دورية أكاديمية
أعرض في EDS

Validation of cross-progeny variance genomic prediction using simulations and experimental data in winter elite bread wheat.

التفاصيل البيبلوغرافية
العنوان: Validation of cross-progeny variance genomic prediction using simulations and experimental data in winter elite bread wheat.
المؤلفون: Oget-Ebrad C; UMR1095, GDEC, INRAE-Université Clermont-Auvergne, Clermont-Ferrand, France., Heumez E; INRAE-UE Lille, 2 Chaussée Brunehaut, Estrées Mons, BP50136, 80203, Peronne Cedex, France., Duchalais L; Agri-Obtentions, Ferme de Gauvilliers, 78660, Orsonville, France., Goudemand-Dugué E; Florimond-Desprez Veuve & Fils SAS, Cappelle-en-Pévèle, France., Oury FX; UMR1095, GDEC, INRAE-Université Clermont-Auvergne, Clermont-Ferrand, France., Elsen JM; UMR1388, GenPhySE, INRAE-Université de Toulouse, Castanet-Tolosan, France., Bouchet S; UMR1095, GDEC, INRAE-Université Clermont-Auvergne, Clermont-Ferrand, France. sophie.bouchet@inrae.fr.
المصدر: TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik [Theor Appl Genet] 2024 Sep 18; Vol. 137 (10), pp. 226. Date of Electronic Publication: 2024 Sep 18.
نوع المنشور: Journal Article
اللغة: English
بيانات الدورية: Publisher: Springer Country of Publication: Germany NLM ID: 0145600 Publication Model: Electronic Cited Medium: Internet ISSN: 1432-2242 (Electronic) Linking ISSN: 00405752 NLM ISO Abbreviation: Theor Appl Genet Subsets: MEDLINE
أسماء مطبوعة: Original Publication: Berlin, New York, Springer
مواضيع طبية MeSH: Triticum*/genetics , Quantitative Trait Loci* , Models, Genetic* , Plant Breeding* , Phenotype* , Computer Simulation*, Crosses, Genetic ; Genome, Plant ; Genomics/methods ; Genotype ; Genetic Markers
مستخلص: Key Message: From simulations and experimental data, the quality of cross progeny variance genomic predictions may be high, but depends on trait architecture and necessitates sufficient number of progenies. Genomic predictions are used to select genitors and crosses in plant breeding. The usefulness criterion (UC) is a cross-selection criterion that necessitates the estimation of parental mean (PM) and progeny standard deviation (SD). This study evaluates the parameters that affect the predictive ability of UC and its two components using simulations. Predictive ability increased with heritability and progeny size and decreased with QTL number, most notably for SD. Comparing scenarios where marker effects were known or estimated using prediction models, SD was strongly impacted by the quality of marker effect estimates. We proposed a new algebraic formula for SD estimation that takes into account the uncertainty of the estimation of marker effects. It improved predictions when the number of QTL was superior to 300, especially when heritability was low. We also compared estimated and observed UC using experimental data for heading date, plant height, grain protein content and yield. PM and UC estimates were significantly correlated for all traits (PM: 0.38, 0.63, 0.51 and 0.91; UC: 0.45, 0.52, 0.54 and 0.74; for yield, grain protein content, plant height and heading date, respectively), while SD was correlated only for heading date and plant height (0.64 and 0.49, respectively). According to simulations, SD estimations in the field would necessitate large progenies. This pioneering study experimentally validates genomic prediction of UC but the predictive ability depends on trait architecture and precision of marker effect estimates. We advise the breeders to adjust progeny size to realize the SD potential of a cross.
(© 2024. The Author(s).)
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معلومات مُعتمدة: FSOV 2020 I - PrediCropt project Fonds de Soutien à l'Obtention Végétale (FSOV); ANR-10-BTBR-0003 Agence Nationale de la Recherche (ANR); IVD program INRAE-Agri-Obtentions
المشرفين على المادة: 0 (Genetic Markers)
تواريخ الأحداث: Date Created: 20240918 Date Completed: 20240918 Latest Revision: 20240921
رمز التحديث: 20240921
مُعرف محوري في PubMed: PMC11410863
DOI: 10.1007/s00122-024-04718-6
PMID: 39292265
قاعدة البيانات: MEDLINE
الوصف
تدمد:1432-2242
DOI:10.1007/s00122-024-04718-6