Literature DB >> 31595338

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

Antoine Allier1,2, Simon Teyssèdre2, Christina Lehermeier2, Alain Charcosset1, Laurence Moreau3.   

Abstract

KEY MESSAGE: Collaborative diversity panels and genomic prediction seem relevant to identify and harness genetic resources for polygenic trait-specific enrichment of elite germplasms. In plant breeding, genetic diversity is important to maintain the pace of genetic gain and the ability to respond to new challenges in a context of climatic and social expectation changes. Many genetic resources are accessible to breeders but cannot all be considered for broadening the genetic diversity of elite germplasm. This study presents the use of genomic predictions trained on a collaborative diversity panel, which assembles genetic resources and elite lines, to identify resources to enrich an elite germplasm. A maize collaborative panel (386 lines) was considered to estimate genome-wide marker effects. Relevant predictive abilities (0.40-0.55) were observed on a large population of private elite materials, which supported the interest of such a collaborative panel for diversity management perspectives. Grain-yield estimated marker effects were used to select a donor that best complements an elite recipient at individual loci or haplotype segments, or that is expected to give the best-performing progeny with the elite. Among existing and new criteria that were compared, some gave more weight to the donor-elite complementarity than to the donor value, and appeared more adapted to long-term objective. We extended this approach to the selection of a set of donors complementing an elite population. We defined a crossing plan between identified donors and elite recipients. Our results illustrated how collaborative projects based on diversity panels including both public resources and elite germplasm can contribute to a better characterization of genetic resources in view of their use to enrich elite germplasm.

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Year:  2019        PMID: 31595338     DOI: 10.1007/s00122-019-03451-9

Source DB:  PubMed          Journal:  Theor Appl Genet        ISSN: 0040-5752            Impact factor:   5.699


  28 in total

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Authors:  Brian L Browning; Sharon R Browning
Journal:  Am J Hum Genet       Date:  2016-01-07       Impact factor: 11.025

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

Authors:  Sharon R Browning; Brian L Browning
Journal:  Am J Hum Genet       Date:  2007-09-21       Impact factor: 11.025

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

Authors:  Hans D Daetwyler; Matthew J Hayden; German C Spangenberg; Ben J Hayes
Journal:  Genetics       Date:  2015-06-19       Impact factor: 4.562

Review 4.  Genomic Selection in Plant Breeding: Methods, Models, and Perspectives.

Authors:  José Crossa; Paulino Pérez-Rodríguez; Jaime Cuevas; Osval Montesinos-López; Diego Jarquín; Gustavo de Los Campos; Juan Burgueño; Juan M González-Camacho; Sergio Pérez-Elizalde; Yoseph Beyene; Susanne Dreisigacker; Ravi Singh; Xuecai Zhang; Manje Gowda; Manish Roorkiwal; Jessica Rutkoski; Rajeev K Varshney
Journal:  Trends Plant Sci       Date:  2017-09-28       Impact factor: 18.313

5.  Linkage disequilibrium with linkage analysis of multiline crosses reveals different multiallelic QTL for hybrid performance in the flint and dent heterotic groups of maize.

Authors:  Héloïse Giraud; Christina Lehermeier; Eva Bauer; Matthieu Falque; Vincent Segura; Cyril Bauland; Christian Camisan; Laura Campo; Nina Meyer; Nicolas Ranc; Wolfgang Schipprack; Pascal Flament; Albrecht E Melchinger; Monica Menz; Jesús Moreno-González; Milena Ouzunova; Alain Charcosset; Chris-Carolin Schön; Laurence Moreau
Journal:  Genetics       Date:  2014-09-29       Impact factor: 4.562

6.  The Genomic Impacts of Drift and Selection for Hybrid Performance in Maize.

Authors:  Justin P Gerke; Jode W Edwards; Katherine E Guill; Jeffrey Ross-Ibarra; Michael D McMullen
Journal:  Genetics       Date:  2015-09-18       Impact factor: 4.562

7.  Genomic Prediction Within and Among Doubled-Haploid Libraries from Maize Landraces.

Authors:  Pedro C Brauner; Dominik Müller; Pascal Schopp; Juliane Böhm; Eva Bauer; Chris-Carolin Schön; Albrecht E Melchinger
Journal:  Genetics       Date:  2018-09-26       Impact factor: 4.562

8.  Testcross performance of doubled haploid lines from European flint maize landraces is promising for broadening the genetic base of elite germplasm.

