Hyperspectral reflectance-derived relationship matrices for genomic prediction of grain yield in wheat
Type:
Title:
Hyperspectral reflectance-derived relationship matrices for genomic prediction of grain yield in wheat
Author:
Krause, M.;
Gonzalez-Perez, L.;
Crossa, J.;
Perez-Rodriguez, P.;
Montesinos-Lopez, O.A.;
https://orcid.org/0000-0002-3973-6547
Scopus ID
Items in this Repository
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Singh, R.P.;
Dreisigacker, S.;
Poland, J.A.;
Rutkoski, J.;
Sorrells, M.E.;
Gore, M.A.;
Mondal, S.
Gonzalez-Perez, L.;
Crossa, J.;
Perez-Rodriguez, P.;
Montesinos-Lopez, O.A.;
Montesinos-Lopez, O.A.
https://orcid.org/0000-0002-3973-6547
Scopus ID
Items in this Repository
View
Singh, R.P.;
Dreisigacker, S.;
Poland, J.A.;
Rutkoski, J.;
Sorrells, M.E.;
Gore, M.A.;
Mondal, S.
Year:
2019
Copyright:
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Journal:
G3 : genes - genomes - genetics; G3: Genes, Genomes, Genetics
Journal volume:
9
Journal issue:
4
Pages:
1231-1247
Place:
Bethesda, MD (USA)
Publisher:
Genetics Society of America
Citation:
Hyperspectral reflectance-derived relationship matrices for genomic prediction of grain yield in wheat. 2019. Krause, M.; Gonzalez-Perez, L.; Crossa, J.; Perez-Rodriguez, P.; Montesinos-Lopez, O.A.; Singh, R.P.; Dreisigacker, S.; Poland, J.A.; Rutkoski, J.; Sorrells, M.E.; Gore, M.A.; Mondal, S. G3 : genes - genomes - genetics G3: Genes, Genomes, Genetics 9 (4): 1231-1247. DOI: 10.1534/g3.118.200856 Bethesda, MD (USA). Genetics Society of America.
