8/9/2019 Fingerprinting Indonesia Cacao Clones.pdf

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donesia has problem with low cocoa yield and pests / diseases

reeding and selection process for superior cocoa clones needs long time and bigfforts

ocoa germplasm collections are badly maintained with many mis-identification

ff-types)

eed to identify best and right individual trees (true-to-type) to be used asarental clones

2. Objectives

Summary

We were able to extract DNA and genotype more than 4033 cocoa tre

Indonesia (from Mars Regional Cocoa Center research station, Luwu S

Sulawesi) in less than 6 months

We succeeded in identifying and defining a strategy that allowed us tand

normalize large amount of DNA samples in short time

We succeeded in identifying the leading laboratories which used the

technologies and in defining a strategy that allowed us to genotype

Collaboration between research institutes are now integrated in stud

correcting individual trees of cocoa germplasm collection in the field

To have faster and more accurate breeding and selection process for

producing new, high yielding and resistant cocoa clones

To identify the right individual trees to be used as parental clones (true-to-type)

To complement phenotypic data with genetic information for higher

accuracy and to speed up the selection process

Data is shared in public domain to help cocoa breeder and farmers

1. The Problem

Off types Identification in Fingerprinting Indonesia Cocoa Clones

Rany Agustina Susanti*, Juan Carlos Motamayor, Donald Livingstone III**, Smilja Lambert***

*Mars Indonesia, Makassar Indonesia

**Mars-USDA, Miami United States

*** Mars Australia, Ballarat Australia

Mars Miami DNA Lab Mars Makassar, IndonesiaDNA Lab

3. MethodDNA Extraction

1. Samples collecting in the field

2. Cutting and homogenizing leaf sample3. Centrifuge to take supernatant4. Binding DNA with binding matrix

5. Eluting DNA with pure water

SNP method

(Large amount sample, shorter time)Using Dapeng 24 Markers (Mat_150, Mat_Tc1060, Mat_Tc75, Mat_Tc151, Mat_Tc139,Mat_Tc1126, Mat_Tc364, Mat_Tc90, Mat_Tc230, Mat_Tc891, Mat_Tc1439, Mat_Tc591, Mat_Tc174,

Mat_Tc534, Mat_Tc1484, Mat_Tc372, Mat_Tc998, Mat_Tc329, Mat_Tc702, Mat_Tc144, Mat_Tc602,

Mat_Tc899, Mat_Tc226, Mat_Tc878)

Fluidigm Technology

4. Result

MRCC Parental Trees Summary

Total sample : 13 clones, 113 trees

Off-types trees : 5 trees (4.42% from total trees)

Off-types trees has been found in PBC123, M05, and BB01 clo

Laboratory Activities

All the true-to-type parental trees will be used for pollination and

flowering trial research

5. Follow up research

Data is shared publications

This work is being supported by the Cocoa Genome Project where Ma

sequenced and annotated the whole cocoa genome and release data

domain to be accessible to all cocoa scientists on the World to use it fo

better cocoa varieties for cocoa farmers around the world. In 2010, theplaced on the Web by the intellectual property organization Publi

Property Resource for Agriculture (PIPRA) which helps developing co

access to agricultural science they can use. Any scientist can access

after registering on the website. By making the results publicly availab

will have access to key learnings to advance plant science, while plant farmers around the world will be able to develop cacao trees that are hi

and resistant to Pests/diseases, this way assuring sustainable cocoa pr

the future.

http://www.cacaogenomedb.org/

http://cocoasustainability.com/

http://www.cacaogenomedb.org/http://cocoasustainability.com/http://cocoasustainability.com/http://www.cacaogenomedb.org/