An Overview of Key Factors Affecting Genomic Selection for Wheat Quality Traits
Selection for wheat (<i>Triticum aestivum</i> L.) grain quality is often costly and time-consuming since it requires extensive phenotyping in the last phases of development of new lines and cultivars. The development of high-throughput genotyping in the last decade enabled reliable and r...
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| Format: | Article |
| Language: | English |
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MDPI AG
2021-04-01
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| Series: | Plants |
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| Online Access: | https://www.mdpi.com/2223-7747/10/4/745 |
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| author | Ivana Plavšin Jerko Gunjača Zlatko Šatović Hrvoje Šarčević Marko Ivić Krešimir Dvojković Dario Novoselović |
| author_facet | Ivana Plavšin Jerko Gunjača Zlatko Šatović Hrvoje Šarčević Marko Ivić Krešimir Dvojković Dario Novoselović |
| author_sort | Ivana Plavšin |
| collection | DOAJ |
| description | Selection for wheat (<i>Triticum aestivum</i> L.) grain quality is often costly and time-consuming since it requires extensive phenotyping in the last phases of development of new lines and cultivars. The development of high-throughput genotyping in the last decade enabled reliable and rapid predictions of breeding values based only on marker information. Genomic selection (GS) is a method that enables the prediction of breeding values of individuals by simultaneously incorporating all available marker information into a model. The success of GS depends on the obtained prediction accuracy, which is influenced by various molecular, genetic, and phenotypic factors, as well as the factors of the selected statistical model. The objectives of this article are to review research on GS for wheat quality done so far and to highlight the key factors affecting prediction accuracy, in order to suggest the most applicable approach in GS for wheat quality traits. |
| first_indexed | 2024-03-10T12:25:46Z |
| format | Article |
| id | doaj.art-160f2dc4630146a2beda33fdb9d2b3c4 |
| institution | Directory Open Access Journal |
| issn | 2223-7747 |
| language | English |
| last_indexed | 2024-03-10T12:25:46Z |
| publishDate | 2021-04-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Plants |
| spelling | doaj.art-160f2dc4630146a2beda33fdb9d2b3c42023-11-21T15:03:49ZengMDPI AGPlants2223-77472021-04-0110474510.3390/plants10040745An Overview of Key Factors Affecting Genomic Selection for Wheat Quality TraitsIvana Plavšin0Jerko Gunjača1Zlatko Šatović2Hrvoje Šarčević3Marko Ivić4Krešimir Dvojković5Dario Novoselović6Department for Cereal Breeding and Genetics, Agricultural Institute Osijek, Južno predgrađe 17, 31000 Osijek, CroatiaCentre of Excellence for Biodiversity and Molecular Plant Breeding (CoE CroP-BioDiv), Svetošimunska cesta 25, 10000 Zagreb, CroatiaCentre of Excellence for Biodiversity and Molecular Plant Breeding (CoE CroP-BioDiv), Svetošimunska cesta 25, 10000 Zagreb, CroatiaCentre of Excellence for Biodiversity and Molecular Plant Breeding (CoE CroP-BioDiv), Svetošimunska cesta 25, 10000 Zagreb, CroatiaDepartment for Cereal Breeding and Genetics, Agricultural Institute Osijek, Južno predgrađe 17, 31000 Osijek, CroatiaDepartment for Cereal Breeding and Genetics, Agricultural Institute Osijek, Južno predgrađe 17, 31000 Osijek, CroatiaDepartment for Cereal Breeding and Genetics, Agricultural Institute Osijek, Južno predgrađe 17, 31000 Osijek, CroatiaSelection for wheat (<i>Triticum aestivum</i> L.) grain quality is often costly and time-consuming since it requires extensive phenotyping in the last phases of development of new lines and cultivars. The development of high-throughput genotyping in the last decade enabled reliable and rapid predictions of breeding values based only on marker information. Genomic selection (GS) is a method that enables the prediction of breeding values of individuals by simultaneously incorporating all available marker information into a model. The success of GS depends on the obtained prediction accuracy, which is influenced by various molecular, genetic, and phenotypic factors, as well as the factors of the selected statistical model. The objectives of this article are to review research on GS for wheat quality done so far and to highlight the key factors affecting prediction accuracy, in order to suggest the most applicable approach in GS for wheat quality traits.https://www.mdpi.com/2223-7747/10/4/745wheat qualitygenomic selectionGEBVprediction accuracytraining populationvalidation population |
| spellingShingle | Ivana Plavšin Jerko Gunjača Zlatko Šatović Hrvoje Šarčević Marko Ivić Krešimir Dvojković Dario Novoselović An Overview of Key Factors Affecting Genomic Selection for Wheat Quality Traits Plants wheat quality genomic selection GEBV prediction accuracy training population validation population |
| title | An Overview of Key Factors Affecting Genomic Selection for Wheat Quality Traits |
| title_full | An Overview of Key Factors Affecting Genomic Selection for Wheat Quality Traits |
| title_fullStr | An Overview of Key Factors Affecting Genomic Selection for Wheat Quality Traits |
| title_full_unstemmed | An Overview of Key Factors Affecting Genomic Selection for Wheat Quality Traits |
| title_short | An Overview of Key Factors Affecting Genomic Selection for Wheat Quality Traits |
| title_sort | overview of key factors affecting genomic selection for wheat quality traits |
| topic | wheat quality genomic selection GEBV prediction accuracy training population validation population |
| url | https://www.mdpi.com/2223-7747/10/4/745 |
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