Large-scale integration of meta-QTL and genome-wide association study identifies genomic regions and candidate genes for photosynthetic efficiency traits in bread wheat
The findings will give further insights into the genetic determinants of photosynthetic efficiency traits and provide some reliable MQTLs and putative CGs for the genetic improvement of photosynthetic efficiency in wheat.
Authors
- Lijian Guo (ORCID: https://orcid.org/0000-0003-3209-1157)
- Delong Yang (ORCID: https://orcid.org/0000-0001-5370-1589)
- Tao Chen (ORCID: https://orcid.org/0000-0002-5147-9918)
- Kaiqi Guo (ORCID: https://orcid.org/0000-0002-5387-4380)
- Chunhua Cheng (ORCID: https://orcid.org/0000-0002-0545-3450)
- Jingfu Ma (ORCID: https://orcid.org/0009-0009-2878-4568)
- Binxue Kong
- Zhuo Che
- Peipei Zhang (ORCID: https://orcid.org/0000-0001-9070-9328)
- Ming Chen (ORCID: https://orcid.org/0000-0002-6239-5015)
- Yun Li (ORCID: https://orcid.org/0000-0002-8426-565X)
- Jiangying Long
Institutions
- Gansu Agricultural University (CN)
Publication Details
- Journal
- BMC Genomics
- Published
- 2025-03-22
- DOI
- https://doi.org/10.1186/s12864-025-11472-6
- Citations
- 3
- Primary Topic
- Wheat and Barley Genetics and Pathology
- Type
- article
- Field-Weighted Citation Impact
- 5.25
Funders
- National Natural Science Foundation of China