Chinese Academy of Agricultural Sciences (CAAS)
中国农业科学院

China

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 August 2016 - 31 July 2017

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 August 2016 - 31 July 2017 which are tracked by the Nature Index.

Hover over the donut graph to view the WFC 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.

AC FC WFC
47 11.92 11.92

Outputs by subject (WFC)

Subject AC FC WFC
Life Sciences 41 10.72 10.72
Chemistry 4 0.73 0.73
Earth & Environmental Sciences 1 0.38 0.38
Physical Sciences 2 0.15 0.15

Highlight of the month

Genes reveal the history of mustard greens

© Ryoji Yoshimoto/Aflo/Getty

© Ryoji Yoshimoto/Aflo/Getty

The recently mapped genome sequence of the vegetable crop Brassica juncea — better known as Chinese mustard — will enable the engineering of the staple to produce larger yields of hardier, more nutritious, and disease resistant plants.

A China-led team, including researchers from the Chinese Academy of Agricultural Sciences (CAAS), decoded the genetic map of Chinese mustard, which arose through natural hybridization between Chinese cabbage and black mustard, two other members of the Brassica genus. As they report in Nature Genetics, analyses of the sequence from the plant’s 36 chromosomes revealed that corresponding genes from the Chinese mustard’s two ancestral lineages evolved and diversified to produce the assorted varieties in use today for vegetable and oilseed production.

The sequence is publicly available on the Brassica Database website maintained by CAAS.

Supported content

  1. Nature Genetics 48, 1225–1232 (2016). doi: 10.1038/ng.3657

View the article on the Nature Index

1 August 2016 - 31 July 2017

International vs. domestic collaboration by WFC

  • 63.25% Domestic
  • 36.75% International

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

Top 10 domestic collaborators by WFC (64 total)

  • Chinese Academy of Agricultural Sciences (CAAS), China
  • Domestic institution
  1. Chinese Academy of Sciences (CAS), China (12.07)
    4.07
    8.01
  2. Zhejiang University (ZJU), China (3.88)
    1.79
    2.09
  3. Nanjing Agricultural University (NAU), China (2.33)
    1.52
    0.82
  4. Nanjing University (NJU), China (1.76)
    0.60
    1.17
  5. University of Chinese Academy of Sciences (UCAS), China (1.68)
    1.16
    0.52
  6. Jilin University (JLU), China (1.20)
    0.67
    0.53
  7. Biomarker Technologies Corporation, China (1.16)
    0.69
    0.47
  8. Dalian University of Technology (DUT), China (1)
    0.08
    0.92
  9. Fuzhou University (FZU), China (1)
    0.11
    0.89
  10. Lanzhou University (LZU), China (1)
    0.33
    0.67

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

Affiliated joint institutions and consortia

Return to institution outputs