Literature DB >> 25052155

Redesigning the exploitation of wheat genetic resources.

C Friedrich H Longin1, Jochen C Reif2.   

Abstract

More than half a million wheat genetic resources are resting in gene banks worldwide. Unlocking their hidden favorable genetic diversity for breeding is pivotal for enhancing grain yield potential, and averting future food shortages. Here, we propose exploiting recent advances in hybrid wheat technology to uncover the masked breeding values of wheat genetic resources. The gathered phenotypic information will enable a targeted choice of accessions with high value for pre-breeding among this plethora of genetic resources. We intend to provoke a paradigm shift in pre-breeding strategies for grain yield, moving away from allele mining toward genome-wide selection to bridge the yield gap between genetic resources and elite breeding pools.
Copyright © 2014 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Genetic resources; allele mining; genome-wide selection; hybrid technology; wheat

Mesh:

Year:  2014        PMID: 25052155     DOI: 10.1016/j.tplants.2014.06.012

Source DB:  PubMed          Journal:  Trends Plant Sci        ISSN: 1360-1385            Impact factor:   18.313


  25 in total

Review 1.  Challenges and prospects for a potential allohexaploid Brassica crop.

Authors:  Kangni Zhang; Annaliese S Mason; Muhammad A Farooq; Faisal Islam; Daniela Quezada-Martinez; Dandan Hu; Su Yang; Jun Zou; Weijun Zhou
Journal:  Theor Appl Genet       Date:  2021-06-04       Impact factor: 5.699

2.  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

3.  Genomics-informed prebreeding unlocks the diversity in genebanks for wheat improvement.

Authors:  Albert W Schulthess; Sandip M Kale; Fang Liu; Yusheng Zhao; Norman Philipp; Maximilian Rembe; Yong Jiang; Ulrike Beukert; Albrecht Serfling; Axel Himmelbach; Jörg Fuchs; Markus Oppermann; Stephan Weise; Philipp H G Boeven; Johannes Schacht; C Friedrich H Longin; Sonja Kollers; Nina Pfeiffer; Viktor Korzun; Matthias Lange; Uwe Scholz; Nils Stein; Martin Mascher; Jochen C Reif
Journal:  Nat Genet       Date:  2022-10-04       Impact factor: 41.307

Review 4.  Advances in integrated genomic selection for rapid genetic gain in crop improvement: a review.

Authors:  C Anilkumar; N C Sunitha; Narayana Bhat Devate; S Ramesh
Journal:  Planta       Date:  2022-09-23       Impact factor: 4.540

Review 5.  Wheat genetic resources in the post-genomics era: promise and challenges.

Authors:  Awais Rasheed; Abdul Mujeeb-Kazi; Francis Chuks Ogbonnaya; Zhonghu He; Sanjaya Rajaram
Journal:  Ann Bot       Date:  2018-03-14       Impact factor: 4.357

Review 6.  Accelerating crop genetic gains with genomic selection.

Authors:  Kai Peter Voss-Fels; Mark Cooper; Ben John Hayes
Journal:  Theor Appl Genet       Date:  2018-12-19       Impact factor: 5.699

7.  Discovering new alleles for yellow spot resistance in the Vavilov wheat collection.

Authors:  Eric G Dinglasan; Dharmendra Singh; Manisha Shankar; Olga Afanasenko; Greg Platz; Ian D Godwin; Kai P Voss-Fels; Lee T Hickey
Journal:  Theor Appl Genet       Date:  2018-10-16       Impact factor: 5.699

8.  Bayesian optimization for genomic selection: a method for discovering the best genotype among a large number of candidates.

Authors:  Ryokei Tanaka; Hiroyoshi Iwata
Journal:  Theor Appl Genet       Date:  2017-10-06       Impact factor: 5.699

9.  Can spelt wheat be used as heterotic group for hybrid wheat breeding?

Authors:  Wessam Akel; Patrick Thorwarth; Vilson Mirdita; Elmar A Weissman; Guozheng Liu; Tobias Würschum; C Friedrich H Longin
Journal:  Theor Appl Genet       Date:  2018-01-16       Impact factor: 5.699

10.  Tapping the genetic diversity of landraces in allogamous crops with doubled haploid lines: a case study from European flint maize.

Authors:  Juliane Böhm; Wolfgang Schipprack; H Friedrich Utz; Albrecht E Melchinger
Journal:  Theor Appl Genet       Date:  2017-02-13       Impact factor: 5.699

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