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Identification of genomic regions associated with agronomic and disease resistance traits in a large set of multiple DH populations


Type:
Article
Title:
Identification of genomic regions associated with agronomic and disease resistance traits in a large set of multiple DH populations
Creator:
Sadessa, K.;
Beyene, Y.;
ORCID iD icon
Beyene, Y.
ORCID iD iconhttps://orcid.org/0000-0001-7221-2617
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Ifie, B.E.;
Ifie, B.E.
ORCID iD iconhttps://orcid.org/0000-0001-9219-7477
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Mahabaleswara, S.L.;
ORCID iD icon
Mahabaleswara, S.L.
ORCID iD iconhttps://orcid.org/0000-0001-6438-6502
ScopusScopus ID
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Olsen, M.;
ORCID iD icon
Olsen, M.
ORCID iD iconhttps://orcid.org/0000-0002-8818-6238
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Ogugo, V.;
Ogugo, V.
ORCID iD iconhttps://orcid.org/0000-0003-1067-9283
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Dagne Wegary Gissa;
ORCID iD icon
Dagne Wegary Gissa
ORCID iD iconhttps://orcid.org/0000-0003-2301-4440
ScopusScopus ID
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Tongoona, P.;
Tongoona, P.
ORCID iD iconhttps://orcid.org/0000-0003-1030-8589
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Danquah, E.;
Danquah, E.
ORCID iD iconhttps://orcid.org/0000-0002-7870-0432
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Offei, S.K.;
Prasanna, B.M.;
ORCID iD icon
Prasanna, B.M.
ORCID iD iconhttps://orcid.org/0000-0002-5761-2273
ScopusScopus ID
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Gowda, M.
ORCID iD icon
Gowda, M.
ORCID iD iconhttps://orcid.org/0000-0003-4434-6364
ScopusScopus ID
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Year:
2022
URI:
https://hdl.handle.net/10883/21979
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:
Genes
Journal volume:
13
Journal issue:
2
Article number:
351
DOI:
10.3390/genes13020351
Place of Publication:
Basel (Switzerland)
Publisher:
MDPI
Citation:
Identification of genomic regions associated with agronomic and disease resistance traits in a large set of multiple DH populations. 2022. 13 (2) DOI: 10.3390/genes13020351 MDPI.

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CGIAR Initiatives

CGSpace URL:
https://hdl.handle.net/10568/126392

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Genetic ResourcesInstitutionalMaizeSocioeconomicsSustainable Agrifood SystemsSustainable IntensificationWheat

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