Chinese Academy of Agricultural Sciences (CAAS)


Planting talent at its core

The Chinese Academy of Agricultural Sciences launches new talent plans to drive innovation at the country’s premier agricultural research institution.

The Chinese Academy of Agricultural Sciences (CAAS) is China’s leader in agricultural technology. In the 60 years since CAAS was founded, it has always put its scientists at its core and has thus managed to accumulate a rich pool of talent.

CAAS has built a number of well-resourced research platforms. These feature: the world’s largest somatic cell bank for domesticated animals and poultry; the second largest genetic resource repository for crops; and, Asia’s largest national agricultural library. With two national key scientific engineering projects, six state key laboratories, 22 national crop and domestic animal breeding centres, multiple key laboratories under the Ministry of Agriculture, a number of field stations for scientific observation and testing and several quality inspection centres, CAAS is an agricultural research institution with the most improved and comprehensive facilities in China.

In response to the challenges of inadequate young academic leaders and inappropriate team structure of young talent, CAAS launched the Elite Youth Programme in 2013 as part of its plan to drive science and technology innovation. The programme has helped attract and cultivate a vibrant team of young and mid-career academic leaders.

To further enhance its young talent teams, in 2017 CAAS initiated a Young Talent Plan (2017–2030). This plan aims to increase the academy’s under-45 research cohort to approximately 4,750 by 2030 and it would mean that scientists under the age of 45 would account for two thirds of all staff scientists at CAAS. In order to make young researchers a driving force behind agricultural research, CAAS will also reform its human resource development system and incorporate 30 specific measures that address talent acquisition, cultivation, settlement and service support, as well as incentive mechanisms and researcher evaluations. With more open and fluid human resource mechanisms that select superior young researchers based on fair competition, CAAS will create a supportive environment for talent growth that encourages innovation and entrepreneurship.

For new recruits, supporting policies include: an additional subsidy of RMB 100,000–500,000 per year; research funds of RMB 800,000 to 2 million a year; and, a settlement subsidy of RMB 1 million or subsidized housing. In addition, CAAS provides promotion support and helps with graduate student recruitment, children’s education and spousal employment.

Aiming to build first-class disciplines and a world-class institute, CAAS is focussing on agricultural genomics and molecular breeding, agricultural information technology and big data, intelligent equipment, novel vaccines, agricultural nanotechnology and other cutting-edge research. It will also promote the innovation of core technologies for new variety development, intelligent agricultural operation, quality control and hazard identification for agricultural products, biological safety and animal nutrition, design and manufacturing of functional food, green agriculture, efficient resource utilization, and environmental control and remediation. CAAS sincerely welcomes researchers both at home and abroad to join it in its endeavours.

The Chinese Academy of Agricultural Sciences retains sole responsibility for content © 2017 The Chinese Academy of Agricultural Sciences.

1 July 2017 - 30 June 2018

Region: Global
Subject/journal group: All

The table to the right includes counts of all research outputs for Chinese Academy of Agricultural Sciences (CAAS) published between 1 July 2017 - 30 June 2018 which are tracked by the Nature Index.

Hover over the donut graph to view the FC output for each subject. Below, the same research outputs are grouped by subject. Click on the subject to drill-down into a list of articles organized by journal, and then by title.

Note: Articles may be assigned to more than one subject area.

81 23.81

Outputs by subject (FC)

Subject AC FC
Chemistry 16 5.54
Physical Sciences 2 0.29
Life Sciences 61 16.93
Earth & Environmental Sciences 8 1.90

Highlight of the month

A granular look at rice DNA

© Synergee/E+/Getty

© Synergee/E+/Getty

The complete sequencing of 3,010 rice genomes has revealed millions of genetic variants that could help plant breeders develop new and improved varieties of this staple food.

Researchers from the Chinese Academy of Agricultural Sciences, and more than a dozen other institutions, discovered around 29 million single DNA letter variants, 2.4 million small insertions or deletions of DNA and more than 90,000 complex structural variations circulating in the genomes of a diverse collection of Asian cultivated rice strains.

The researchers also identified in excess of 10,000 new rice genes. Plus, they found evidence for genetic sub-populations that matched the geographic origins of varieties across Asia, as well as genetic evidence that the plant was domesticated several times in India and China many thousands of years ago.

All of the data are now publicly available to help speed up the breeding of rice varieties with greater yields, drought resistance, or other beneficial traits.

Supported content

  1. Nature 557, 43–49 (2018). doi: 10.1038/s41586-018-0063-9

View the article on the Nature Index

See more research highlights from Chinese Academy of Agricultural Sciences (CAAS)

More research highlights from Chinese Academy of Agricultural Sciences (CAAS)

Top articles by Altmetric score in current window

Reconstitution of UCP1 using CRISPR/Cas9 in the white adipose tissue of pigs decreases fat deposition and improves thermogenic capacity

Proceedings of the National Academy of Sciences of the United States of America


Engineering sulfur storage in maize seed proteins without apparent yield loss

Proceedings of the National Academy of Sciences of the United States of America


1 July 2017 - 30 June 2018

International vs. domestic collaboration by FC

  • 65.26% Domestic
  • 34.74% International

Note: Hover over the graph to view the percentage of collaboration.

Note: Collaboration is determined by the fractional count (FC), which is listed in parentheses.

Affiliated joint institutions and consortia

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