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ATK Hairy Mariam – All 51 Sets !!EXCLUSIVE!!

ATK Hairy Mariam – All 51 Sets !!EXCLUSIVE!!



 
 
 
 
 
 
 

ATK Hairy Mariam – All 51 Sets

The affected bull was traced to Mariam, a New Zealand-sourced son of a farm bull that had been used in the New Zealand business. Only one of Mariam’s sons fathered offspring in this programme, and the putative sire was ultimately identified as Sky, a simple bull. Our evidence indicated that the inheritance of this defect was through the female lineage, with offspring possessing the abnormality the following lactation, but evidence of the defect persisting even beyond the following lactation. This suggests that the defect may be linked to a recessive allele, rather than a dominant allele, which would be maintained at low prevalence in a population of sires despite the considerable fitness benefits of possessing the defect. Quantitative assessment of the coat phenotype for all sires in the programme showed that affected offspring exhibited the same extremes of the phenotype as those identified previously with complete penetrance within the pedigree

In the data, “hairy” is only detected in one animal out of four and not detected in any control; therefore, it is not a credible observation. Furthermore, the lack of elevated PRL expression in these four, but not in control animals, suggests that the variant is unlikely the causative mutation for hairy mariam syndrome.

John Wu is currently working on indexing technology for searching large datasets. He primarily focuses on improving bitmap index technology with compression, encoding and binning. He is the key developer of FastBit bitmap indexing software, which has been used in a number of applications including High-Energy physics, combustion, network security, and query-driven visualization. John has also been working on a number of scientific computing projects including developing Thick-Restart Lanczos (TRLan) algorithm for solving eigenvalue problems and devising statistical tests for deterministic effects in broad band time series. John received a Ph.D. in computer science from the University of Minnesota, an M.S. in physics from the University of Wisconsin-Milwaukee, and a B.S. in physics from Nanjing University, China.

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