Genomic Prediction Can Provide Precise Estimates of the Genotypic Value of Barley Lines Evaluated in Unreplicated Trials.

barley genomic prediction prediction accuracy simulation unreplicated trials

Journal

Frontiers in plant science
ISSN: 1664-462X
Titre abrégé: Front Plant Sci
Pays: Switzerland
ID NLM: 101568200

Informations de publication

Date de publication:
2022
Historique:
received: 02 07 2021
accepted: 14 03 2022
entrez: 9 5 2022
pubmed: 10 5 2022
medline: 10 5 2022
Statut: epublish

Résumé

Genomic prediction has been established in breeding programs to predict the genotypic values of selection candidates without phenotypic data. First results in wheat showed that genomic predictions can also prove useful to select among material for which phenotypic data are available. In such a scenario, the selection candidates are evaluated with low intensity in the field. Genome-wide effects are estimated from the field data and are then used to predict the genotypic values of the selection candidates. The objectives of our simulation study were to investigate the correlations

Identifiants

pubmed: 35528936
doi: 10.3389/fpls.2022.735256
pmc: PMC9072862
doi:

Types de publication

Journal Article

Langues

eng

Pagination

735256

Informations de copyright

Copyright © 2022 Terraillon, Frisch, Falke, Jaiser, Spiller, Cselényi, Krumnacker, Boxberger, Habekuß, Kopahnke, Serfling, Ordon and Zenke-Philippi.

Déclaration de conflit d'intérêts

HJ was employed by Saatzucht Josef Breun GmbH & Co. KG. MS was employed by KWS Lochow GmbH. LC was employed by W. von Borries-Eckendorf GmbH & Co. KG. KK was employed by Limagrain GmbH. SB was employed by Ackermann Saatzucht GmbH & Co. KG. The remaining authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

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Auteurs

Jérôme Terraillon (J)

Institute of Agronomy and Plant Breeding II, Justus Liebig University, Gießen, Germany.

Matthias Frisch (M)

Institute of Agronomy and Plant Breeding II, Justus Liebig University, Gießen, Germany.

K Christin Falke (KC)

Institute of Agronomy and Plant Breeding II, Justus Liebig University, Gießen, Germany.

Heidi Jaiser (H)

Saatzucht Josef Breun GmbH & Co. KG, Herzogenaurach, Germany.

Monika Spiller (M)

KWS Lochow GmbH, Northeim, Germany.

László Cselényi (L)

W. von Borries-Eckendorf GmbH & Co. KG, Leopoldshöhe, Germany.

Kerstin Krumnacker (K)

Limagrain GmbH, Peine-Rosenthal, Germany.

Susanna Boxberger (S)

Ackermann Saatzucht GmbH & Co. KG, Irlbach, Germany.

Antje Habekuß (A)

Institute for Resistance Research and Stress Tolerance, Julius Kühn Institute, Quedlinburg, Germany.

Doris Kopahnke (D)

Institute for Resistance Research and Stress Tolerance, Julius Kühn Institute, Quedlinburg, Germany.

Albrecht Serfling (A)

Institute for Resistance Research and Stress Tolerance, Julius Kühn Institute, Quedlinburg, Germany.

Frank Ordon (F)

Institute for Resistance Research and Stress Tolerance, Julius Kühn Institute, Quedlinburg, Germany.

Carola Zenke-Philippi (C)

Institute of Agronomy and Plant Breeding II, Justus Liebig University, Gießen, Germany.

Classifications MeSH