Genomic prediction of maternal haploid induction rate in maize

dc.contributor.author Costa Almeida, Vinícius
dc.contributor.author Trentin, Henrique Uliana
dc.contributor.author Lubberstedt, Thomas
dc.contributor.author Frei, Ursula
dc.contributor.author Lubberstedt, Thomas
dc.contributor.department Agronomy
dc.date 2020-03-27T20:23:58.000
dc.date.accessioned 2020-06-29T23:06:47Z
dc.date.available 2020-06-29T23:06:47Z
dc.date.copyright Wed Jan 01 00:00:00 UTC 2020
dc.date.issued 2020-01-01
dc.description.abstract <p>Genomic prediction (GP) might be an efficient way to improve haploid induction rate (HIR) and to reduce the laborious and time‐consuming task of phenotypic selection for HIR in maize (<em>Zea mays</em> L.). In this study, we evaluated GP accuracies for HIR and other agronomic traits of importance to inducers by independent and cross‐validation. We propose the use of GP for cross prediction and parental selection in the development of new inducer breeding populations. A panel of 159 inducers from Iowa State University (ISU set) was genotyped and phenotyped for HIR and several agronomic traits. The data of an independent set of 53 inducers evaluated by the University of Hohenheim (UOH set) was used for independent validation. The HIR ranged from 0.61 to 20.74% and exhibited high heritability (0.90). High cross‐validation prediction accuracy was observed for HIR (r = 0.82), whereas for other traits it ranged from 0.36 (self‐induction rate) to 0.74 (days to anthesis). Prediction accuracies across different sets were higher when the larger panel (ISU set) was used as a training population (r = 0.54). The average HIR of the 12,561 superior predicted progenies (μSP) ranged from 1.00–18.36% and was closely related to the corresponding midparent genomic estimated breeding value (GEBV). A predicted genetic variance (<em>V</em>G) of reduced magnitude was observed in the twenty crosses with highest midparent GEBV or μSP for HIR. Our results indicate that although GP is a useful tool for parental selection, decisions about which cross combinations should be pursued need to be based on optimal trade‐offs between maximizing both μSP and <em>V</em>G.</p>
dc.description.comments <p>This article is published as Almeida, Vinícius Costa, Henrique Uliana Trentin, Ursula Karoline Frei, and Thomas Lübberstedt. "Genomic prediction of maternal haploid induction rate in maize." <em>The Plant Genome </em>(2020). doi: <a href="https://doi.org/10.1002/tpg2.20014">10.1002/tpg2.20014</a>.</p>
dc.format.mimetype application/pdf
dc.identifier archive/lib.dr.iastate.edu/agron_pubs/640/
dc.identifier.articleid 1690
dc.identifier.contextkey 17053651
dc.identifier.s3bucket isulib-bepress-aws-west
dc.identifier.submissionpath agron_pubs/640
dc.identifier.uri https://dr.lib.iastate.edu/handle/20.500.12876/5013
dc.language.iso en
dc.source.bitstream archive/lib.dr.iastate.edu/agron_pubs/640/2020_Lubberstedt_GenomicPrediction.pdf|||Sat Jan 15 01:22:18 UTC 2022
dc.source.uri 10.1002/tpg2.20014
dc.subject.disciplines Agriculture
dc.subject.disciplines Agronomy and Crop Sciences
dc.subject.disciplines Plant Breeding and Genetics
dc.title Genomic prediction of maternal haploid induction rate in maize
dc.type article
dc.type.genre article
dspace.entity.type Publication
relation.isAuthorOfPublication 4e4330cd-db15-4ac5-8924-41119139cf32
relation.isOrgUnitOfPublication fdd5c06c-bdbe-469c-a38e-51e664fece7a
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