Literature DB >> 26566822

Breeding schemes for the implementation of genomic selection in wheat (Triticum spp.).

Filippo M Bassi1, Alison R Bentley2, Gilles Charmet3, Rodomiro Ortiz4, Jose Crossa5.   

Abstract

In the last decade the breeding technology referred to as 'genomic selection' (GS) has been implemented in a variety of species, with particular success in animal breeding. Recent research shows the potential of GS to reshape wheat breeding. Many authors have concluded that the estimated genetic gain per year applying GS is several times that of conventional breeding. GS is, however, a new technology for wheat breeding and many programs worldwide are still struggling to identify the best strategy for its implementation. This article provides practical guidelines on the key considerations when implementing GS. A review of the existing GS literature for a range of species is provided and used to prime breeder-oriented considerations on the practical applications of GS. Furthermore, this article discusses potential breeding schemes for GS, genotyping considerations, and methods for effective training population design. The components of selection intensity, progress toward inbreeding in half- or full-sibs recurrent schemes, and the generation of selection are also presented.
Copyright © 2015 The Authors. Published by Elsevier Ireland Ltd.. All rights reserved.

Entities:  

Keywords:  Breeding value; Genetic gain; Genotype×environment interaction; Marker-aided breeding; Quantitative trait loci

Mesh:

Year:  2015        PMID: 26566822     DOI: 10.1016/j.plantsci.2015.08.021

Source DB:  PubMed          Journal:  Plant Sci        ISSN: 0168-9452            Impact factor:   4.729


  72 in total

1.  Optimum breeding strategies using genomic selection for hybrid breeding in wheat, maize, rye, barley, rice and triticale.

Authors:  Jose J Marulanda; Xuefei Mi; Albrecht E Melchinger; Jian-Long Xu; T Würschum; C Friedrich H Longin
Journal:  Theor Appl Genet       Date:  2016-07-07       Impact factor: 5.699

2.  Efficiency of genomic selection for breeding population design and phenotype prediction in tomato.

Authors:  E Yamamoto; H Matsunaga; A Onogi; A Ohyama; K Miyatake; H Yamaguchi; T Nunome; H Iwata; H Fukuoka
Journal:  Heredity (Edinb)       Date:  2016-09-14       Impact factor: 3.821

3.  Metabolome-wide association studies for agronomic traits of rice.

Authors:  Julong Wei; Aiguo Wang; Ruidong Li; Han Qu; Zhenyu Jia
Journal:  Heredity (Edinb)       Date:  2017-12-11       Impact factor: 3.821

Review 4.  Prospects of next generation sequencing in lentil breeding.

Authors:  Jitendra Kumar; Debjyoti Sen Gupta
Journal:  Mol Biol Rep       Date:  2020-10-10       Impact factor: 2.316

5.  Genomic Prediction with Pedigree and Genotype × Environment Interaction in Spring Wheat Grown in South and West Asia, North Africa, and Mexico.

Authors:  Sivakumar Sukumaran; Jose Crossa; Diego Jarquin; Marta Lopes; Matthew P Reynolds
Journal:  G3 (Bethesda)       Date:  2017-02-09       Impact factor: 3.154

6.  Assessing the expected response to genomic selection of individuals and families in Eucalyptus breeding with an additive-dominant model.

Authors:  R T Resende; M D V Resende; F F Silva; C F Azevedo; E K Takahashi; O B Silva-Junior; D Grattapaglia
Journal:  Heredity (Edinb)       Date:  2017-07-05       Impact factor: 3.821

7.  Breeding Value of Primary Synthetic Wheat Genotypes for Grain Yield.

Authors:  Jafar Jafarzadeh; David Bonnett; Jean-Luc Jannink; Deniz Akdemir; Susanne Dreisigacker; Mark E Sorrells
Journal:  PLoS One       Date:  2016-09-22       Impact factor: 3.240

Review 8.  Molecular and genetic bases of heat stress responses in crop plants and breeding for increased resilience and productivity.

Authors:  Michela Janni; Mariolina Gullì; Elena Maestri; Marta Marmiroli; Babu Valliyodan; Henry T Nguyen; Nelson Marmiroli
Journal:  J Exp Bot       Date:  2020-06-26       Impact factor: 6.992

9.  Extension of a haplotype-based genomic prediction model to manage multi-environment wheat data using environmental covariates.

Authors:  Sang He; Rebecca Thistlethwaite; Kerrie Forrest; Fan Shi; Matthew J Hayden; Richard Trethowan; Hans D Daetwyler
Journal:  Theor Appl Genet       Date:  2019-08-21       Impact factor: 5.699

10.  An experimental approach for estimating the genomic selection advantage for Fusarium head blight and Septoria tritici blotch in winter wheat.

Authors:  Cathérine Pauline Herter; Erhard Ebmeyer; Sonja Kollers; Viktor Korzun; Thomas Miedaner
Journal:  Theor Appl Genet       Date:  2019-05-29       Impact factor: 5.699

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.