieties. The Focused Identification of Germplasm Strategy (FIGS) is an approach used to screen large germplasm collections in order to identify sets of accessions with a high probability of containing specific target traits, based on the environment they evolved in. In this study we used FIGS to identify accessions of white clover and wild relatives that may have desirable levels of cyanogenesis and flower production. The results of the analysis two priority groups of 983 and 4,437 accessions that may have desirable levels of cyanogenesis and flower production.

Technical Abstract: Trifolium repens L. is a legume species extensively used in grass pastures. Traits such as level of cyanogenic glucosides and flower production are important in breeding productive and nutritious varieties. The Focused Identification of Germplasm Strategy (FIGS) is an approach used to screen large germplasm collections in order to identify sets of plant genotypes with a high probability of containing specific target traits, based on the ecogeographical information of the populations’ collecting sites. In this study we used FIGS to identify a priority group of populations of white clover and wild relatives that may have desirable levels of cyanogenesis and flower production. GRIN data were obtained and expert knowledge used to determine eco-geographical variables that influence expression of each trait and the threshold value for each trait. The CAPFITOGEN tool was used to implement the FIGS analysis. The evaluated sets for cyanogenesis and flower production were composed of 160 and 68 populations, respectively. The models that had the best fit were a GBM model for cyanogenesis and a GLM model for flower production. The projections of these models on the non-evaluated sets allowed the identification of two priority groups of 983 and 4,437 that may have desirable levels of cyanogenesis and flower production, respectively.