Evidence map›Paper›PMID 33638651›Full record

ArticleTAG. Theoretical and applied genetics. Theoretische und angewandte Genetik2021

Genotyping crossing parents and family bulks can facilitate cost-efficient genomic prediction strategies in small-scale line breeding programs.

Sebastian Michel, Franziska Löschenberger, Christian Ametz, Hermann Bürstmayr

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Article in TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

4 authors.

Sebastian MichelDepartment of Agrobiotechnology, IFA-Tulln, University of Natural Resources and Life Sciences Vienna, Konrad-Lorenz-Str. 20, 3430, Tulln, Austria. sebastian.michel@boku.ac.at.ORCID http://orcid.org/0000-0001-6636-2694
Franziska LöschenbergerSaatzucht Donau GesmbH. & CoKG, Saatzuchtstrasse 11, 2301, Probstdorf, Austria.
Christian AmetzSaatzucht Donau GesmbH. & CoKG, Saatzuchtstrasse 11, 2301, Probstdorf, Austria.
Hermann BürstmayrDepartment of Agrobiotechnology, IFA-Tulln, University of Natural Resources and Life Sciences Vienna, Konrad-Lorenz-Str. 20, 3430, Tulln, Austria.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

key messageGenomic relationship matrices based on mid-parent and family bulk genotypes represent cost-efficient alternatives to full genomic prediction approaches with individually genotyped early generation selection candidates. The routine usage of genomic selection for improving line varieties has gained an increasing popularity in recent years. Harnessing the benefits of this approach can, however, be too costly for many small-scale breeding programs, as in most genomic breeding strategies several hundred or even thousands of lines have to be genotyped each year. The aim of this study was thus to compare a full genomic prediction strategy using individually genotyped selection candidates with genomic predictions based on genotypes obtained from pooled DNA of progeny families as well as genotypes inferred from crossing parents. A population of 722 wheat lines representing 63 families tested in more than 100 multi-environment trials during 2010-2019 was for this purpose employed to conduct an empirical study, which was supplemented by a simulation with genotypic data from further 3855 lines. A similar or higher prediction ability was achieved for grain yield, protein yield, and the protein content when using mid-parent or family bulk genotypes in comparison with pedigree selection in the empirical across family prediction scenario. The difference of these methods with a full genomic prediction strategy became furthermore marginal if pre-existing phenotypic data of the selection candidates was already available. Similar observations were made in the simulation, where the usage of individually genotyped lines or family bulks was generally preferable with smaller family sizes. The proposed methods can thus be regarded as alternatives to full genomic or pedigree selection strategies, especially when pedigree information is limited like in the exchange of germplasm between breeding programs.

Indexed as

Cost-Benefit AnalysisSelection, GeneticGenomicsGenotypeModels, GeneticPhenotypePlant BreedingTriticum

Identifiers

PMID33638651
PMCPMC8081688

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.