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Improving prediction accuracy and selection of open-pollinated seed-lots in Eucalyptus dunnii Maiden using a multivariate mixed model approach.

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Title: Improving prediction accuracy and selection of open-pollinated seed-lots in Eucalyptus dunnii Maiden using a multivariate mixed model approach.
Authors: Hardner, Craig1 craig.hardner@uq.edu.au, Healey, Adam a.healey1@uq.edu.au, Downes, Geoff2 trooper1325@gmail.com, Herberling, Mónica3 monica.heberling@montesdelplata.com.uy, Gore, Peter4 pgore@seedenergy.com.au
Source: Annals of Forest Science (BioMed Central). Dec2016, Vol. 73 Issue 4, p1035-1046. 12p.
Database: Environment Complete
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Header DbId: eih
DbLabel: Environment Complete
An: 119973987
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PubType: Academic Journal
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  Data: <searchLink fieldCode="JN" term="%22Annals+of+Forest+Science+%28BioMed+Central%29%22">Annals of Forest Science (BioMed Central)</searchLink>. Dec2016, Vol. 73 Issue 4, p1035-1046. 12p.
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=eih&AN=119973987
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        Value: 10.1007/s13595-016-0587-9
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      – Code: eng
        Text: English
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        StartPage: 1035
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      – TitleFull: Improving prediction accuracy and selection of open-pollinated seed-lots in Eucalyptus dunnii Maiden using a multivariate mixed model approach.
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              Text: Dec2016
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              Y: 2016
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