Accuracy of genomic selection methods in a standard data set of loblolly pine (Pinus taeda L.). (Q34137042)

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21 January 2020

title

Accuracy of genomic selection methods in a standard data set of loblolly pine (Pinus taeda L.). (English)

1 reference

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21 January 2020

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4

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21 January 2020

Timothy A. Martin

8

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21 January 2020

author name string

M F R Resende

1

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21 January 2020

P Muñoz

2

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21 January 2020

M D V Resende

3

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21 January 2020

R L Fernando

5

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21 January 2020

J M Davis

6

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21 January 2020

E J Jokela

7

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21 January 2020

G F Peter

9

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21 January 2020

M Kirst

10

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21 January 2020

language of work or name

English

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publication date

23 January 2012

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21 January 2020

number of pages

8

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inferred from page(s)

published in

Genetics

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21 January 2020

volume

190

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21 January 2020

issue

4

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21 January 2020

page(s)

1503-1510

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Accuracy of genomic prediction using low-density marker panels.

21 January 2020

cites work

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5 July 2018

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Patterns of population structure and environmental associations to aridity across the range of loblolly pine (Pinus taeda L., Pinaceae).

5 July 2018

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5 July 2018

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5 July 2018

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Invited review: Genomic selection in dairy cattle: progress and challenges

5 July 2018

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Performance of genomic selection in mice

5 July 2018

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5 July 2018

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Detection of a major gene for resistance to fusiform rust disease in loblolly pine by genomic mapping

5 July 2018

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5 July 2018

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LASSO with cross-validation for genomic selection.

28 October 2018

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Accuracy of genomic selection using stochastic search variable selection in Australian Holstein Friesian dairy cattle

28 October 2018

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28 October 2018

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Genetic dissection of fusiform rust and pitch canker disease traits in loblolly pine

28 October 2018

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Accelerating the domestication of trees using genomic selection: accuracy of prediction models across ages and environments

28 October 2018

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PubMed

https://pubmed.ncbi.nlm.nih.gov/22271763

12 December 2020

inferred from PubMed ID database lookup

Clonal variation in crown structure, absorbed photosynthetically active radiation and growth of loblolly pine and slash pine

1 reference

PubMed

https://pubmed.ncbi.nlm.nih.gov/22271763

12 December 2020

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Predicting energy balance for dairy cows using high-density single nucleotide polymorphism information

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PubMed

https://pubmed.ncbi.nlm.nih.gov/22271763

12 December 2020

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Identifiers

DOI

10.1534/GENETICS.111.137026

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21 January 2020

1 reference

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21 January 2020

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