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| Hauptseite > Publikationsdatenbank > Phenotypic and genetic diversity of root traits in DRR population of barley for selection in breeding > print |
| Hauptseite > Publikationsdatenbank > Phenotypic and genetic diversity of root traits in DRR population of barley for selection in breeding > print |
| 001 | 916145 | ||
| 005 | 20230110125257.0 | ||
| 037 | _ | _ | |a FZJ-2022-05965 |
| 041 | _ | _ | |a English |
| 100 | 1 | _ | |a Jia, Shiyan |0 P:(DE-Juel1)190882 |b 0 |u fzj |
| 111 | 2 | _ | |a 7th International Plant Phenotyping Symposium |g IPPS7 |c Wageningen |d 2022-09-26 - 2022-09-30 |w Netherlands |
| 245 | _ | _ | |a Phenotypic and genetic diversity of root traits in DRR population of barley for selection in breeding |
| 260 | _ | _ | |c 2022 |
| 336 | 7 | _ | |a Conference Paper |0 33 |2 EndNote |
| 336 | 7 | _ | |a Other |2 DataCite |
| 336 | 7 | _ | |a INPROCEEDINGS |2 BibTeX |
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| 336 | 7 | _ | |a Conference Presentation |b conf |m conf |0 PUB:(DE-HGF)6 |s 1673351446_21290 |2 PUB:(DE-HGF) |x After Call |
| 520 | _ | _ | |a Root system architecture (RSA) is a target for plant breeding because of the interest to develop crops with roots that use nutrients and water more effectively. Breeding for root traits require phenotypic diversity in populations amenable to quantitative trait loci (QTL) identification to provide markers for large breeding programs. Our research aims to identify the genetic variation for root traits across a Multi-parent Advanced Generation Inter-Cross (MAGIC) wheat population by implementing the use of a state-of-the-art phenotyping platform, which is an automated non-invasive high throughput phenotyping system, GrowScreen-Rhizo III (based on Nagel et al., 2012). With the help of the platform, we will be able to quantify root traits of plants grown in rhizoboxes filled with a substrate providing mechanical impedance to root growth and record the dynamics of both root and shoot development during an early plant developmental stage. The NIAB eight-parent winter wheat MAGIC population (Mackay et al., 2014) will provide high-density and high-resolution genotypic information, and reliable pedigree map to help with the association study. The phenotypic data will subsequently be correlated to genotypic data and QTLs linked to the traits of shoot and root are identified by Genome-Wide Association Study (GWAS). Newly detected QTLs and candidate genes will require further validation. Our findings will not only increase the knowledge about root traits and their roles at early stage of crop establishment, a critical stage for crop productivity, but also provide novel genetic material for selection in breeding. The root phenotyping of the young wheat plant in the controlled environment will also provide valuable reference data for future studies in the field for exploring root development and its correlation to the stress/disease tolerance. We suggest that genes and QTLs revealed in our study could be a target in the wheat breeding practice when introduced in breeding programs. |
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| 700 | 1 | _ | |a Pariyar, Shree |0 P:(DE-Juel1)174522 |b 1 |
| 700 | 1 | _ | |a Lenz, Henning |0 P:(DE-Juel1)159493 |b 2 |u fzj |
| 700 | 1 | _ | |a Nagel, Kerstin |0 P:(DE-Juel1)129373 |b 3 |e Corresponding author |u fzj |
| 700 | 1 | _ | |a Fiorani, Fabio |0 P:(DE-Juel1)143649 |b 4 |e Corresponding author |u fzj |
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