Abstract
Key message
Testcross is the worst mating design to use as a training set to predict maize single-crosses that would be obtained through full diallel or North Carolina design II.
Abstract
Even though many papers have been published about genomic prediction (GP) in maize, the best mating design to build the training population has not been defined yet. Such design must maximize the accuracy given constraints on costs and on the logistics of the crosses to be made. Hence, the aims of this work were: (1) empirically evaluate the effect of the mating designs, used as training set, on genomic selection to predict maize single-crosses obtained through full diallel and North Carolina design II, (2) and identify the possibility of reducing the number of crosses and parents to compose these training sets. Our results suggest that testcross is the worst mating design to use as a training set to predict maize single-crosses that would be obtained through full diallel or North Carolina design II. Moreover, North Carolina design II is the best training set to predict hybrids taken from full diallel. However, hybrids from full diallel and North Carolina design II can be well predicted using optimized training sets, which also allow reducing the total number of crosses to be made. Nevertheless, the number of parents and the crosses per parent in the training sets should be maximized.
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23 May 2018
Unfortunately, the first author name of the above-mentioned article was incorrectly published in the original publication. The complete correct name should read as follows:
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Acknowledgements
Fundação de Amparo a Pesquisa do Estado de São Paulo (FAPESP-2015/26251-5).
Funding
This project was supported by São Paulo Research Foundation-FAPESP (Process: 2013/24135-2; 2015/26251-5), Dupont-Pioneer (2015 Dupont Young Professor Award), and National Council Coordination for the Scientific and Technological Development (CNPq).
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Communicated by Marcos Malosetti.
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Fristche-Neto, R., Akdemir, D. & Jannink, JL. Accuracy of genomic selection to predict maize single-crosses obtained through different mating designs. Theor Appl Genet 131, 1153–1162 (2018). https://doi.org/10.1007/s00122-018-3068-8
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DOI: https://doi.org/10.1007/s00122-018-3068-8