Lingfeng Duan

TL;DR: A high-throughput rice phenotyping facility is developed to monitor 13 traditional agronomic traits and 2 newly defined traits during the rice growth period and genome-wide association studies of the 15 traits identify 141 associated loci.

TL;DR: The key plant phenotyping technologies, particularly photonics-based technologies, are discussed, and their current applications in rice (wheat or barley) phenomics are introduced and are confident that these reliable high-throughput phenotypesing tools will give plant scientists new perspectives on the information encoded in the rice genome.

TL;DR: Quantitative trait locus (QTL) mapping with a high-density genetic linkage map was used to uncover the genetic basis of these complex agronomic traits, and 988 QTLs have been identified for all investigated traits, including three QTL hotspots.

TL;DR: Panicle-SEG was demonstrated to be a robust segmentation algorithm, which can be expanded for different rice accessions, different field environments, different camera angles, different reproductive stages, and indoor rice images, and it creates a new opportunity for nondestructive yield estimation.

TL;DR: Tests showed that the facility was capable of evaluating yield-related traits with a mean absolute percentage error of less than 5% and an efficiency of 1440 plants per continuous 24 h workday.