Genomic Selection for Crop Improvement : New Molecular Breeding Strategies for Crop Improvement / edited by Rajeev K. Varshney, Manish Roorkiwal, Mark E. Sorrells

Contributor(s):

Resource type: Ressourcentyp: Buch (Online)Book (Online)Language: English Series: SpringerLink Bücher | Springer eBook Collection Biomedical and Life SciencesPublisher: Cham : Springer, 2017Description: Online-Ressource (XII, 258 p. 14 illus., 8 illus. in color, online resource)ISBN:

9783319631707

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Additional physical formats: 9783319631684 | Erscheint auch als: 978-3-319-63168-4 Druck-Ausgabe | Printed edition: 9783319631684 LOC classification:

S1-S972

DOI: DOI: 10.1007/978-3-319-63170-7Online resources:

Summary: Genomic Selection for Crop Improvement serves as handbook for users by providing basic as well as advanced understandings of genomic selection. This useful review explains germplasm use, phenotyping evaluation, marker genotyping methods, and statistical models involved in genomic selection. It also includes examples of ongoing activities of genomic selection for crop improvement and efforts initiated to deploy the genomic selection in some important crops. In order to understand the potential of GS breeding, it is high time to bring complete information in the form of a book that can serve as a ready reference for geneticist and plant breedersSummary: Forward -- Preface -- Genomic Selection for Crop Improvement: An Introduction -- Training population design and resource allocation for genomic selection in plant breeding -- Derivation of Linear Models for Quantitative Traits by Bayesian Estimation with Gibbs Sampling -- Bayesian genomic-enabled prediction models for ordinal and count data -- Genomic Selection for Small Grains Improvement -- Current status and prospects of genomic selection in legumes -- Genomic Selection in Hybrid Breeding -- Opportunities and Challenges to Implementing Genomic Selection in Clonally Propagated Crops -- Status and perspectives of Genomic Selection in forest tree breedingPPN: PPN: 1658632508Package identifier: Produktsigel: ZDB-2-SBL

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