Genomics for Yield and Yield Components in Durum Wheat
In recent years, many efforts have been conducted to dissect the genetic basis of yield and yield components in durum wheat thanks to linkage mapping and genome-wide association studies. In this review, starting from the analysis of the genetic bases that regulate the expression of yield for develop...
| Main Authors: | , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2023-07-01
|
| Series: | Plants |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2223-7747/12/13/2571 |
| _version_ | 1797590997526380544 |
|---|---|
| author | Francesca Taranto Salvatore Esposito Pasquale De Vita |
| author_facet | Francesca Taranto Salvatore Esposito Pasquale De Vita |
| author_sort | Francesca Taranto |
| collection | DOAJ |
| description | In recent years, many efforts have been conducted to dissect the genetic basis of yield and yield components in durum wheat thanks to linkage mapping and genome-wide association studies. In this review, starting from the analysis of the genetic bases that regulate the expression of yield for developing new durum wheat varieties, we have highlighted how, currently, the reductionist approach, i.e., dissecting the yield into its individual components, does not seem capable of ensuring significant yield increases due to diminishing resources, land loss, and ongoing climate change. However, despite the identification of genes and/or chromosomal regions, controlling the grain yield in durum wheat is still a challenge, mainly due to the polyploidy level of this species. In the review, we underline that the next-generation sequencing (NGS) technologies coupled with improved wheat genome assembly and high-throughput genotyping platforms, as well as genome editing technology, will revolutionize plant breeding by providing a great opportunity to capture genetic variation that can be used in breeding programs. To date, genomic selection provides a valuable tool for modeling optimal allelic combinations across the whole genome that maximize the phenotypic potential of an individual under a given environment. |
| first_indexed | 2024-03-11T01:31:26Z |
| format | Article |
| id | doaj.art-8730eea513da48deb65b81882ec046d7 |
| institution | Directory Open Access Journal |
| issn | 2223-7747 |
| language | English |
| last_indexed | 2024-03-11T01:31:26Z |
| publishDate | 2023-07-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Plants |
| spelling | doaj.art-8730eea513da48deb65b81882ec046d72023-11-18T17:19:24ZengMDPI AGPlants2223-77472023-07-011213257110.3390/plants12132571Genomics for Yield and Yield Components in Durum WheatFrancesca Taranto0Salvatore Esposito1Pasquale De Vita2Institute of Biosciences and Bioresources (CNR-IBBR), 70126 Bari, ItalyResearch Centre for Cereal and Industrial Crops (CREA-CI), CREA—Council for Agricultural Research and Economics, 71122 Foggia, ItalyResearch Centre for Cereal and Industrial Crops (CREA-CI), CREA—Council for Agricultural Research and Economics, 71122 Foggia, ItalyIn recent years, many efforts have been conducted to dissect the genetic basis of yield and yield components in durum wheat thanks to linkage mapping and genome-wide association studies. In this review, starting from the analysis of the genetic bases that regulate the expression of yield for developing new durum wheat varieties, we have highlighted how, currently, the reductionist approach, i.e., dissecting the yield into its individual components, does not seem capable of ensuring significant yield increases due to diminishing resources, land loss, and ongoing climate change. However, despite the identification of genes and/or chromosomal regions, controlling the grain yield in durum wheat is still a challenge, mainly due to the polyploidy level of this species. In the review, we underline that the next-generation sequencing (NGS) technologies coupled with improved wheat genome assembly and high-throughput genotyping platforms, as well as genome editing technology, will revolutionize plant breeding by providing a great opportunity to capture genetic variation that can be used in breeding programs. To date, genomic selection provides a valuable tool for modeling optimal allelic combinations across the whole genome that maximize the phenotypic potential of an individual under a given environment.https://www.mdpi.com/2223-7747/12/13/2571quantitative trait lociGWASgenomic selectioncandidate genes |
| spellingShingle | Francesca Taranto Salvatore Esposito Pasquale De Vita Genomics for Yield and Yield Components in Durum Wheat Plants quantitative trait loci GWAS genomic selection candidate genes |
| title | Genomics for Yield and Yield Components in Durum Wheat |
| title_full | Genomics for Yield and Yield Components in Durum Wheat |
| title_fullStr | Genomics for Yield and Yield Components in Durum Wheat |
| title_full_unstemmed | Genomics for Yield and Yield Components in Durum Wheat |
| title_short | Genomics for Yield and Yield Components in Durum Wheat |
| title_sort | genomics for yield and yield components in durum wheat |
| topic | quantitative trait loci GWAS genomic selection candidate genes |
| url | https://www.mdpi.com/2223-7747/12/13/2571 |
| work_keys_str_mv | AT francescataranto genomicsforyieldandyieldcomponentsindurumwheat AT salvatoreesposito genomicsforyieldandyieldcomponentsindurumwheat AT pasqualedevita genomicsforyieldandyieldcomponentsindurumwheat |