Abstract:
:Now a days, an important and interesting alternative in the control of tick-infestation in cattle is to select resistant animals, and identify the respective quantitative trait loci (QTLs) and DNA markers, for posterior use in breeding programs. The number of ticks/animal is characterized as a discrete-counting trait, which could potentially follow Poisson distribution. However, in the case of an excess of zeros, due to the occurrence of several noninfected animals, zero-inflated Poisson and generalized zero-inflated distribution (GZIP) may provide a better description of the data. Thus, the objective here was to compare through simulation, Poisson and ZIP models (simple and generalized) with classical approaches, for QTL mapping with counting phenotypes under different scenarios, and to apply these approaches to a QTL study of tick resistance in an F2 cattle (Gyr × Holstein) population. It was concluded that, when working with zero-inflated data, it is recommendable to use the generalized and simple ZIP model for analysis. On the other hand, when working with data with zeros, but not zero-inflated, the Poisson model or a data-transformation-approach, such as square-root or Box-Cox transformation, are applicable.
journal_name
Genet Mol Bioljournal_title
Genetics and molecular biologyauthors
Silva FF,Tunin KP,Rosa GJ,da Silva MV,Azevedo AL,da Silva Verneque R,Machado MA,Packer IUdoi
10.1590/S1415-47572011005000049subject
Has Abstractpub_date
2011-10-01 00:00:00pages
575-81issue
4eissn
1415-4757issn
1678-4685pii
gmb-34-1-575journal_volume
34pub_type
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