Performance of multi-trait and single-trait genomic selection for grain Fe and Zn concentrations in sorghum under different breeding constraints
Ephrem Habyarimana, Sonal Chavan, Chaitra Hugar, Suvarna, Niranjan Ravindra Thakur, Marco Lopez-Cruz, Jieqin Li, Pradeep Ruperao · 2025
Read Performance of multi-trait and single-trait genomic selection for grain Fe and Zn concentrations in sorghum under different breeding constraints by Ephrem Habyarimana, Sonal Chavan, Chaitra Hugar, Suvarna, Niranjan Ravindra Thakur, Marco Lopez-Cruz, Jieqin Li, Pradeep Ruperao (2025) 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/pmc-12749847.txt.
Description
Ephrem Habyarimana and six co-authors tested gene-based selection for iron and zinc in sorghum grain in a 2025 study. Breeding sorghum rich in these minerals is a cheap way to fight poor diets. Lab tests of grain are slow and costly, so gene forecasts can save time and money.
Forecasts that used many traits at once beat those using a single trait across tight breeding budgets. The biggest gain came when cheap, easy traits scored in a few places fed the model, rather than when the two target minerals were scored in more places and years. The authors say borrowing strength from easy traits can lift genetic gain per dollar and per season. The work suits programs with thin resources.
Catalog record
| CREATOR | Ephrem Habyarimana, Sonal Chavan, Chaitra Hugar, Suvarna, Niranjan Ravindra Thakur, Marco Lopez-Cruz, Jieqin Li, Pradeep Ruperao |
|---|---|
| YEAR | 2025 |
| COLLECTION | PAPERS |
| FORMAT | TXT |
| FILE SIZE | 48 KB |
| VERSION | 1.0 |
| LICENSE | CC BY 4.0 |
| RIGHTS | CC BY |
| SOURCE | Europe PMC |