Uncovering yield-related traits loci in Chinese wheat landraces using GWAS
Ying Guo, Zhe Zhang, Rui He, Rui Ma, Fangping Yang, Lijun Zhang, Zongbing Zhan, Na Liu, Caixia Lan, Bin Bai · 2026
Read Uncovering yield-related traits loci in Chinese wheat landraces using GWAS by Ying Guo, Zhe Zhang, Rui He, Rui Ma, Fangping Yang, Lijun Zhang, Zongbing Zhan, Na Liu, Caixia Lan, Bin Bai (2026) in the Tower of Babel, a free online library of public-domain works preserved in clean, searchable text. No sign-up. The full text is served as a plain-text file at a predictable URL, where text is present: https://antarctic-labs.com/tower-of-babel/PMC13311083.txt.
Description
Ying Guo and co-authors hunt yield trait loci in Chinese wheat landraces through genome scans in a 2026 study. Wheat yield rests on spike shape, grain count, and grain weight, all under complex gene control. Old local types from Gansu Province may hold fresh useful variants for breeding.
A panel of 372 landraces was scored for four yield traits over four years at two sites and genotyped on a marker chip. Five scan models found 19 loci in total across the traits, each with distinct type groups. Sixteen candidate genes were flagged, spanning growth and splicing roles. New loci give breeders fresh targets for higher yield.
Catalog record
| CREATOR | Ying Guo, Zhe Zhang, Rui He, Rui Ma, Fangping Yang, Lijun Zhang, Zongbing Zhan, Na Liu, Caixia Lan, Bin Bai |
|---|---|
| YEAR | 2026 |
| COLLECTION | PAPERS |
| FORMAT | TXT |
| FILE SIZE | 44482 |
| LICENSE | https://creativecommons.org/licenses/by/4.0 |
| RIGHTS | CC BY |
| SOURCE | Europe PMC |