000061001 001__ 61001
000061001 005__ 20190709135454.0
000061001 0247_ $$2doi$$a10.1371/journal.pone.0172711
000061001 0248_ $$2sideral$$a98225
000061001 037__ $$aART-2017-98225
000061001 041__ $$aeng
000061001 100__ $$aSae-Lim, P.
000061001 245__ $$aA comparison of nonlinear mixed models and response to selection of tick-infestation on lambs
000061001 260__ $$c2017
000061001 5060_ $$aAccess copy available to the general public$$fUnrestricted
000061001 5203_ $$aTick-borne fever (TBF) is stated as one of the main disease challenges in Norwegian sheep farming during the grazing season. TBF is caused by the bacterium Anaplasma phagocytophilum that is transmitted by the tick Ixodes ricinus. A sustainable strategy to control tickinfestation is to breed for genetically robust animals. In order to use selection to genetically improve traits we need reliable estimates of genetic parameters. The standard procedures for estimating variance components assume a Gaussian distribution of the data. However, tick-count data is a discrete variable and, thus, standard procedures using linear models may not be appropriate. Thus, the objectives of this study were twofold: 1) to compare four alternative non-linear models: Poisson, negative binomial, zero-inflated Poisson and zeroinflated negative binomial based on their goodness of fit for quantifying genetic variation, as well as heritability for tick-count and 2) to investigate potential response to selection against tick-count based on truncation selection given the estimated genetic parameters from the best fit model. Our results showed that zero-inflated Poisson was the most parsimonious model for the analysis of tick count data. The resulting estimates of variance components and high heritability (0.32) led us to conclude that genetic determinism is relevant on tick count. A reduction of the breeding values for tick-count by one sire-dam genetic standard deviation on the liability scale will reduce the number of tick counts below an average of 1. An appropriate breeding scheme could control tick-count and, as a consequence, probably reduce TBF in sheep.
000061001 540__ $$9info:eu-repo/semantics/openAccess$$aby$$uhttp://creativecommons.org/licenses/by/3.0/es/
000061001 590__ $$a2.766$$b2017
000061001 591__ $$aMULTIDISCIPLINARY SCIENCES$$b15 / 64 = 0.234$$c2017$$dQ1$$eT1
000061001 592__ $$a1.164$$b2017
000061001 593__ $$aAgricultural and Biological Sciences (miscellaneous)$$c2017$$dQ1
000061001 593__ $$aMedicine (miscellaneous)$$c2017$$dQ1
000061001 593__ $$aBiochemistry, Genetics and Molecular Biology (miscellaneous)$$c2017$$dQ1
000061001 655_4 $$ainfo:eu-repo/semantics/article$$vinfo:eu-repo/semantics/publishedVersion
000061001 700__ $$aGrøva, L.
000061001 700__ $$aOlesen, I.
000061001 700__ $$0(orcid)0000-0001-6256-5478$$aVarona, L.$$uUniversidad de Zaragoza
000061001 7102_ $$11001$$2420$$aUniversidad de Zaragoza$$bDpto. Anatom.,Embri.Genét.Ani.$$cÁrea Genética
000061001 773__ $$g12, 3 (2017), e0172711[16pp.]$$pPLoS One$$tPloS one$$x1932-6203
000061001 8564_ $$s2105644$$uhttps://zaguan.unizar.es/record/61001/files/texto_completo.pdf$$yVersión publicada
000061001 8564_ $$s101309$$uhttps://zaguan.unizar.es/record/61001/files/texto_completo.jpg?subformat=icon$$xicon$$yVersión publicada
000061001 909CO $$ooai:zaguan.unizar.es:61001$$particulos$$pdriver
000061001 951__ $$a2019-07-09-11:42:34
000061001 980__ $$aARTICLE