000089827 001__ 89827
000089827 005__ 20230622083313.0
000089827 0247_ $$2doi$$a10.3389/fvets.2020.00182
000089827 0248_ $$2sideral$$a118183
000089827 037__ $$aART-2020-118183
000089827 041__ $$aeng
000089827 100__ $$aEcheverría, I.
000089827 245__ $$aMulti-Platform Detection of Small Ruminant Lentivirus Antibodies and Provirus as Biomarkers of Production Losses
000089827 260__ $$c2020
000089827 5060_ $$aAccess copy available to the general public$$fUnrestricted
000089827 5203_ $$aSmall ruminant lentiviruses (SRLVs) are endemic in most areas of Europe, causing a chronic infection and a multisystemic disease affecting the udder, carpal joints, lungs, and central nervous system. Due to the lack of treatments and protective vaccination strategies, infection control is focused on the identification of infected animals through serological or molecular techniques. However, antigenic and genetic heterogeneity of SRLVs represent a clear drawback for diagnosis. Infected animals may present lower animal production parameters such as birth weight or milk production and quality, depending on productive systems considered and, likely, to the diagnostic method applied. In this study, four sheep flocks dedicated to dairy or meat production were evaluated using three different ELISA and two PCR strategies to classify animal population according to SRLV infection status. Productive parameters were recorded along one whole lactation or reproductive period and compared between positive and negative animals. SRLV was present in 19% of the total population, being unequally distributed in the different flocks. Less than half of the infected animals were detected by a single diagnostic method, highlighting the importance of combining different diagnostic techniques. Statistical analysis employing animal classification using all the diagnostic methods associated lambing size, lamb weight at birth, and daily weight gain with SRLV infection status in meat flocks. Milk production, somatic cell count, fat, and protein content in the milk were associated with SRLV infection in dairy flocks, to a greater extent in the flock showing higher seroprevalence. A multi-platform SRLV diagnostic strategy was useful for ensuring correct animal classification, thus validating downstream studies investigating production traits.
000089827 536__ $$9info:eu-repo/grantAgreement/ES/MICINN/RTI2018-096172-B-C31
000089827 540__ $$9info:eu-repo/semantics/openAccess$$aby$$uhttp://creativecommons.org/licenses/by/3.0/es/
000089827 590__ $$a3.412$$b2020
000089827 591__ $$aVETERINARY SCIENCES$$b9 / 146 = 0.062$$c2020$$dQ1$$eT1
000089827 592__ $$a0.877$$b2020
000089827 593__ $$aVeterinary (miscellaneous)$$c2020$$dQ1
000089827 655_4 $$ainfo:eu-repo/semantics/article$$vinfo:eu-repo/semantics/publishedVersion
000089827 700__ $$aDe Miguel, R.$$uUniversidad de Zaragoza
000089827 700__ $$aDe Pablo-Maiso, L.
000089827 700__ $$aGlaria, I.
000089827 700__ $$aBenito, A.A.
000089827 700__ $$0(orcid)0000-0002-1204-4356$$aDe Blas, I.$$uUniversidad de Zaragoza
000089827 700__ $$aDe Andrés, D.
000089827 700__ $$0(orcid)0000-0002-2053-9842$$aLuján, L.$$uUniversidad de Zaragoza
000089827 700__ $$aReina, R.
000089827 7102_ $$11009$$2773$$aUniversidad de Zaragoza$$bDpto. Patología Animal$$cÁrea Sanidad Animal
000089827 773__ $$g7, 1821 (2020), [10 pp]$$pFront. vet. sci.$$tFrontiers in Veterinary Science$$x2297-1769
000089827 8564_ $$s194153$$uhttps://zaguan.unizar.es/record/89827/files/texto_completo.pdf$$yVersión publicada
000089827 8564_ $$s30421$$uhttps://zaguan.unizar.es/record/89827/files/texto_completo.jpg?subformat=icon$$xicon$$yVersión publicada
000089827 909CO $$ooai:zaguan.unizar.es:89827$$particulos$$pdriver
000089827 951__ $$a2023-06-21-15:00:55
000089827 980__ $$aARTICLE