Entries by Fatai Ayomide Akande

Predicting complex phenotypes using multi-omics data in maize

Plant breeders have long relied on genetic markers to predict how crops will perform, but many important traits such as yield, flowering time, and stress responses are shaped by complex interactions between genes and the environment. In this study, Creach et al. investigated whether combining multiple layers of biological information could improve the prediction of […]

Evidence for C4 photosynthetic fluxes in transgenic rice plants

Improving photosynthetic efficiency is an important strategy to boost yields in staple crops such as rice, which relies on the relatively inefficient C3 pathway. In contrast, C4 photosynthesis minimizes photorespiration through a carbon-concentrating mechanism, making it more productive under high-light and high-temperature conditions. Engineering C4 traits into rice has long been a major goal, but […]