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

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Relation http://oar.icrisat.org/10280/
http://dx.doi.org/10.1016/j.tplants.2017.08.011
10.1016/j.tplants.2017.08.011
 
Title Genomic Selection in Plant Breeding: Methods, Models, and Perspectives
 
Creator Crossa, J
Pérez-Rodríguez, P
Cuevas, J
Montesinos-López, O
Jarquín, D
de los Campos, G
Burgueño, J
González-Camacho, J M
Pérez-Elizalde, S
Beyene, Y
Dreisigacker, S
Singh, R
Zhang, X
Gowda, M
Roorkiwal, M
Rutkoski, J
Varshney, R K
 
Subject Food Production
Plant Breeding
Genetics and Genomics
Climate Change
Germplasm Collection
 
Description 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 × environment (G × 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.
 
Publisher Elsevier
 
Date 2017-11
 
Type Article
PeerReviewed
 
Format application/pdf
 
Language en
 
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Identifier http://oar.icrisat.org/10280/1/Genomic%20Selection%20in%20Plant%20Breeding%20Methods%2C%20Models%2C%20and%20Perspectives.pdf
Crossa, J and Pérez-Rodríguez, P and Cuevas, J and Montesinos-López, O and Jarquín, D and de los Campos, G and Burgueño, J and González-Camacho, J M and Pérez-Elizalde, S and Beyene, Y and Dreisigacker, S and Singh, R and Zhang, X and Gowda, M and Roorkiwal, M and Rutkoski, J and Varshney, R K (2017) Genomic Selection in Plant Breeding: Methods, Models, and Perspectives. Trends in Plant Science, 22 (11). pp. 961-975. ISSN 13601385