Genomic prediction accuracy for switchgrass traits related to bioenergy within differentiated populations
Author:
Funder
Biological and Environmental Research
Agricultural Research Service
Publisher
Springer Science and Business Media LLC
Subject
Plant Science
Link
http://link.springer.com/content/pdf/10.1186/s12870-018-1360-z.pdf
Reference66 articles.
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2. Bates D, Mächler M, Bolker BM, Walker SC (2015) Fitting linear mixed-effects models using lme4. J Stat Softw 67:1–48. https:// doi.org/10.18637/jss.v067.i01 .
3. Bouton J. The economic benefits of forage improvement in the United States. Euphytica Neth J Plant Breed. 2007;154:263–70..
4. Casler M. Ecotypic variation among switchgrass populations from the northern USA. Crop Sci. 2005;45:388–98..
5. Casler MD, Ramstein GP (2017) Breeding for biomass yield in switchgrass using surrogate measures of yield. BioEnergy Res 1–12. https:// doi.org/10.1007/s12155-017-9867-y .
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