Online direct Field-to-research phenomics

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Online Direct Field-to-Researcher Phenomics

At the Forefront of Plant Genomics

October 20121 1


AGENDA 

Introduction to Evogene

The CROP system concept

Current status & future directions

Summary

At the Forefront of Plant Genomics

2


The Challenge & the Opportunity Modern agriculture The Challenge : Provide More with Less -

Need to double (!) agri output by 2050

-

Yield needs to grow faster to close gap

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ONLY 10% of world land is arable

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Climate change & deforestation  amount of arable land being reduced every year

The Solution: Improved Plants

Yield & Abiotic

Biotic & Other

 Increase yield

 Resistance to insects

 Secure yield stability

 Disease control

 Improve drought tolerance

 Herbicide tolerance

 Enhance fertilizer utilization

 Enhance quality characteristics

The Opportunity: Utilize Plant Genomics to Improve Plants At the Forefront of Plant Genomics

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Evogene’s Mission

To be the world leader in applying Plant Genomics for improving plant performance to address the global demand for food, feed, fiber & fuel

At the Forefront of Plant Genomics

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Evogene’s Role in Plant Improvement Application Pathways

Improved Plants

Biotechnology

Plant Genomics

Advanced Breeding

Ag-Chemicals

Unique Science & Technology aaaaaaaa

Major Ag-Companies

Partnerships for Products Development

At the Forefront of Plant Genomics

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Overview Trait Discovery Process

Science Plant expertise & know-how Product Definition

Product Understanding

Multi-Year Work Plan

On-going programs: Discovery rounds

Data Public & proprietary Infrastructure Development Computational Technology

Validation Technology Plant POC

At the Forefront of Plant Genomics

Product Development


Product Definition

Experimental Genomics

At the Forefront of Plant Genomics

Multi-Year Work Plan

On-going programs: Discovery rounds

Product Development

Infrastructur e Developmen t

Process

Experiment design

Product Understanding

Growth

Data production

Phenotypic Data

Expression

Metabolome

Genome

Transcriptome

Gene to gene interactions

GWAS

QTL

Pathways

Data integration

7


AGENDA 

Introduction to Evogene

The CROP system concept Requirements & objective System overview

Current status & future directions

Summary

At the Forefront of Plant Genomics

8


CROPs - Required Features 

What are the challenges of the Experimental Genomic process?   

Reliability of data Response times Throughput and costs

What is required from a phenotyping system?    

Comprehensive Reliable & rapid data transfer Enable data standardization Provide quality control

 

Cost-effective High capacity

CROPs: Comprehensive Remote Online Phenotyping system

At the Forefront of Plant Genomics

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CROPs - Objective To facilitate generation of comprehensive and reliable data from field trials and enable their rapid transfer for QA and analysis

At the Forefront of Plant Genomics

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AGENDA 

Introduction to Evogene

The CROP system concept Requirements & objective System overview

Current status & future directions

Summary

At the Forefront of Plant Genomics

11


CROPs - Overview

Station One

Standardized 1. terminology

Phenotypic 4. repository and data analysis platform

At the Forefront of Plant Genomics

Communication 2. channel

data acquisition and 3. QA


1. Book of traits & Trait Ontology Main Application: standardization

At the Forefront of Plant Genomics

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2. Station One Main Application: data acquisition and on line data transfer

Field Office

At the Forefront of Plant Genomics


3. Acquisition & Rapid QA Main Application: data collection & QA

Raw

Processed

Final

1 Technical QA   

Data ranges Units Missing values

2

3

Scientific QA

Normalization

 

Outliers Treatment effects

Station One At the Forefront of Plant Genomics

Spatial effects


4. eTrait Main Application: data QA, storage and analysis 

Target  To assess, store and analyze phenotypic data in order to gain understanding of traits of interest under various conditions Overview and Key features  Trait-centric data repository  Integration of data from many fields  Methodology of QA and analysis  Analysis of measurable phenotypic traits  Flexible visual reports

At the Forefront of Plant Genomics

Trait1

Trait2

Trait3

Study1 Per study

Study2 single trait

Per study multi-traits

Study3

Study4

Cross studies single trait

Cross studies multi-traits

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CONFIDENTIAL


AGENDA 

Introduction to Evogene

The CROP system concept

Current status & future directions

Summary

At the Forefront of Plant Genomics

17


Current Status- Available CROP Features  Comprehensive- a variety of phenotypic data sources used.  Book-Of-Traits management, Plant Ontology definitions  Secure remote communication to Evogene's R&D facilities  Built-in data QA mechanisms  Metadata recording for every measurement (user, timestamp, station, etc.)  Unlimited number of experiments / plots / traits

At the Forefront of Plant Genomics

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Example – Wheat Data generation & transfer by CROPs 

Field size: 5.5 ha.

3000 Plots

Phenomics data  32 measured phenotypic parameters per plot  More than 1M data points

Other Data types:  Genomic  Expression  Ionome

Reliability and timing: 90% of the Phenomic data stored and assessed within 3 wks after harvest

At the Forefront of Plant Genomics

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Data generated & transferred by CROPS to date Years Data Type

2008

2009

2010

2011

2012

Non-coding RNA Proteomic Ionomic Metabolomics Genomic Transcriptome Expression

Phenomics 1

3

8

10

20

28

17

7

6

4

3

3

‌

Crop / species (example) Total number of trials: over 100 At the Forefront of Plant Genomics

CONFIDENTIAL

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Future Directions - The Phenomics Vision Imaging for structural & physiological parameters

Aerial phenotyping

RGB

Crops

Root phenotyping

Considerations     

At the Forefront of Plant Genomics

I.R

Relevance Precision Standardization Throughput Cost

Plant indexes

Hyperspecral


AGENDA 

Introduction to Evogene

The CROP system concept

Current status & future directions

Summary

At the Forefront of Plant Genomics

22


Summary 

Evogene is a world-leader in trait discovery for improving plant trait performance.

Trait discovery is achieved by combining cross-location, cross-trial comprehensive, accurate OMIC data; Phenomics data is key to the process.

CROPs has been developed for obtaining large amounts of high resolution, accurate, standardized phenomic data from field trials, enabling rapid data transfer and providing quality control.

Forecast: Integration of technologies and processes, focusing on   

Increasing capacity and accuracy Reducing costs and time Extending phenotypic characteristics (e.g. additional organs, physiology characteristic, other)

At the Forefront of Plant Genomics

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Development of an Online Direct Field-to-Researcher Phenomics System at Evogene System at At the Forefront of Plant Genomics

October 2012

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