Longitudinal genomic prediction of cacao disease resilience identifies robust witches’ broom disease targets
Insuck Baek, Rakesh K. Upadhyay, Moon S. Kim, Lyndel W. Meinhardt, Ezekiel Ahn · 2026
Read Longitudinal genomic prediction of cacao disease resilience identifies robust witches’ broom disease targets by Insuck Baek, Rakesh K. Upadhyay, Moon S. Kim, Lyndel W. Meinhardt, Ezekiel Ahn (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/PMC13311075.txt.
Description
Insuck Baek and co-authors test genome wide forecasts of cacao disease strength over time in a 2026 study. Past cacao gene work hunted single spots, yet orchard value depends on harvest after harvest of healthy pods. Repeated records for pod health and two fungal diseases were modeled from DNA markers.
Records covered 102 cacao types over four harvests. Trait repeat scores ran high, most for witches broom disease traits. Forecasts for broom disease branch and flower signs held up across checks, genomes, and trait definitions, while other traits shifted more. A shortlist of types that balance yield and disease strength was named for breeding.
Catalog record
| CREATOR | Insuck Baek, Rakesh K. Upadhyay, Moon S. Kim, Lyndel W. Meinhardt, Ezekiel Ahn |
|---|---|
| YEAR | 2026 |
| COLLECTION | PAPERS |
| FORMAT | TXT |
| FILE SIZE | 50176 |
| LICENSE | https://creativecommons.org/licenses/by/4.0 |
| RIGHTS | CC BY |
| SOURCE | Europe PMC |