Premium
Plant Breeding with Genomic Selection: Gain per Unit Time and Cost
Author(s) -
Heffner Elliot L.,
Lorenz Aaron J.,
Jannink JeanLuc,
Sorrells Mark E.
Publication year - 2010
Publication title -
crop science
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.76
H-Index - 147
eISSN - 1435-0653
pISSN - 0011-183X
DOI - 10.2135/cropsci2009.11.0662
Subject(s) - genomic selection , genetic gain , biology , selection (genetic algorithm) , context (archaeology) , plant breeding , breeding program , best linear unbiased prediction , microbiology and biotechnology , marker assisted selection , zea mays , agronomy , quantitative trait locus , cultivar , genetic variation , genetics , computer science , genotype , machine learning , single nucleotide polymorphism , paleontology , gene
Advancements in genotyping are rapidly decreasing marker costs and increasing genome coverage. This is facilitating the use of marker‐assisted selection (MAS) in plant breeding. Commonly employed MAS strategies, however, are not well suited for agronomically important complex traits, requiring extra time for field‐based phenotyping to identify agronomically superior lines. Genomic selection (GS) is an emerging alternative to MAS that uses all marker information to calculate genomic estimated breeding values (GEBVs) for complex traits. Selections are made directly on GEBV without further phenotyping. We developed an analytical framework to (i) compare gains from MAS and GS for complex traits and (ii) provide a plant breeding context for interpreting results from studies on GEBV accuracy. We designed MAS and GS breeding strategies with equal budgets for a high‐investment maize ( Zea mays L.) program and a low‐investment winter wheat ( Triticum aestivum L.) program. Results indicate that GS can outperform MAS on a per‐year basis even at low GEBV accuracies. Using a previously reported GEBV accuracy of 0.53 for net merit in dairy cattle, expected annual gain from GS exceeded that of MAS by about threefold for maize and twofold for winter wheat. We conclude that if moderate selection accuracies can be achieved, GS could dramatically accelerate genetic gain through its shorter breeding cycle.