Literature DB >> 35451792

Analyzing the Economic Effectiveness of Genomic Selection Relative to Conventional Breeding Approaches.

Aline Fugeray-Scarbel1, Sarah Ben-Sadoun2, Sophie Bouchet2, Stéphane Lemarié3.   

Abstract

Comparing the economic efficiency of alternative strategies for breeding requires to compare the genetic gain obtained with breeding schemes that represent the same total investment. In this chapter, we present a generic method to assess this economic efficiency for alternative breeding schemes. After presenting the baseline framework and the necessity of comparing breeding schemes with equivalent total investment, we propose one illustrative example on wheat breeding. In this application, we compare the use of conventional breeding and genomic selection. With this example, we explain the requirements and the different steps to implement this method. At last, we discuss several extensions of the baseline model.
© 2022. The Author(s), under exclusive license to Springer Science+Business Media, LLC, part of Springer Nature.

Entities:  

Keywords:  Breeding schemes; Cost evaluation; Economic efficiency; Genomic selection; Wheat breeding

Mesh:

Year:  2022        PMID: 35451792     DOI: 10.1007/978-1-0716-2205-6_22

Source DB:  PubMed          Journal:  Methods Mol Biol        ISSN: 1064-3745


  5 in total

1.  Optimizing the allocation of resources for genomic selection in one breeding cycle.

Authors:  Christian Riedelsheimer; Albrecht E Melchinger
Journal:  Theor Appl Genet       Date:  2013-08-27       Impact factor: 5.699

2.  Genomic selection in wheat: optimum allocation of test resources and comparison of breeding strategies for line and hybrid breeding.

Authors:  C Friedrich H Longin; Xuefei Mi; Tobias Würschum
Journal:  Theor Appl Genet       Date:  2015-04-16       Impact factor: 5.699

Review 3.  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

4.  High throughput SNP discovery and genotyping in hexaploid wheat.

Authors:  Hélène Rimbert; Benoît Darrier; Julien Navarro; Jonathan Kitt; Frédéric Choulet; Magalie Leveugle; Jorge Duarte; Nathalie Rivière; Kellye Eversole; Jacques Le Gouis; Alessandro Davassi; François Balfourier; Marie-Christine Le Paslier; Aurélie Berard; Dominique Brunel; Catherine Feuillet; Charles Poncet; Pierre Sourdille; Etienne Paux
Journal:  PLoS One       Date:  2018-01-02       Impact factor: 3.240

5.  AlphaSimR: an R package for breeding program simulations.

Authors:  R Chris Gaynor; Gregor Gorjanc; John M Hickey
Journal:  G3 (Bethesda)       Date:  2021-02-09       Impact factor: 3.154

  5 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.