Literature DB >> 26092719

Selection on Optimal Haploid Value Increases Genetic Gain and Preserves More Genetic Diversity Relative to Genomic Selection.

Hans D Daetwyler1, Matthew J Hayden2, German C Spangenberg2, Ben J Hayes2.   

Abstract

Doubled haploids are routinely created and phenotypically selected in plant breeding programs to accelerate the breeding cycle. Genomic selection, which makes use of both phenotypes and genotypes, has been shown to further improve genetic gain through prediction of performance before or without phenotypic characterization of novel germplasm. Additional opportunities exist to combine genomic prediction methods with the creation of doubled haploids. Here we propose an extension to genomic selection, optimal haploid value (OHV) selection, which predicts the best doubled haploid that can be produced from a segregating plant. This method focuses selection on the haplotype and optimizes the breeding program toward its end goal of generating an elite fixed line. We rigorously tested OHV selection breeding programs, using computer simulation, and show that it results in up to 0.6 standard deviations more genetic gain than genomic selection. At the same time, OHV selection preserved a substantially greater amount of genetic diversity in the population than genomic selection, which is important to achieve long-term genetic gain in breeding populations.
Copyright © 2015 by the Genetics Society of America.

Keywords:  GenPred; doubled haploid; genetic diversity; genetic gain; genomic selection; haplotype; shared data resource

Mesh:

Year:  2015        PMID: 26092719      PMCID: PMC4574260          DOI: 10.1534/genetics.115.178038

Source DB:  PubMed          Journal:  Genetics        ISSN: 0016-6731            Impact factor:   4.562


  10 in total

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

Authors:  T H Meuwissen; B J Hayes; M E Goddard
Journal:  Genetics       Date:  2001-04       Impact factor: 4.562

2.  The organization and rate of evolution of wheat genomes are correlated with recombination rates along chromosome arms.

Authors:  Eduard D Akhunov; Andrew W Goodyear; Shu Geng; Li-Li Qi; Benjamin Echalier; Bikram S Gill; J Perry Gustafson; Gerard Lazo; Shiaoman Chao; Olin D Anderson; Anna M Linkiewicz; Jorge Dubcovsky; Mauricio La Rota; Mark E Sorrells; Deshui Zhang; Henry T Nguyen; Venugopal Kalavacharla; Khwaja Hossain; Shahryar F Kianian; Junhua Peng; Nora L V Lapitan; Jose L Gonzalez-Hernandez; James A Anderson; Dong-Woog Choi; Timothy J Close; Muharrem Dilbirligi; Kulvinder S Gill; M Kay Walker-Simmons; Camille Steber; Patrick E McGuire; Calvin O Qualset; Jan Dvorak
Journal:  Genome Res       Date:  2003-04-14       Impact factor: 9.043

3.  Use of haplotypes to estimate Mendelian sampling effects and selection limits.

Authors:  J B Cole; P M VanRaden
Journal:  J Anim Breed Genet       Date:  2011-04-13       Impact factor: 2.380

4.  Visualization of results from genomic evaluations.

Authors:  J B Cole; P M VanRaden
Journal:  J Dairy Sci       Date:  2010-06       Impact factor: 4.034

5.  Improving accuracy of genomic predictions within and between dairy cattle breeds with imputed high-density single nucleotide polymorphism panels.

Authors:  M Erbe; B J Hayes; L K Matukumalli; S Goswami; P J Bowman; C M Reich; B A Mason; M E Goddard
Journal:  J Dairy Sci       Date:  2012-07       Impact factor: 4.034

6.  Long-term selection strategies for complex traits using high-density genetic markers.

Authors:  K E Kemper; P J Bowman; J E Pryce; B J Hayes; M E Goddard
Journal:  J Dairy Sci       Date:  2012-08       Impact factor: 4.034

7.  Genome-wide comparative diversity uncovers multiple targets of selection for improvement in hexaploid wheat landraces and cultivars.

