Chern CG, Fan MJ, Yu SM, Hour AL, Lu PC, Lin YC, Wei FJ, Huang SC, Chen S, Lai MH, Tseng CS, Yen HM, Jwo WS, Wu CC, Yang TL, Li LS, Kuo YC, Li SM, Li CP, Wey CK, Trisiriroj A, Lee HF, Hsing YI. A rice phenomics study - phenotype scoring and seed propagation of a T-DNA insertion-induced rice mutant population. Plant Mol. Biol. 65: 427-438 (2007).

Edwards D, Batley J. Plant bioinformatics: from genome to phenome. Trends Biotechnol. 22: 232-237 (2004).

Fitzgerald MA, McCouch SR, Hall RD. Not just a grain of rice: the quest for quality. Trends Plant Sci. 14: 133-139 (2009).

Glassbrook N, Ryals J. A systematic approach to biochemical profiling. Curr. Opin. Plant Biol. 4: 186-190 (2001).

Karsai I, Szucs P, Koszegi B, Hayes PM, Casas A, Bedo Z, Veisz O. Effects of photo and thermo cycles on flowering time in barley: a genetical phenomics approach. J. Exp. Bot. 59: 2707-2715 (2008).

Micol JL. Leaf development: time to turn over a new leaf? Curr. Opin. Plant Biol. 12: 9-16 (2009).

Price GD, Badger MR, Woodger FJ, Long BM. Advances in understanding the cyanobacterial CO2-concentrating-mechanism (CCM): functional components, Ci transporters, diversity, genetic regulation and prospects for engineering into plants. J. Exp. Bot. 59: 1441-1461 (2008).

Sauer U. High-throughput phenomics: experimental methods for mapping fluxomes. Curr. Opin. Biotechnol. 15: 58-63 (2004).

Schilling CH, Edwards JS, Palsson BO. Toward metabolic phenomics: analysis of genomic data using flux balances. Biotechnol. Prog. 15: 288-295 (1999).

Number of references = 9