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/Top Related