Evaluating the accuracy of genomic prediction of growth and wood traits in two Eucalyptus species and their F1 hybrids (Q32174604)

6 July 2017

title

Evaluating the accuracy of genomic prediction of growth and wood traits in two Eucalyptus species and their F1 hybrids (English)

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6 July 2017

Pär K Ingvarsson

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Dario Grattapaglia

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Biyue Tan

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6 July 2017

Gustavo Salgado Martins

series ordinal

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6 July 2017

Karina Zamprogno Ferreira

series ordinal

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6 July 2017

Björn Sundberg

series ordinal

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6 July 2017

publication date

29 June 2017

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6 July 2017

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6 July 2017

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6 July 2017

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6 July 2017

page(s)

110

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Using Genetic Distance to Infer the Accuracy of Genomic Prediction

6 July 2017

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21 June 2018

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21 June 2018

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21 June 2018

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21 June 2018

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21 January 2018

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21 January 2018

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21 January 2018

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21 January 2018

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21 January 2018

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Genomic selection in maritime pine

21 January 2018

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Exploring the areas of applicability of whole-genome prediction methods for Asian rice (Oryza sativa L.).

21 January 2018

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Detecting inbreeding depression for reproductive traits in Iberian pigs using genome-wide data

21 January 2018

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21 January 2018

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Using the genomic relationship matrix to predict the accuracy of genomic selection

21 January 2018

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21 January 2018

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21 January 2018

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Genomic selection for growth and wood quality in Eucalyptus: capturing the missing heritability and accelerating breeding for complex traits in forest trees

21 January 2018

1 reference

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10.1186/S12870-017-1059-6

21 January 2018

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DOI

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Dimensions Publication ID

6 July 2017

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6 July 2017

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