Blueberry Ontology  |
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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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=Trait, 
=Method, and 
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Variables
Concept details
| Key | Value |
|---|---|
| method_id | CO_371:0000411 |
| method_name | Plant growth and yield due to soil |
| ontology_id | CO_371 |
| ontology_name | Blueberry |
| method_class | Measurement |
| method_description | A mineral soil adaptation index (0 – 10) for each genotype was calculated as follows: mineral soil adaptation score = Ʃ mean ratings for vegetative vigor, yield balance and nutrient deficiency symptoms divided by 5. This index was used in conjunction with growth and fruiting data to evaluate genotypic response to the mineral soil environment. Individuals displaying indices > or = 7.5 exhibited mineral soil adaptation. Referenced in Scheerens, J.C., Erb, W.A., Goulart, B.L., and Hancock, J.F. (1999a). Blueberry hybrids with complex genetic backgrounds evaluated on mineral soils: stature, growth rate, yield potential and adaptability to mineral soil conditions as influenced by parental species. |
| method_reference | Fruit Var. J. 53, 73–90. |
| language | EN |
| created_at | 2023-11-16-10:22:11 |