Blueberry Ontology DOI: 10.5281/zenodo.11470518

 

 

Curators

Nahla Bassil, USDA-ARS

Amanda Hulse-Kemp, USDA-ARS

Jodi Humann, Washington State University, GDV Curator

 

Contributors: Lillian M. Hislop, Claire H. Luby, Jenyne Loarca, Jodi Humann, Kim Hummer, Nahla Bassil, Dongyan Zhao, Moira Sheehan, Alexandra M. Casa, Grant T. Billings, Daniella Echeverria, Hamid Ashrafi, Ebrahiem Babiker, Patrick Edger, Mark K Ehlenfeldt, Jim Hancock, Chad Finn, Massimo Iorizzo, Ted Mackey, Patricio R Muñoz, James Olmstead, Lisa J. Rowland, Paul Sandefur, Jessica Spencer, Stephen Stringer, Nicholi Vorsa, Adam Wagner, Amanda M. Hulse-Kemp

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=Term, =Trait, =Method, and =Scale
Variables
Concept details
Key Value
method_id CO_371:0000493
method_name Confirming cultivar identity with pedigree analysis
ontology_id CO_371
ontology_name Blueberry
method_class Measurement
method_description If offspring have alleles from parents they are true to type.
method_reference Bassil, N.V., Bidani, A., Nyberg, A., Hummer, K. and Rowland, L.J. (2020) Microsatellite markers confirm identity of blueberry (Vaccinium spp.) plants in the USDA-ARS National Clonal Germplasm Repository collection. Genet. Resour. Crop Evol. 67:393–409  https:
language EN
created_at 2023-11-16-10:22:11