Publikationen von F. de Abreu e Lima

Pott, D. M.; de Abreu e Lima, F.; Soria, C.; Willmitzer, L.; Fernie, A. R.; Nikoloski, Z.; Osorio, S.; Vallarino, J. G.: Metabolic reconfiguration of strawberry physiology in response to postharvest practices. Food Chemistry 321, 126747 (2020)

Cubillos, A.; Tong, H.; Alseekh, S.; de Abreu e Lima, F.; Yu, J.; Fernie, A. R.; Nikoloski, Z.; Laitinen, R.: Inheritance patterns in metabolism and growth in diallel crosses of Arabidopsis thaliana from a single growth habitat. Heredity 120, S. 463 - 473 (2018)

de Abreu e Lima, F.; Li, K.; Wen, W.; Yan, J.; Nikoloski, Z.; Willmitzer, L.; Brotman, Y.: Unraveling lipid metabolism in maize with time-resolved multi-omics data. The Plant Journal 93 (6), S. 1102 - 1115 (2018)

de Abreu e Lima, F.; Willmitzer, L.; Nikoloski, Z.: Classification-driven framework to predict maize hybrid field performance from metabolic profiles of young parental roots. PLoS One 13 (4), e0196038 (2018)

Vallarino, J. G.; de Abreu e Lima, F.; Soria, C.; Tong, H.; Pott, D. M.; Willmitzer, L.; Fernie, A. R.; Nikoloski, Z.; Osorio, S.: Genetic diversity of strawberry germplasm using metabolomic biomarkers. Scientific Reports 8 (1), 14386 (2018)

Wen, W.; Jin, M.; Li, K.; Liu, H.; Xiao, Y.; Zhao, M.; Alseekh, S.; Li, W.; de Abreu e Lima, F.; Brotman, Y. et al.; Willmitzer, L.; Fernie, A. R.; Yan, J.: An integrated multi-layered analysis of the metabolic networks of different tissues uncovers key genetic components of primary metabolism in maize. The Plant Journal 93 (6), S. 1116 - 1128 (2018)

Scossa, F.; Brotman, Y.; de Abreu e Lima, F.; Willmitzer, L.; Nikoloski, Z.; Tohge, T.; Fernie, A. R.: Genomics-based strategies for the use of natural variation in the improvement of crop metabolism. Plant Science 242, S. 47 - 64 (2016)

de Abreu e Lima, F.; Leifels, L.; Nikoloski, Z.: Regression-Based Modeling of Complex Plant Traits Based on Metabolomics Data. In: Plant Metabolomics: Methods and Protocols, S. 321 - 327 (Hg. António, C.). Humana Press, New York (2018)