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Genome-enabled predictions for binomial traits in sugar beet populations

Genome-enabled predictions for binomial traits in sugar beet populations

http://www.wikidata.org/entity/Q35211360

about

A new polymorphism on chromosome 6 associated with bolting tendency in sugar beet.Estimating Trait Heritability in Highly Fecund Species.Genome-enabled predictions for fruit weight and quality from repeated records in European peach progenies.Accuracy and responses of genomic selection on key traits in apple breeding."Noisy beets": impact of phenotyping errors on genomic predictions for binary traits in Beta vulgaris Genomic prediction of unordered categorical traits: an application to subpopulation assignment in German Warmblood horses.An experimental validation of genomic selection in octoploid strawberry.Genetic Diversity and Physiological Performance of Portuguese Wild Beet (Beta vulgaris spp. maritima) from Three Contrasting Habitats.

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P2860

Genome-enabled predictions for binomial traits in sugar beet populations

http://www.wikidata.org/entity/Q35211360

description

2014 nî lūn-bûn

@nan

2014 թուականի Յուլիսին հրատարակուած գիտական յօդուած

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2014 թվականի հուլիսին հրատարակված գիտական հոդված

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2014年の論文

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2014年論文

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2014年論文

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2014年論文

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2014年論文

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2014年論文

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2014年论文

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name

Genome-enabled predictions for binomial traits in sugar beet populations

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Genome-enabled predictions for binomial traits in sugar beet populations

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type

label

Genome-enabled predictions for binomial traits in sugar beet populations

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Genome-enabled predictions for binomial traits in sugar beet populations

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prefLabel

Genome-enabled predictions for binomial traits in sugar beet populations

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Genome-enabled predictions for binomial traits in sugar beet populations

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Genome-enabled predictions for binomial traits in sugar beet populations

@en

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Alessandra Stella

http://www.w3.org/2001/XMLSchema#string

Chiara Broccanello

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Massimo Saccomani

http://www.w3.org/2001/XMLSchema#string

Piergiorgio Stevanato

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P2860

Accurate and robust genomic prediction of celiac disease using statistical learning

The genome of the recently domesticated crop plant sugar beet (Beta vulgaris)

Rapid and accurate haplotype phasing and missing-data inference for whole-genome association studies by use of localized haplotype clustering

Genomic selection for fruit quality traits in apple (Malus×domestica Borkh.)

Prediction of total genetic value using genome-wide dense marker maps

Predicting disease risk using bootstrap ranking and classification algorithms.

SNP discovery and allele frequency estimation by deep sequencing of reduced representation libraries.

Genomic-enabled prediction with classification algorithms.

The impact of genetic architecture on genome-wide evaluation methods

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

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1471-2156-15-87

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10.1186/1471-2156-15-87

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15

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Filippo Biscarini

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2014-07-22T00:00:00Z

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263734481

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