Sunflower Hybrid Breeding: From Markers to Genomic Selection
Апстракт
In sunflower, molecular markers for simple traits as, e.g., fertility restoration, high oleic acid content, herbicide tolerance or resistances to Plasmopara halstedii, Puccinia helianthi, or Orobanche cumana have been successfully used in marker-assisted breeding programs for years. However, agronomically important complex quantitative traits like yield, heterosis, drought tolerance, oil content or selection for disease resistance, e.g., against Sclerotinia sclerotiorum have been challenging and will require genome-wide approaches. Plant genetic resources for sunflower are being collected and conserved worldwide that represent valuable resources to study complex traits. Sunflower association panels provide the basis for genome-wide association studies, overcoming disadvantages of biparental populations. Advances in technologies and the availability of the sunflower genome sequence made novel approaches on the whole genome level possible. Genotype-by-sequencing, and whole genome sequenc...ing based on next generation sequencing technologies facilitated the production of large amounts of SNP markers for high density maps as well as SNP arrays and allowed genome-wide association studies and genomic selection in sunflower. Genome wide or candidate gene based association studies have been performed for traits like branching, flowering time, resistance to Sclerotinia head and stalk rot. First steps in genomic selection with regard to hybrid performance and hybrid oil content have shown that genomic selection can successfully address complex quantitative traits in sunflower and will help to speed up sunflower breeding programs in the future. To make sunflower more competitive toward other oil crops higher levels of resistance against pathogens and better yield performance are required. In addition, optimizing plant architecture toward a more complex growth type for higher plant densities has the potential to considerably increase yields per hectare. Integrative approaches combining omic technologies (genomics, transcriptomics, proteomics, metabolomics and phenomics) using bioinformatic tools will facilitate the identification of target genes and markers for complex traits and will give a better insight into the mechanisms behind the traits.
Кључне речи:
association panel / genome-wide association studies / genomic estimated breeding value / genomic selection / genome sequence / marker-assisted selection / sunflower / traitsИзвор:
Frontiers in Plant Science, 2018, 8Издавач:
- Frontiers Media Sa, Lausanne
Финансирање / пројекти:
- University of Rostock
- German Research Foundation (DFG) [HO 1593/5-1, HO 1593/5-2, HO 1593/6-1]
- Развој нових сорти и побољшање технологија производње уљаних биљних врста за различите намене (RS-MESTD-Technological Development (TD or TR)-31025)
DOI: 10.3389/fpls.2017.02238
ISSN: 1664-462X
PubMed: 29387071
WoS: 000422672300001
Scopus: 2-s2.0-85041310114
Колекције
Институција/група
FiVeRTY - JOUR AU - Dimitrijević, Aleksandra AU - Horn, Renate PY - 2018 UR - http://fiver.ifvcns.rs/handle/123456789/1783 AB - In sunflower, molecular markers for simple traits as, e.g., fertility restoration, high oleic acid content, herbicide tolerance or resistances to Plasmopara halstedii, Puccinia helianthi, or Orobanche cumana have been successfully used in marker-assisted breeding programs for years. However, agronomically important complex quantitative traits like yield, heterosis, drought tolerance, oil content or selection for disease resistance, e.g., against Sclerotinia sclerotiorum have been challenging and will require genome-wide approaches. Plant genetic resources for sunflower are being collected and conserved worldwide that represent valuable resources to study complex traits. Sunflower association panels provide the basis for genome-wide association studies, overcoming disadvantages of biparental populations. Advances in technologies and the availability of the sunflower genome sequence made novel approaches on the whole genome level possible. Genotype-by-sequencing, and whole genome sequencing based on next generation sequencing technologies facilitated the production of large amounts of SNP markers for high density maps as well as SNP arrays and allowed genome-wide association studies and genomic selection in sunflower. Genome wide or candidate gene based association studies have been performed for traits like branching, flowering time, resistance to Sclerotinia head and stalk rot. First steps in genomic selection with regard to hybrid performance and hybrid oil content have shown that genomic selection can successfully address complex quantitative traits in sunflower and will help to speed up sunflower breeding programs in the future. To make sunflower more competitive toward other oil crops higher levels of resistance against pathogens and better yield performance are required. In addition, optimizing plant architecture toward a more complex growth type for higher plant densities has the potential to considerably increase yields per hectare. Integrative approaches combining omic technologies (genomics, transcriptomics, proteomics, metabolomics and phenomics) using bioinformatic tools will facilitate the identification of target genes and markers for complex traits and will give a better insight into the mechanisms behind the traits. PB - Frontiers Media Sa, Lausanne T2 - Frontiers in Plant Science T1 - Sunflower Hybrid Breeding: From Markers to Genomic Selection VL - 8 DO - 10.3389/fpls.2017.02238 ER -
@article{ author = "Dimitrijević, Aleksandra and Horn, Renate", year = "2018", abstract = "In sunflower, molecular markers for simple traits as, e.g., fertility restoration, high oleic acid content, herbicide tolerance or resistances to Plasmopara halstedii, Puccinia helianthi, or Orobanche cumana have been successfully used in marker-assisted breeding programs for years. However, agronomically important complex quantitative traits like yield, heterosis, drought tolerance, oil content or selection for disease resistance, e.g., against Sclerotinia sclerotiorum have been challenging and will require genome-wide approaches. Plant genetic resources for sunflower are being collected and conserved worldwide that represent valuable resources to study complex traits. Sunflower association panels provide the basis for genome-wide association studies, overcoming disadvantages of biparental populations. Advances in technologies and the availability of the sunflower genome sequence made novel approaches on the whole genome level possible. Genotype-by-sequencing, and whole genome sequencing based on next generation sequencing technologies facilitated the production of large amounts of SNP markers for high density maps as well as SNP arrays and allowed genome-wide association studies and genomic selection in sunflower. Genome wide or candidate gene based association studies have been performed for traits like branching, flowering time, resistance to Sclerotinia head and stalk rot. First steps in genomic selection with regard to hybrid performance and hybrid oil content have shown that genomic selection can successfully address complex quantitative traits in sunflower and will help to speed up sunflower breeding programs in the future. To make sunflower more competitive toward other oil crops higher levels of resistance against pathogens and better yield performance are required. In addition, optimizing plant architecture toward a more complex growth type for higher plant densities has the potential to considerably increase yields per hectare. Integrative approaches combining omic technologies (genomics, transcriptomics, proteomics, metabolomics and phenomics) using bioinformatic tools will facilitate the identification of target genes and markers for complex traits and will give a better insight into the mechanisms behind the traits.", publisher = "Frontiers Media Sa, Lausanne", journal = "Frontiers in Plant Science", title = "Sunflower Hybrid Breeding: From Markers to Genomic Selection", volume = "8", doi = "10.3389/fpls.2017.02238" }
Dimitrijević, A.,& Horn, R.. (2018). Sunflower Hybrid Breeding: From Markers to Genomic Selection. in Frontiers in Plant Science Frontiers Media Sa, Lausanne., 8. https://doi.org/10.3389/fpls.2017.02238
Dimitrijević A, Horn R. Sunflower Hybrid Breeding: From Markers to Genomic Selection. in Frontiers in Plant Science. 2018;8. doi:10.3389/fpls.2017.02238 .
Dimitrijević, Aleksandra, Horn, Renate, "Sunflower Hybrid Breeding: From Markers to Genomic Selection" in Frontiers in Plant Science, 8 (2018), https://doi.org/10.3389/fpls.2017.02238 . .
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