Abstract:

Agrobiodiversity refers to the variety and variability of animals, plants, and microorganisms used directly or indirectly for food and agriculture, including crops, livestock, forestry, and fisheries. The underpinning of the entire agricultural system and an important part of agricultural production informatization, agrobiodiversity is also the basis of national resource strategies and national security. Although data and knowledge related to agrobiodiversity have been obtained from various research projects, several problems still exist; these include scattered data, lack of top-level designs, inadequate data standards, insufficiently interoperable systems, slow response, and few high-quality think tanks and data portals. To improve research and development on a big data portal for agrobiodiversity in China, we describe advances in agrobiodiversity big data in China and abroad in terms of research data platforms (basic, crop, livestock, forestry, and fishery data platforms; traditional cultural knowledge and think tank platforms; and assessment indicators) and basic resource objects (taxonomy, thesaurus, metadata standard, ontology, and scientific research workflow). In addition, we suggest a system architecture comprising four levels, namely, basic, resource, organizational, and application levels. Finally, we provide a future outlook on the construction and resource sharing of agrobiodiversity data platforms in China.

Key words: agrobiodiversity, crop, research data, ontology, scientific workflow, biodiversity, data platform, agro-information