Authors:  Pedro C Brauner; Wolfgang Schipprack; H Friedrich Utz; Eva Bauer; Manfred Mayer; Chris-Carolin Schön; Albrecht E Melchinger
Journal:  Theor Appl Genet       Date:  2019-03-15       Impact factor: 5.699

9.  Assessment of breeding programs sustainability: application of phenotypic and genomic indicators to a North European grain maize program.

Authors:  Antoine Allier; Simon Teyssèdre; Christina Lehermeier; Bruno Claustres; Stéphane Maltese; Stéphane Melkior; Laurence Moreau; Alain Charcosset
Journal:  Theor Appl Genet       Date:  2019-01-21       Impact factor: 5.699

10.  Intraspecific variation of recombination rate in maize.

Authors:  Eva Bauer; Matthieu Falque; Hildrun Walter; Cyril Bauland; Christian Camisan; Laura Campo; Nina Meyer; Nicolas Ranc; Renaud Rincent; Wolfgang Schipprack; Thomas Altmann; Pascal Flament; Albrecht E Melchinger; Monica Menz; Jesús Moreno-González; Milena Ouzunova; Pedro Revilla; Alain Charcosset; Olivier C Martin; Chris-Carolin Schön
Journal:  Genome Biol       Date:  2013       Impact factor: 13.583

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  7 in total

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Authors:  Santosh Sharma; Shannon R M Pinson; David R Gealy; Jeremy D Edwards
Journal:  G3 (Bethesda)       Date:  2021-09-27       Impact factor: 3.154

2.  Physiological adaptive traits are a potential allele reservoir for maize genetic progress under challenging conditions.

Authors:  Claude Welcker; Nadir Abusamra Spencer; Olivier Turc; Italo Granato; Romain Chapuis; Delphine Madur; Katia Beauchene; Brigitte Gouesnard; Xavier Draye; Carine Palaffre; Josiane Lorgeou; Stephane Melkior; Colin Guillaume; Thomas Presterl; Alain Murigneux; Randall J Wisser; Emilie J Millet; Fred van Eeuwijk; Alain Charcosset; François Tardieu
Journal:  Nat Commun       Date:  2022-06-09       Impact factor: 17.694

Review 3.  Heterosis and Hybrid Crop Breeding: A Multidisciplinary Review.

Authors:  Marlee R Labroo; Anthony J Studer; Jessica E Rutkoski
Journal:  Front Genet       Date:  2021-02-24       Impact factor: 4.599

4.  Impact of early genomic prediction for recurrent selection in an upland rice synthetic population.

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Journal:  G3 (Bethesda)       Date:  2021-12-08       Impact factor: 3.154

5.  Origin Specific Genomic Selection: A Simple Process To Optimize the Favorable Contribution of Parents to Progeny.

Authors:  Chin Jian Yang; Rajiv Sharma; Gregor Gorjanc; Sarah Hearne; Wayne Powell; Ian Mackay
Journal:  G3 (Bethesda)       Date:  2020-07-07       Impact factor: 3.154

6.  Optimized breeding strategies to harness genetic resources with different performance levels.

Authors:  Antoine Allier; Simon Teyssèdre; Christina Lehermeier; Laurence Moreau; Alain Charcosset
Journal:  BMC Genomics       Date:  2020-05-11       Impact factor: 3.969

7.  Deep scoping: a breeding strategy to preserve, reintroduce and exploit genetic variation.

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Journal:  Theor Appl Genet       Date:  2021-08-13       Impact factor: 5.699

  7 in total

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