Literature DB >> 30488192

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

Maximilian Rembe1, Yusheng Zhao1, Yong Jiang1, Jochen C Reif2.   

Abstract

KEY MESSAGE: Using a two-part breeding strategy based on a population improvement and a product development component can leverage hybrid wheat breeding. Despite the technological advance of methods to facilitate hybrid breeding in self-pollinating crops, line breeding is still the dominating breeding strategy. This is likely due to a higher long-term selection gain in line compared to hybrid breeding. In this respect, recent studies on two-part strategies splitting the breeding program into a population improvement and a product development component could mark a trend reversal. Here, an overview of experimental and simulation-based studies exploring the possibilities to integrate genome-wide prediction into recurrent selection is given. Furthermore, possibilities to make use of recurrent selection for inter-population improvement are discussed. Current findings of simulation studies and quantitative genetic considerations suggest that long-term selection gain of hybrid breeding can be increased by implementing a two-part selection strategy based on reciprocal recurrent genomic selection. This would strengthen the competitiveness of hybrid versus line breeding facilitating to develop outstanding hybrid varieties also for self-pollinating plants such as wheat.

Entities:  

Mesh:

Year:  2018        PMID: 30488192     DOI: 10.1007/s00122-018-3244-x

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


  48 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

Review 2.  Biotechnology in the 1930s: the development of hybrid maize.

Authors:  D N Duvick
Journal:  Nat Rev Genet       Date:  2001-01       Impact factor: 53.242

3.  [COVARIANCE BETWEEN RELATIVES IN A GENE-ORTHOGONAL POPULATION. I. GENERAL THEORY].

Authors:  F W SCHNELL
Journal:  Biom Z       Date:  1965

4.  Prediction of response to marker-assisted and genomic selection using selection index theory.

Authors:  J C M Dekkers
Journal:  J Anim Breed Genet       Date:  2007-12       Impact factor: 2.380

5.  The impact of genetic relationship information on genome-assisted breeding values.

Authors:  D Habier; R L Fernando; J C M Dekkers
Journal:  Genetics       Date:  2007-12       Impact factor: 4.562

6.  Comparison of genomic and traditional BLUP-estimated breeding value accuracy and selection response under alternative trait and genomic parameters.

Authors:  W M Muir
Journal:  J Anim Breed Genet       Date:  2007-12       Impact factor: 2.380

7.  Genomic selection: prediction of accuracy and maximisation of long term response.

Authors:  Mike Goddard
Journal:  Genetica       Date:  2008-08-14       Impact factor: 1.082

8.  Efficient methods to compute genomic predictions.

Authors:  P M VanRaden
Journal:  J Dairy Sci       Date:  2008-11       Impact factor: 4.034

9.  Unraveling epistasis with triple testcross progenies of near-isogenic lines.

Authors:  Jochen C Reif; Barbara Kusterer; Hans-Peter Piepho; Rhonda C Meyer; Thomas Altmann; Chris C Schön; Albrecht E Melchinger
Journal:  Genetics       Date:  2008-11-03       Impact factor: 4.562

10.  Accuracy of breeding values of 'unrelated' individuals predicted by dense SNP genotyping.

Authors:  Theo H E Meuwissen
Journal:  Genet Sel Evol       Date:  2009-06-11       Impact factor: 4.297

View more
  7 in total

1.  Genomic Prediction Methods Accounting for Nonadditive Genetic Effects.

Authors:  Luis Varona; Andres Legarra; Miguel A Toro; Zulma G Vitezica
Journal:  Methods Mol Biol       Date:  2022

Review 2.  Hybrid wheat: past, present and future.

Authors:  Pushpendra Kumar Gupta; Harindra Singh Balyan; Vijay Gahlaut; Gautam Saripalli; Bijendra Pal; Bhoja Raj Basnet; Arun Kumar Joshi
Journal:  Theor Appl Genet       Date:  2019-07-18       Impact factor: 5.699

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

Review 4.  Domestication of newly evolved hexaploid wheat-A journey of wild grass to cultivated wheat.

Authors:  Sasha Gohar; Muhammad Sajjad; Sana Zulfiqar; Jiajun Liu; Jiajie Wu; Mehboob-Ur- Rahman
Journal:  Front Genet       Date:  2022-10-03       Impact factor: 4.772

5.  Unlocking big data doubled the accuracy in predicting the grain yield in hybrid wheat.

Authors:  Yusheng Zhao; Patrick Thorwarth; Yong Jiang; Norman Philipp; Albert W Schulthess; Mario Gils; Philipp H G Boeven; C Friedrich H Longin; Johannes Schacht; Erhard Ebmeyer; Viktor Korzun; Vilson Mirdita; Jost Dörnte; Ulrike Avenhaus; Ralf Horbach; Hilmar Cöster; Josef Holzapfel; Ludwig Ramgraber; Simon Kühnle; Pierrick Varenne; Anne Starke; Friederike Schürmann; Sebastian Beier; Uwe Scholz; Fang Liu; Renate H Schmidt; Jochen C Reif
Journal:  Sci Adv       Date:  2021-06-11       Impact factor: 14.136

6.  Genomic Prediction of Yield Traits in Single-Cross Hybrid Rice (Oryza sativa L.).

Authors:  Marlee R Labroo; Jauhar Ali; M Umair Aslam; Erik Jon de Asis; Madonna A Dela Paz; M Anna Sevilla; Alexander E Lipka; Anthony J Studer; Jessica E Rutkoski
Journal:  Front Genet       Date:  2021-06-30       Impact factor: 4.599

7.  Strategies for Effective Use of Genomic Information in Crop Breeding Programs Serving Africa and South Asia.

Authors:  Nicholas Santantonio; Sikiru Adeniyi Atanda; Yoseph Beyene; Rajeev K Varshney; Michael Olsen; Elizabeth Jones; Manish Roorkiwal; Manje Gowda; Chellapilla Bharadwaj; Pooran M Gaur; Xuecai Zhang; Kate Dreher; Claudio Ayala-Hernández; Jose Crossa; Paulino Pérez-Rodríguez; Abhishek Rathore; Star Yanxin Gao; Susan McCouch; Kelly R Robbins
Journal:  Front Plant Sci       Date:  2020-03-27       Impact factor: 5.753

  7 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.