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Multi-trait, multi-environment genomic prediction of durum wheat with genomic best linear unbiased predictor and deep learning methods


Type:
Article
Title:
Multi-trait, multi-environment genomic prediction of durum wheat with genomic best linear unbiased predictor and deep learning methods
Author:
Montesinos-Lopez, O.A.;
Montesinos-Lopez, O.A.
ORCID iD iconhttps://orcid.org/0000-0002-3973-6547
ScopusScopus ID
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Montesinos-Lopez, A.;
Tuberosa, R.;
Tuberosa, R.
ORCID iD iconhttps://orcid.org/0000-0001-9143-9569
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Maccaferri, M.;
Maccaferri, M.
ORCID iD iconhttps://orcid.org/0000-0002-1935-3282
ScopusScopus ID
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Sciara, G.;
Ammar, K.;
ORCID iD icon
Ammar, K.
ORCID iD iconhttps://orcid.org/0000-0003-2436-9200
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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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Year:
2019
Journal:
Frontiers in Plant Science
Journal volume:
10
Journal issue:
art. 1311
DOI:
10.3389/fpls.2019.01311
Place of Publication:
Switzerland
Publisher:
Frontiers
Citation:
Multi-trait, multi-environment genomic prediction of durum wheat with genomic best linear unbiased predictor and deep learning methods. 2019. Montesinos-Lopez, O.A.; Montesinos-Lopez, A.; Tuberosa, R.; Maccaferri, M.; Sciara, G.; Ammar, K.; Crossa, J. 10 (art. 1311) DOI: 10.3389/fpls.2019.01311 Frontiers.

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  • Genetic Resources
  • Wheat

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Genetic ResourcesInstitutionalIntegrated DevelopmentMaizeSocioeconomicsSustainable IntensificationWheat

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