Shenghao Gu

TL;DR: The challenges and prospective of crop phenomics are discussed in order to provide suggestions to develop new methods of mining genes associated with important agronomic traits, and propose new intelligent solutions for precision breeding.

TL;DR: In this paper, the effect of precision fertilization management and traditional management on maize plant height, aboveground biomass, leaf area index and yields was compared at two sites in Hei Longjiang province in 2015 and 2016.

TL;DR: The newly-built CLI was demonstrated to be a more robust indicator than mechanical properties, FWS, and RI when evaluating lodging resistance in terms of both reliability and resolution and provides technical support for accurate identification of lodging-resistant phenotypic traits.

TL;DR: This study proposes key techniques for current plant phenotypes, and looks forward to the research on plant phenotype detection technology in the field environment, fusion and data mining of plant phenotype multivariate data, simultaneous observation of multi-scale phenotype platform and promotion of a comprehensive high-throughput phenotype technology.

TL;DR: A standard process for stem micro‐CT data acquisition and an automatic CT image process pipeline are developed to obtain vascular bundle traits of stems including geometry‐related, morphology‐related and distribution‐related traits and useful information is provided for understanding the genetic controls of vascular bundle formation and development.