表型性状的遗传作图一般集中在单个时间点上，但生物量是一个动态性状，在植物发育过程中是不断积累的，早期和晚期生长阶段由不同的QTL调控。非破坏性的表型成像技术使研究生物量的时间动态分布成为可能。德国植物遗传和作物研究所(Leibniz Institute of Plant Genetics and Crop Plant Research, IPK)的研究人员使用LemnaTec Greenhouse Scanalyzer分析了大麦中的生物量积累，表型数据提供了关于生物量积累的时间模式和遗传结构的信息。

Time course of QTL-dynamics for digital biomass (DB) in days after sowing (DAS). The figure represents seven SNPs that exceeded the FDR threshold of 0.1 for at least 1 day. Note that missing DAS data points were excluded in this graph. a Significance value –log(p) over time - each colored line represents one QTL. b Proportion of genetic variance explained by QTL separately (lower, colored lines) or in combination (upper grey line).

Neumann, Kerstin; Zhao, Yusheng; Chu, Jianting; Keilwagen, Jens; Reif, Jochen C.; Kilian, Benjamin; Graner, Andreas (2017): Genetic architecture and temporal patterns of biomass accumulation in spring barley revealed by image analysis. In: BMC plant biology 17 (1), S. 137. DOI: 10.1186/s12870-017-1085-4.