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Sparse testing using genomic prediction improves selection for breeding targets in elite spring wheat


Type:
Article
Title:
Sparse testing using genomic prediction improves selection for breeding targets in elite spring wheat
Creator:
Atanda, S.A.;
ORCID iD icon
Atanda, S.A.
ORCID iD iconhttps://orcid.org/0000-0001-8758-2063
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Velu, G.;
ORCID iD icon
Velu, G.
ORCID iD iconhttps://orcid.org/0000-0001-9502-4352
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Singh, R.P.;
ORCID iD icon
Singh, R.P.
ORCID iD iconhttps://orcid.org/0000-0002-4676-5071
ScopusScopus ID
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Robbins, K.;
Robbins, K.
ORCID iD iconhttps://orcid.org/0000-0001-9522-9585
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Crossa, J.;
ORCID iD icon
Crossa, J.
ORCID iD iconhttps://orcid.org/0000-0001-9429-5855
ScopusScopus ID
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Bentley, A.R.
ORCID iD icon
Bentley, A.R.
ORCID iD iconhttps://orcid.org/0000-0001-5519-4357
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Year:
2022
URI:
https://hdl.handle.net/10883/22045
Copyright:
CIMMYT manages Intellectual Assets as International Public Goods. The user is free to download, print, store and share this work. In case you want to translate or create any other derivative work and share or distribute such translation/derivative work, please contact CIMMYT-Knowledge-Center@cgiar.org indicating the work you want to use and the kind of use you intend; CIMMYT will contact you with the suitable license for that purpose
Journal:
Theoretical and Applied Genetics
Journal volume:
In press
DOI:
10.1007/s00122-022-04085-0
Place of Publication:
Berlin (Germany)
Publisher:
Springer
Citation:
Sparse testing using genomic prediction improves selection for breeding targets in elite spring wheat. 2022. In press DOI: 10.1007/s00122-022-04085-0 Springer.

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CGIAR Initiatives

CGSpace URL:
https://hdl.handle.net/10568/126431

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Genetic ResourcesInstitutionalMaizeSocioeconomicsSustainable Agrifood SystemsSustainable IntensificationWheat

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