دورية أكاديمية
Across-population genomic prediction in grapevine opens up promising prospects for breeding
| العنوان: | Across-population genomic prediction in grapevine opens up promising prospects for breeding |
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| المؤلفون: | Brault, Charlotte, Segura, Vincent, This, Patrice, Le Cunff, Loïc, Flutre, Timothée, François, Pierre, Pons, Thierry, Péros, Jean-Pierre, Doligez, Agnes |
| المساهمون: | Géno-vigne® (UMT Géno-vigne®), Institut Français de la Vigne et du Vin (IFV)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE)-Institut Agro Montpellier, Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro)-Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro), Amélioration génétique et adaptation des plantes méditerranéennes et tropicales (UMR AGAP), Centre de Coopération Internationale en Recherche Agronomique pour le Développement (Cirad)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE)-Institut Agro Montpellier, Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro)-Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro)-Université de Montpellier (UM), Institut Français de la Vigne et du Vin (IFV), Génétique Quantitative et Evolution - Le Moulon (Génétique Végétale) (GQE-Le Moulon), AgroParisTech-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE) |
| المصدر: | ISSN: 2052-7276. |
| بيانات النشر: | HAL CCSD Nature Publishing Group |
| سنة النشر: | 2022 |
| مصطلحات موضوعية: | [SDV.BV.AP]Life Sciences [q-bio]/Vegetal Biology/Plant breeding, [SDV.BIBS]Life Sciences [q-bio]/Quantitative Methods [q-bio.QM], [SDV.GEN.GPL]Life Sciences [q-bio]/Genetics/Plants genetics, [SDV.SA.HORT]Life Sciences [q-bio]/Agricultural sciences/Horticulture |
| الوصف: | International audience ; Crop breeding involves two selection steps: choosing progenitors and selecting individuals within progenies. Genomic prediction, based on genome-wide marker estimation of genetic values, could facilitate these steps. However, its potential usefulness in grapevine (Vitis vinifera L.) has only been evaluated in non-breeding contexts mainly through cross-validation within a single population. We tested across-population genomic prediction in a more realistic breeding configuration, from a diversity panel to ten bi-parental crosses connected within a half-diallel mating design. Prediction quality was evaluated over 15 traits of interest (related to yield, berry composition, phenology and vigour), for both the average genetic value of each cross (cross mean) and the genetic values of individuals within each cross (individual values). Genomic prediction in these conditions was found useful: for cross mean, average per-trait predictive ability was 0.6, while per-cross predictive ability was halved on average, but reached a maximum of 0.7. Mean predictive ability for individual values within crosses was 0.26, about half the within-half-diallel value taken as a reference. For some traits and/or crosses, these across-population predictive ability values are promising for implementing genomic selection in grapevine breeding. This study also provided key insights on variables affecting predictive ability. Per-cross predictive ability was well predicted by genetic distance between parents and when this predictive ability was below 0.6, it was improved by training set optimization. For individual values, predictive ability mostly depended on trait-related variables (magnitude of the cross effect and heritability). These results will greatly help designing grapevine breeding programs assisted by genomic prediction. |
| نوع الوثيقة: | article in journal/newspaper |
| اللغة: | English |
| العلاقة: | info:eu-repo/semantics/altIdentifier/pmid/35184162; hal-03694172; https://hal.science/hal-03694172Test; https://hal.science/hal-03694172/documentTest; https://hal.science/hal-03694172/file/Brault_et_al_2022_HortRes_AcrossPopulationGenomicPrediction.pdfTest; PUBMED: 35184162; WOS: 000828691700021 |
| DOI: | 10.1093/hr/uhac041 |
| الإتاحة: | https://doi.org/10.1093/hr/uhac041Test https://hal.science/hal-03694172Test https://hal.science/hal-03694172/documentTest https://hal.science/hal-03694172/file/Brault_et_al_2022_HortRes_AcrossPopulationGenomicPrediction.pdfTest |
| حقوق: | info:eu-repo/semantics/OpenAccess |
| رقم الانضمام: | edsbas.D72DEDAF |
| قاعدة البيانات: | BASE |
| DOI: | 10.1093/hr/uhac041 |
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