2011
DOI: 10.1590/s1415-47572011005000049
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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-i… Show more

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Cited by 6 publications
(3 citation statements)
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“…Silva et al . proposed a ZIP model for quantitative trait loci mapping. More recently, Kleinke and Reinecke developed multiple imputation methods for “missing at random” zero‐inflated count data.…”
Section: Two‐part Models For Zero‐modified Count Datamentioning
confidence: 99%
See 1 more Smart Citation
“…Silva et al . proposed a ZIP model for quantitative trait loci mapping. More recently, Kleinke and Reinecke developed multiple imputation methods for “missing at random” zero‐inflated count data.…”
Section: Two‐part Models For Zero‐modified Count Datamentioning
confidence: 99%
“…For times-series analysis, Hasan and Sneddon [44] developed first-order autoregressive and moving average ZIP models. Silva et al [45] proposed a ZIP model for quantitative trait loci mapping. More recently, Kleinke and Reinecke [46] developed multiple imputation methods for "missing at random" zero-inflated count data.…”
Section: Recent Developmentsmentioning
confidence: 99%
“…However, all the above work did not involve QTL mapping. For QTL mapping of zero-inflated count traits, Cui and Yang (2009) used the EM (Expectation-Maximization) algorithm and Silva et al (2011) applied the ZIP regression model. More recently, Moghimbeigi (2015) showed that the two-part zero-inflated negative binomial (ZINB) regression model can be used to map QTLs with count trait.…”
Section: Introductionmentioning
confidence: 99%