Dissecting seed composition QTL from wild soybean: fine-mapping, candidate gene identification, and evaluation of introgression effects on agronomic performance.

De Meyer E, Mahmood A, Usovsky M, Gillman J, Yang B, Decker J, Song Q, Meinhardt C, Dennigmann M, Singh AK, Graef G, Monteverde E, Scaboo A

Open source

DOI
10.1007/s00122-025-05048-x
Published
2025 Oct 3
Container
TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik
Publisher
Not recorded
Open access
yes

Credibility signals

limited evidence Score 45/100 under policy 1.0.0. This is a metadata assessment, not a judgment of the paper's conclusions.

Show all credibility signals

Cite this work

BibTeX

@article{allodium:10.1007/s00122-025-05048-x,
  title = {Dissecting seed composition QTL from wild soybean: fine-mapping, candidate gene identification, and evaluation of introgression effects on agronomic performance.},
  author = {De Meyer E and Mahmood A and Usovsky M and Gillman J and Yang B and Decker J and Song Q and Meinhardt C and Dennigmann M and Singh AK and Graef G and Monteverde E and Scaboo A},
  year = {2025},
  journal = {TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik},
  doi = {10.1007/s00122-025-05048-x},
  url = {https://doi.org/10.1007/s00122-025-05048-x}
}

RIS

TY  - JOUR
TI  - Dissecting seed composition QTL from wild soybean: fine-mapping, candidate gene identification, and evaluation of introgression effects on agronomic performance.
AU  - De Meyer E
AU  - Mahmood A
AU  - Usovsky M
AU  - Gillman J
AU  - Yang B
AU  - Decker J
AU  - Song Q
AU  - Meinhardt C
AU  - Dennigmann M
AU  - Singh AK
AU  - Graef G
AU  - Monteverde E
AU  - Scaboo A
PY  - 2025
JO  - TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik
DO  - 10.1007/s00122-025-05048-x
UR  - https://doi.org/10.1007/s00122-025-05048-x
ER  - 

APA

E, D. M., A, M., M, U., J, G., B, Y., J, D., Q, S., C, M., M, D., AK, S., G, G., E, M., & A, S. (2025). Dissecting seed composition QTL from wild soybean: fine-mapping, candidate gene identification, and evaluation of introgression effects on agronomic performance.. TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik. https://doi.org/10.1007/s00122-025-05048-x

Source records