Small ad hoc versus large general training populations for genomewide selection in maize biparental crosses

Sofía P. Brandariz, Rex Bernardo

Research output: Contribution to journalArticlepeer-review

7 Scopus citations

Abstract

Key message: For genomewide selection in each biparental population, it is better to use a smaller ad hoc training population than a single, large training population. Abstract: In genomewide selection, different types of training populations can be used for a biparental population made from homozygous parents (A and B). Our objective was to determine whether the response to selection (R) and predictive ability (r MP ) in an A/B population are higher with a large training population that is used for all biparental crosses, or with a smaller ad hoc training population highly related to the A/B population. We studied 969 biparental maize (Zea mays L.) populations phenotyped at four to 12 environments. Parent–offspring marker imputation was done for 2911 single nucleotide polymorphism loci. For 27 A/B populations, training populations were constructed by pooling: (1) all prior populations with A as one parent (A/*, where * is a related inbred) and with B as one parent (*/B) [general combining ability (GCA) model]; (2) A/* or */B crosses only; (3) all */* crosses (same background model, SB); and (4) all */*, A/*, and */B crosses (SB + GCA model). The SB model training population was 450–6000% as large as the GCA model training populations, but the mean coefficient of coancestry between the training population and A/B population was lower for the SB model (0.44) than for the GCA model (0.71). The GCA model had the highest R and r MP for all traits. For yield, R was 0.22 Mg ha −1 with the GCA model and 0.15 Mg ha −1 with the SB model. We concluded that it is best to use an ad hoc training population for each A/B population.

Original languageEnglish (US)
Pages (from-to)347-353
Number of pages7
JournalTheoretical and Applied Genetics
Volume132
Issue number2
DOIs
StatePublished - Feb 8 2019

Bibliographical note

Publisher Copyright:
© 2018, Springer-Verlag GmbH Germany, part of Springer Nature.

Copyright:
Copyright 2019 Elsevier B.V., All rights reserved.

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