Black Pastel
The Black Pastel Ball Python is a color and pattern altering mutation that is similar to the Cinnamon Ball Python, but which is a different mutation. A typical Black Pastel is a hyper darkened version of a Normal Ball Python. Deep Blacks with rich gold colors are normal, with a Super form that is almost solid black.
First Produced By:
Gulf Coast Reptiles
First Produced In:
2002
Gene Type:
Incomplete Dominant
Complex:
8 Ball Complex
Order through RGI:
Additional References
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About Our Test Grades
A+
Peer reviewed scientific paper detailing this mutation. Over 1000 homozygous, heterozygous, and normal samples have been run and match known genetics, and all known mutations are covered by our test.
Expected accuracy for this test is over 99.9%.
Expected accuracy for this test is over 99.9%.
A
Over 1000 homozygous, heterozygous, and normal samples have been run and match known genetics, and all known mutations are covered by our test.
Expected accuracy for this test is over 99.9%.
Expected accuracy for this test is over 99.9%.
B
Over 500 homozygous, heterozygous, and normal samples have been run and match known genetics, and all known mutations are covered by our test.
Expected accuracy for this test is over 99.5%.
Expected accuracy for this test is over 99.5%.
C
Over 200 homozygous, heterozygous, and normal samples have been run and match known genetics over 99% of the time. To date our test accounts for all known mutations that cause this morph, but we are still looking to see if there are any signs that another mutation exists that causes this morph.
Expected accuracy for this test is over 99%.
Expected accuracy for this test is over 99%.
D
Over 100 homozygous, heterozygous, and normal samples have been run and match known genetics over 80% of the time for at least one mutation. An additional unmapped mutation may exist for this morph. Either way, we are still working to optimize this test so that it will cover all known mutations for this morph.
Expected accuracy will vary and will be below 99% because not enough tests have been run at this time.
Expected accuracy will vary and will be below 99% because not enough tests have been run at this time.
E
The design and optimization for this test is in its final stages, but no working test exists at this point. Projected time to having a working test should be less than 2 months, unless it ends up that more sampling and sequencing is needed.
At that point the test would move down to being a Grade F.
At that point the test would move down to being a Grade F.
F
Sequencing is in progress and we expect to have a working test in 2-4 months, as long as more sampling and sequencing is not needed.