From Field to File Uniting Plant Biodiversity Science and Data Analysis for Global Impact Dr. Merry Meryam Martgrita Faculty of Biotechnology – Institut Teknologi Del Supported by bbc.del.ac.id O.pptx
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Advances In Agronomy Volume 105 1st Edition Donald L Sparks Eds
From Field to File Uniting Plant Biodiversity Science and Data Analysis for Global Impact Dr. Merry Meryam Martgrita Faculty of Biotechnology – Institut Teknologi Del Supported by bbc.del.ac.id O.pptx
1.
ESSENTIAL ECOSYSTEM
FUNCTION
SOURCE OFHUMAN
SUSTENANCE
A CHEMICAL FACTORY
OUR CHALLENGE
OXYGEN PRODUCTION, CLIMATE
REGULATION, SOIL STABILITY, WATER
CYCLES.
THE BASE OF ALMOST ALL GLOBAL FOOD
CHAINS AND AGRICULTURE
DOCUMENTING AND UNDERSTANDING
THIS VAST DIVERSITY BEFORE IT'S LOST.
THE ORIGIN OF A VAST ARRAY OF
NATURAL COMPOUNDS WITH MEDICINAL
PROPERTIES
2.
Collect input fromusers,
customers, and team
members for
improvement.
02
Ethnobotany
Precise GPS
location, climate,
and soil data
collection using
modern sensors.
04
Geospatial
Data
PHASE 1
FROM FIELD -
COLLETION DATA
AND CURATION
Targeted collection
in biodiversity
hotspots and
vulnerable regions.
01
Botanical
Expeditions
03
Specimen
Collection
Targeted collection
in biodiversity
hotspots and
vulnerable regions.
High-quality
samples for
herbaria, seed
banks, and modern
DNA labs
3.
Aggregating data intoplatforms like GBIF, UN
Biodiversity Lab, and botanical garden portals (e.g., Kew,
New York Botanical Garden).
Converting millions of physical and textual
records into standardized digital data.
01
Digitization
03
Global Databases
02
Mapping species distribution, diversity
hotspots, and environmental correlations.
Spatial Analysis (GIS)
04
Using machine learning to identify patterns
and predict areas of high potential or high
risk of species loss.
AI and Predictive
Modeling
4.
Identifying the specificgenes
responsible for beneficial compounds or
traits.
Funtional Genes
Using computation to interpret massive
genomic datasets.
Bioinformatics
Advanced
Sequencing
Rapid and cost-effective DNA
sequencing technologies (e.g., PacBio,
Illumina).
Genomics
Definitions
The study of an organism's entire DNA
sequence and function
PHASE 3
5.
Climate Resilience
Using genomicdata to breed
drought, heat, and pest-
resistant crops faster than
traditional methods
Enhanced Nutrition
'Biofortification' of staple
crops (e.g., Golden Rice
with increased Vitamin A).
Sustainable Agriculture
Reducing reliance on pesticides and
fertilizers by developing naturally
resilient varieties.
Meeting Global Demands
Addressing protein
deficiency through novel
plant-based protein sources
FOOD SECURITY AND
WELFARE
6.
Challenges and Ethical
Considerations
Access& Benefit
Sharing (ABS)
Public
Acceptance
Data
Security/Privacy
Regulation
Harmonization
Ensuring fair compensation for source
countries and indigenous communities (Nagoya
Protocol compliance).
Managing sensitive genetic and location data
responsibly.
Addressing concerns around genetically
modified organisms (GMOs).
Need for clear and harmonized global
regulations for gene editing technologies
7.
A Call forIntegrated Action and
Collaboration
INTERDISCIPLINARY
OPEN COLLABORATION
Uniting field science, data science,
genetics, policy, and ethics experts.
Emphasizing data sharing and
international partnerships.
Addressing human well-being as
intrinsically linked to ecosystem health.
Need for sustained investment in
biodiversity data infrastructure globally.
PLANETARY HEALTH
INVESTMENT
8.
SUMMARY
Plant biodiversity data,powered by genomics and data
analysis, provides crucial insights for health, food security,
and sustainability.
VISION
A future where we sustainably harness the benefits of plant
life for global well-being.