2014
DOI: 10.1038/hdy.2014.38
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On the definition and utilization of heritable variation among hosts in reproduction ratio R0 for infectious diseases

Abstract: Infectious diseases have a major role in evolution by natural selection and pose a worldwide concern in livestock. Understanding quantitative genetics of infectious diseases, therefore, is essential both for understanding the consequences of natural selection and for designing artificial selection schemes in agriculture. The basic reproduction ratio, R 0 , is the key parameter determining risk and severity of infectious diseases. Genetic improvement for control of infectious diseases in host populations should… Show more

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Cited by 31 publications
(81 citation statements)
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References 29 publications
(44 reference statements)
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“…The strength and direction of IGEs can also evolve over time and across populations (Chenoweth et al 2010;Bailey and Zuk 2012;Kazancioğlu et al 2012;Edenbrow et al 2017), and associated social selection is predicted to vary accordingly (McGlothlin et al 2010). In recent years, IGEs have been incorporated into animal and plant breeding studies to more accurately predict evolutionary responses in agriculturally valuable traits, such as growth rate, thermal tolerance, and infection risk (Camerlink et al 2013(Camerlink et al , 2014(Camerlink et al , 2015Costa e Silva et al 2013;Anche et al 2014;Muñoz et al 2014;Alemu et al 2016;Baud et al 2017). A substantial literature explores the mathematical approaches used to study IGEs.…”
Section: Behavior and Igesmentioning
confidence: 99%
“…The strength and direction of IGEs can also evolve over time and across populations (Chenoweth et al 2010;Bailey and Zuk 2012;Kazancioğlu et al 2012;Edenbrow et al 2017), and associated social selection is predicted to vary accordingly (McGlothlin et al 2010). In recent years, IGEs have been incorporated into animal and plant breeding studies to more accurately predict evolutionary responses in agriculturally valuable traits, such as growth rate, thermal tolerance, and infection risk (Camerlink et al 2013(Camerlink et al , 2014(Camerlink et al , 2015Costa e Silva et al 2013;Anche et al 2014;Muñoz et al 2014;Alemu et al 2016;Baud et al 2017). A substantial literature explores the mathematical approaches used to study IGEs.…”
Section: Behavior and Igesmentioning
confidence: 99%
“…Genetic improvement of resistance to microparasitic diseases in breeding programs for livestock and aquaculture species is of interest for the same reasons as for macroparasitic diseases, as recently discussed in Janssen et al [1]. Genetic improvement should aim at reducing the risk and severity of disease outbreaks, which are both determined by the basic reproduction ratio, R 0 [2,3]. However, the definition of R 0 is different for microparasitic diseases than for macroparasitic diseases, because the disease status of animals is treated differently.…”
Section: Introductionmentioning
confidence: 99%
“…In these models, the probability that a cow gets infected within a time interval is a function of the susceptibility of the focal cow and the total infectivity of all the infectious herd mates. When infectivity contains a heritable component, selection for lower infectivity can also be used to improve populations by selective breeding (Lipschutz-Powell et al, 2012;Anche et al, 2014;Anacleto et al, 2015). Host susceptibility and infectivity effects can be analyzed with a generalized linear mixed model with a complementary log-log link function (GLMM) that also takes into account variation in exposure of susceptible cows to infected herd mates (Anche et al, 2015;Biemans et al, 2017).…”
Section: Introductionmentioning
confidence: 99%