According to a new UN DESA report, The 2015 Revision, World Population Prospects: the world population is expected to reach 9.7 billion in 2050. The huge population poses great challenge to food security and fiber supply. Enhancing the adaptability and improving the tolerances to various adverse environments to guarantee higher and stabler crop production is the key to meet this challenge. This requires intensive elucidation of the genetic basis underlying complex plant traits. The more important demand is to understand the effects of various environmental factors on these traits.
Most important agronomic traits, such as yield, resistances or tolerances to biotic and abiotic stress are the results of the interaction between genotype and environment. Thus, better understanding of the behavior of a specific genotype under certain environments is one of the hotest scientific topics in plant biology and of great significance for sustainable stable crop production.
High-throughput and accurate plant phenotype is one of the bottlenecks for crop improvement. Recently, phenotyping has attracted extensive attentions from crop genetics, breeding and plant biology. Fast-growing high throughput phenotyping techniques have been widely applied in plant research. This is the era of PLANT PHENOMICS!
Plant phenotyping is a young interdisciplinary research, which emphasizes the communication and collaboration of scientists from different areas, such as biology, computer science, physics etc. To meet this requirement, the 1st Asia-Pacific Plant Phenotyping Conference was initiated and held in Beijing in October, 2016. More than 200 participants from 67 institutes of 13 countries attended the conference.
To promote the most advanced research progresses in plant phenotyping, the 2nd Asia-Pacific Plant Phenotyping Conference will be held on March 23-25th, 2018 in Nanjing, a beautiful capital city of six dynasties. We warmly welcome all scientists or representatives who are interested in plant phynotyping to participate!
Plant phenomics in post-genomics era