Authors:  Colin R Cavanagh; Shiaoman Chao; Shichen Wang; Bevan Emma Huang; Stuart Stephen; Seifollah Kiani; Kerrie Forrest; Cyrille Saintenac; Gina L Brown-Guedira; Alina Akhunova; Deven See; Guihua Bai; Michael Pumphrey; Luxmi Tomar; Debbie Wong; Stephan Kong; Matthew Reynolds; Marta Lopez da Silva; Harold Bockelman; Luther Talbert; James A Anderson; Susanne Dreisigacker; Stephen Baenziger; Arron Carter; Viktor Korzun; Peter Laurent Morrell; Jorge Dubcovsky; Matthew K Morell; Mark E Sorrells; Matthew J Hayden; Eduard Akhunov
Journal:  Proc Natl Acad Sci U S A       Date:  2013-04-29       Impact factor: 11.205

8.  Dynamics of long-term genomic selection.

Authors:  Jean-Luc Jannink
Journal:  Genet Sel Evol       Date:  2010-08-16       Impact factor: 4.297

9.  Extension of the bayesian alphabet for genomic selection.

Authors:  David Habier; Rohan L Fernando; Kadir Kizilkaya; Dorian J Garrick
Journal:  BMC Bioinformatics       Date:  2011-05-23       Impact factor: 3.169

10.  Strategies for implementing genomic selection in family-based aquaculture breeding schemes: double haploid sib test populations.

Authors:  Kahsay G Nirea; Anna K Sonesson; John A Woolliams; Theo H E Meuwissen
Journal:  Genet Sel Evol       Date:  2012-10-30       Impact factor: 4.297

  10 in total
  26 in total

1.  The Predicted Cross Value for Genetic Introgression of Multiple Alleles.

Authors:  Ye Han; John N Cameron; Lizhi Wang; William D Beavis
Journal:  Genetics       Date:  2017-01-25       Impact factor: 4.562

2.  Meuwissen et al. on Genomic Selection.

Authors:  Dirk-Jan de Koning
Journal:  Genetics       Date:  2016-05       Impact factor: 4.562

3.  Genetic Gain Increases by Applying the Usefulness Criterion with Improved Variance Prediction in Selection of Crosses.

Authors:  Christina Lehermeier; Simon Teyssèdre; Chris-Carolin Schön
Journal:  Genetics       Date:  2017-10-16       Impact factor: 4.562

4.  Breeding Top Genotypes and Accelerating Response to Recurrent Selection by Selecting Parents with Greater Gametic Variance.

Authors:  Piter Bijma; Yvonne C J Wientjes; Mario P L Calus
Journal:  Genetics       Date:  2019-11-26       Impact factor: 4.562

5.  Multi-trait Genomic Selection Methods for Crop Improvement.

Authors:  Saba Moeinizade; Aaron Kusmec; Guiping Hu; Lizhi Wang; Patrick S Schnable
Journal:  Genetics       Date:  2020-06-01       Impact factor: 4.562

6.  Improving Response in Genomic Selection with a Population-Based Selection Strategy: Optimal Population Value Selection.

Authors:  Matthew Goiffon; Aaron Kusmec; Lizhi Wang; Guiping Hu; Patrick S Schnable
Journal:  Genetics       Date:  2017-05-19       Impact factor: 4.562

7.  Applications of Doubled Haploids in Plant Breeding and Applied Research.

Authors:  Jens Weyen
Journal:  Methods Mol Biol       Date:  2021

8.  Genomic prediction with a maize collaborative panel: identification of genetic resources to enrich elite breeding programs.

Authors:  Antoine Allier; Simon Teyssèdre; Christina Lehermeier; Alain Charcosset; Laurence Moreau
Journal:  Theor Appl Genet       Date:  2019-10-08       Impact factor: 5.699

Review 9.  Reciprocal recurrent genomic selection: an attractive tool to leverage hybrid wheat breeding.

Authors:  Maximilian Rembe; Yusheng Zhao; Yong Jiang; Jochen C Reif
Journal:  Theor Appl Genet       Date:  2018-11-28       Impact factor: 5.699

10.  Detection and validation of genomic regions associated with resistance to rust diseases in a worldwide hexaploid wheat landrace collection using BayesR and mixed linear model approaches.

Authors:  Raj K Pasam; Urmil Bansal; Hans D Daetwyler; Kerrie L Forrest; Debbie Wong; Joanna Petkowski; Nicholas Willey; Mandeep Randhawa; Mumta Chhetri; Hanif Miah; Josquin Tibbits; Harbans Bariana; Matthew J Hayden
Journal:  Theor Appl Genet       Date:  2017-03-02       Impact factor: 5.699

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