| Download | - View final version: Deciphering genetic basis of developmental and agronomic traits by integrating high‐throughput optical phenotyping and genome‐wide association studies in wheat (PDF, 4.3 MiB)
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| DOI | Resolve DOI: https://doi.org/10.1111/pbi.14104 |
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| Author | Search for: Gao, Jie; Search for: Hu, Xin; Search for: Gao, Chunyan; Search for: Chen, Guang; Search for: Feng, Hui; Search for: Jia, Zhen; Search for: Zhao, Peimin; Search for: Yu, Haiyang; Search for: Li, Huaiwen; Search for: Geng, Zedong; Search for: Fu, Jingbo; Search for: Zhang, Jun; Search for: Cheng, Yikeng; Search for: Yang, Bo; Search for: Pang, Zhanghan; Search for: Xiang, Daoquan1ORCID identifier: https://orcid.org/0000-0001-7144-1274; Search for: Jia, JizengORCID identifier: https://orcid.org/0000-0001-8671-2145; Search for: Su, HandongORCID identifier: https://orcid.org/0000-0001-8621-2941; Search for: Mao, Hailiang; Search for: Lan, CaixiaORCID identifier: https://orcid.org/0000-0001-8436-9486; Search for: Chen, WeiORCID identifier: https://orcid.org/0000-0001-7225-3785; Search for: Yan, WenhaoORCID identifier: https://orcid.org/0000-0001-8165-7335; Search for: Gao, Lifeng; Search for: Yang, WannengORCID identifier: https://orcid.org/0000-0003-1095-1355; Search for: Li, QiangORCID identifier: https://orcid.org/0000-0003-0705-2850 |
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| Affiliation | - National Research Council of Canada. Aquatic and Crop Resource Development
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| Funder | Search for: Fundamental Research Funds for the Central Universities; Search for: National Basic Research Program of China; Search for: National Natural Science Foundation of China |
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| Format | Text, Article |
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| Subject | common wheat; high-throughput phenotyping; wholegenome re-sequenc |
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| Abstract | Dissecting the genetic basis of complex traits such as dynamic growth and yield potential is a major challenge in crops. Monitoring the growth throughout growing season in a large wheat population to uncover the temporal genetic controls for plant growth and yield-related traits has so far not been explored. In this study, a diverse wheat panel composed of 288 lines was monitored by a non-invasive and high-throughput phenotyping platform to collect growth traits from seedling to grain filling stage and their relationship with yield-related traits was further explored. Whole genome re-sequencing of the panel provided 12.64 million markers for a high-resolution genome-wide association analysis using 190 image-based traits and 17 agronomic traits. A total of 8327 marker-trait associations were detected and clustered into 1605 quantitative trait loci (QTLs) including a number of known genes or QTLs. We identified 277 pleiotropic QTLs controlling multiple traits at different growth stages which revealed temporal dynamics of QTLs action on plant development and yield production in wheat. A candidate gene related to plant growth that was detected by image traits was further validated. Particularly, our study demonstrated that the yield-related traits are largely predictable using models developed based on i-traits and provide possibility for high-throughput early selection, thus to accelerate breeding process. Our study explored the genetic architecture of growth and yield-related traits by combining high-throughput phenotyping and genotyping, which further unravelled the complex and stage-specific contributions of genetic loci to optimize growth and yield in wheat. |
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| Publication date | 2023-06-30 |
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| Publisher | Wiley |
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| Licence | |
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| In | |
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| Language | English |
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| Peer reviewed | Yes |
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| Export citation | Export as RIS |
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| Report a correction | Report a correction (opens in a new tab) |
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| Record identifier | 671caca2-b4b6-43a9-a4f2-6b60361edf7d |
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| Record created | 2023-07-31 |
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| Record modified | 2024-05-01 |
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