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

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          Abstract

          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.

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          Author and article information

          Journal
          Trends Plant Sci.
          Trends in plant science
          Elsevier BV
          1878-4372
          1360-1385
          Nov 2017
          : 22
          : 11
          Affiliations
          [1 ] International Maize and Wheat Improvement Center (CIMMYT), Apdo. Postal 6-641, 06600, Mexico City, Mexico. Electronic address: j.crossa@cgiar.org.
          [2 ] Colegio de Postgraduados, Montecillo, Texcoco, 56230, Edo. de Mexico, Mexico.
          [3 ] Universidad de Quintana Roo, Quintana Roo, 77019, Mexico.
          [4 ] Facultad de Telemática, Universidad de Colima, Colima, 28040, Mexico.
          [5 ] Department of Agronomy and Horticulture, University of Nebraska-Lincoln, 321 Keim Hall, Lincoln, NE 68503-0915, USA.
          [6 ] Department of Epidemiology & Biostatistics, Michigan State University, 909 Fee Road, Room B601, East Lansing, MI 48824, USA.
          [7 ] International Maize and Wheat Improvement Center (CIMMYT), Apdo. Postal 6-641, 06600, Mexico City, Mexico.
          [8 ] International Crops Research Institute for the Semi-Arid Tropics (ICRISAT), Patancheru 502 324, Telangana, India.
          [9 ] International Rice Research Institute, Los Baños, 4030, Philippines.
          [10 ] International Crops Research Institute for the Semi-Arid Tropics (ICRISAT), Patancheru 502 324, Telangana, India. Electronic address: R.K.Varshney@cgiar.org.
          Article
          S1360-1385(17)30184-X
          10.1016/j.tplants.2017.08.011
          28965742
          597ea03e-d4d6-40a2-82b3-680cc83f5949
          History

          genomic selection and genetic gains in crop breeding populations,genomic-enabled prediction accuracy,model complexity,models for genomic genotype×environment interaction,genomic selection

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