(Q30490151)

22 June 2017

title

When more is better: how data sharing would accelerate genomic selection of crop plants (English)

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22 June 2017

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2

Susan R McCouch

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22 June 2017

Jennifer E Spindel

1

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22 June 2017

language of work or name

English

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publication date

26 September 2016

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22 June 2017

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22 June 2017

volume

212

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22 June 2017

issue

4

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22 June 2017

page(s)

814-826

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Genome-based prediction of testcross values in maize

22 June 2017

cites work

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Genome-wide prediction of three important traits in bread wheat

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Integrating environmental covariates and crop modeling into the genomic selection framework to predict genotype by environment interactions

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

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A foundation for provitamin A biofortification of maize: genome-wide association and genomic prediction models of carotenoid levels

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Yield Trends Are Insufficient to Double Global Crop Production by 2050.

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The accuracy of prediction of genomic selection in elite hybrid rye populations surpasses the accuracy of marker-assisted selection and is equally augmented by multiple field evaluation locations and test years.

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Bridging the gap between marker-assisted and genomic selection of heading time and plant height in hybrid wheat

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21 January 2018

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21 January 2018

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Genomic Selection using Multiple Populations

21 January 2018

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Genomic Prediction of Breeding Values when Modeling Genotype × Environment Interaction using Pedigree and Dense Molecular Markers

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The use of unbalanced historical data for genomic selection in an international wheat breeding program

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Optimal Design of Preliminary Yield Trials with Genome-Wide Markers

21 January 2018

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Genomic Prediction of Genetic Values for Resistance to Wheat Rusts

21 January 2018

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21 January 2018

Identifiers

DOI

10.1111/NPH.14174

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22 June 2017

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