Genomic Selection in Plant Breeding: Methods, Models, and Perspectives

被引：953

作者：

Crossa, Jose ^{[1
]}

Perez-Rodriguez, Paulino ^{[2
]}

Cuevas, Jaime ^{[3
]}

Montesinos-Lopez, Osval ^{[4
]}

Jarquin, Diego ^{[5
]}

de los Campos, Gustavo ^{[6
]}

Burgueno, Juan ^{[1
]}

Gonzalez-Camacho, Juan M. ^{[2
]}

Perez-Elizalde, Sergio ^{[2
]}

Beyene, Yoseph ^{[1
]}

Dreisigacker, Susanne ^{[1
]}

Singh, Ravi ^{[1
]}

Zhang, Xuecai ^{[1
]}

Gowda, Manje ^{[1
]}

Roorkiwal, Manish ^{[7
]}

Rutkoski, Jessica ^{[8
]}

Varshney, Rajeev K. ^{[7
]}

机构：

[1] Int Maize & Wheat Improvement Ctr CIMMYT, Apdo Postal 6-641, Mexico City 06600, DF, Mexico

[2] Colegio Postgrad, Texcoco 56230, Edo De Mexico, Mexico

[3] Univ Quintana Roo, Quintana Roo 77019, Mexico

[4] Univ Colima, Fac Telemat, Colima 28040, Mexico

[5] Univ Nebraska, Dept Agron & Hort, 321 Keim Hall, Lincoln, NE 68503 USA

[6] Michigan State Univ, Dept Epidemiol & Biostat, 909 Fee Rd,Room B601, E Lansing, MI 48824 USA

[7] Int Crops Res Inst Semi Arid Trop, Patancheru 502324, Telangana, India

[8] Int Rice Res Inst, Los Banos 4030, Philippines

来源：

TRENDS IN PLANT SCIENCE | 2017年 / 22卷 / 11期

基金：

美国国家科学基金会;

关键词：

X ENVIRONMENT INTERACTION; ENABLED PREDICTION; QUANTITATIVE TRAITS; GENETIC VALUES; GRAIN-YIELD; GENOMEWIDE SELECTION; ASSISTED PREDICTION; MOLECULAR MARKERS; REGRESSION-MODELS; PEDIGREE;

D O I：

10.1016/j.tplants.2017.08.011

中图分类号：

Q94 [植物学];

学科分类号：

071001 ;

摘要：

Genomic selection (GS) facilitates the rapid selection of superior genotypes and accelerates the breeding cycle. In this review, we discuss the history, principles, and basis of GS and genomic-enabled prediction (GP) as well as the genetics and statistical complexities of GP models, including genomic genotype x environment (G x E) interactions. We also examine the accuracy of GP models and methods for two cereal crops and two legume crops based on random cross-validation. GS applied to maize breeding has shown tangible genetic gains. Based on GP results, we speculate how GS in germplasm enhancement (i.e., prebreeding) programs could accelerate the flow of genes from gene bank accessions to elite lines. Recent advances in hyperspectral image technology could be combined with GS and pedigree-assisted breeding.

引用

页码：961 / 975

页数：15

共 80 条

[1] Genomic Selection for Predicting Fusarium Head Blight Resistance in a Wheat Breeding Program [J].

Arruda, Marcio P. ;

Brown, Patrick J. ;

Lipka, Alexander E. ;

Krill, Allison M. ;

Thurber, Carrie ;

Kolb, Frederic L. .

PLANT GENOME, 2015, 8 (03)

[2] Genomic, Marker-Assisted, and Pedigree-BLUP Selection Methods for β-Glucan Concentration in Elite Oat [J].

Asoro, Franco G. ;

Newell, Mark A. ;

Beavis, William D. ;

Scott, M. Paul ;

Tinker, Nicholas A. ;

Jannink, Jean-Luc .

CROP SCIENCE, 2013, 53 (05) :1894-1906

[3]

Bellman R., 1961, Adaptive Control Processes: A Guided Tour, DOI DOI 10.1515/9781400874668

[4] Molecular markers and selection for complex traits in plants: Learning from the last 20 years [J].

Bernardo, Rex .

CROP SCIENCE, 2008, 48 (05) :1649-1664

[5] Prospects for genomewide selection for quantitative traits in maize [J].

Bernardo, Rex ;

Yu, Jianming .

CROP SCIENCE, 2007, 47 (03) :1082-1090

[6] Bandwagons I, too, have known [J].

Bernardo, Rex .

THEORETICAL AND APPLIED GENETICS, 2016, 129 (12) :2323-2332

[7] Genetic Gains in Grain Yield Through Genomic Selection in Eight Bi-parental Maize Populations under Drought Stress [J].

Beyene, Yoseph ;

Semagn, Kassa ;

Mugo, Stephen ;

Tarekegne, Amsal ;

Babu, Raman ;

Meisel, Barbara ;

Sehabiague, Pierre ;

Makumbi, Dan ;

Magorokosho, Cosmos ;

Oikeh, Sylvester ;

Gakunga, John ;

Vargas, Mateo ;

Olsen, Michael ;

Prasanna, Boddupalli M. ;

Banziger, Marianne ;

Crossa, Jose .

CROP SCIENCE, 2015, 55 (01) :154-163

[8] Genomic Prediction of Breeding Values when Modeling Genotype x Environment Interaction using Pedigree and Dense Molecular Markers [J].

Burgueno, Juan ;

de los Campos, Gustavo ;

Weigel, Kent ;

Crossa, Jose .

CROP SCIENCE, 2012, 52 (02) :707-719

[9] Genomewide Selection to Introgress Semidwarf Maize Germplasm into US Corn Belt Inbreds [J].

Combs, Emily ;

Bernardo, Rex .

CROP SCIENCE, 2013, 53 (04) :1427-1436

[10] Genomic prediction in CIMMYT maize and wheat breeding programs [J].

Crossa, J. ;

Perez, P. ;

Hickey, J. ;

Burgueno, J. ;

Ornella, L. ;

Ceron-Rojas, J. ;

Zhang, X. ;

Dreisigacker, S. ;

Babu, R. ;

Li, Y. ;

Bonnett, D. ;

Mathews, K. .

HEREDITY, 2014, 112 (01) :48-60

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