Sparse testing using genomic prediction improves selection for breeding targets in elite spring wheat
Type:
Title:
Sparse testing using genomic prediction improves selection for breeding targets in elite spring wheat
Creator:
Atanda, S.A.;
Velu, G.;
Singh, R.P.;
Robbins, K.;
Crossa, J.;
Bentley, A.R.
Velu, G.;
Singh, R.P.;
Robbins, K.;
Crossa, J.;
Bentley, A.R.
Year:
2022
Copyright:
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Journal:
Theoretical and Applied Genetics
Journal volume:
135
Journal issue:
6
Pages:
1939–1950
Place of Publication:
Berlin (Germany)
Publisher:
Springer
Related Datasets
CGIAR Initiatives
Initiative:
Accelerated Breeding
Breeding Resources
Breeding Resources
Impact Area:
Nutrition, health & food security
Poverty reduction, livelihoods & jobs
Poverty reduction, livelihoods & jobs
Action Area:
Genetic Innovation
Donor or Funder:
Bill & Melinda Gates Foundation
CGIAR Trust Fund
Foreign, Commonwealth & Development Office
CGIAR Trust Fund
Foreign, Commonwealth & Development Office
CGSpace URL:
