000118741 001__ 118741 000118741 005__ 20240319081024.0 000118741 0247_ $$2doi$$a10.1186/s40813-022-00271-0 000118741 0248_ $$2sideral$$a129455 000118741 037__ $$aART-2022-129455 000118741 041__ $$aeng 000118741 100__ $$aVela, A.$$uUniversidad de Zaragoza 000118741 245__ $$aDetermination of puberty in gilts: contrast of diagnostic methods 000118741 260__ $$c2022 000118741 5060_ $$aAccess copy available to the general public$$fUnrestricted 000118741 5203_ $$aBackground Early onset of a gilt´s puberty is needed for adequate economic performance in farms, because it indicates her reproductive performance and longevity. Therefore, an effective diagnosis is needed. Our purpose was to compare different procedures (external characteristics, blood progesterone analysis and ultrasonography diagnosis) to detect puberty in 70 gilts (Topigs TN70; 240 days old) on farm conditions. Postmortem examination was the standard reference. Multiple logistic regression analysis was used to identify which combination of independent variables (predictors) best predicts the status of gilts. Results Puberty (46/70 gilts; 65.71%) was characterized by the presence of follicles larger than 6 mm, corpus albicans, corpus rubrum, and corpus luteum (postmortem examination). Vaginal length, body condition, backfat, carcass weight and progesterone blood concentration were significantly higher in pubertal than prepubertal gilts (P < 0.05). Two types of ultrasonography equipment (DELTA and W3) were compared and performed by the same senior technician (V1). The results obtained by two technicians with different levels of experience (V1 and V2, a junior technician) using W3 were also compared. Ultrasonography provided better results than other diagnostic techniques, although the effectiveness of the ultrasonography changed with technological improvements and with increased expertise of technicians. The most accurate results were found by V1/DELTA (Nagelkerke´s R2 = 0.846; Sensitivity = 0.956; Specificity = 0.958; Positive predictive value = 0.978; Negative predictive value = 0.920; Area under ROC curve = 0.957). Results using the W3 equipment could be improved when used in conjunction with vaginal length (V1; Nagelkerke´s R2 = 0.834; Sensitivity = 0.933; Specificity = 0.958; Positive predictive value = 0.977; Negative predictive value = 0.885; Area under ROC curve = 0.972) or progesterone concentration (V2; Nagelkerke´s R2 = 0.780; Sensitivity = 0.955; Specificity = 0.826; Positive predictive value = 0.915; Negative predictive value = 0.905; Area under ROC curve = 0.970). Conclusions Ultrasonography provided better results than other diagnostic techniques. The effectiveness of the ultrasonography changes with technological improvements and with increased expertise of technicians. Results using the W3 equipment could be improved when used along with vaginal length (V1) or progesterone concentration (V2). Accuracy parameters are a guide to choose puberty diagnosis, but the farms must also evaluate effect on gilts, ease and cost of administration. 000118741 540__ $$9info:eu-repo/semantics/openAccess$$aby$$uhttp://creativecommons.org/licenses/by/3.0/es/ 000118741 590__ $$a3.4$$b2022 000118741 592__ $$a0.763$$b2022 000118741 591__ $$aVETERINARY SCIENCES$$b10 / 144 = 0.069$$c2022$$dQ1$$eT1 000118741 593__ $$aAnimal Science and Zoology$$c2022$$dQ1 000118741 593__ $$aSmall Animals$$c2022$$dQ1 000118741 593__ $$aFood Animals$$c2022$$dQ1 000118741 594__ $$a5.2$$b2022 000118741 655_4 $$ainfo:eu-repo/semantics/article$$vinfo:eu-repo/semantics/publishedVersion 000118741 700__ $$aSuárez Usbeck, A. 000118741 700__ $$aLafoz, L. 000118741 700__ $$0(orcid)0000-0001-9907-2941$$aMitjana, O.$$uUniversidad de Zaragoza 000118741 700__ $$0(orcid)0000-0001-5026-5144$$aTejedor, M. T.$$uUniversidad de Zaragoza 000118741 700__ $$aMartín, S. 000118741 700__ $$aLópez, M. 000118741 700__ $$0(orcid)0000-0001-6964-7011$$aFalceto, M.V.$$uUniversidad de Zaragoza 000118741 7102_ $$11001$$2420$$aUniversidad de Zaragoza$$bDpto. Anatom.,Embri.Genét.Ani.$$cÁrea Genética 000118741 7102_ $$12008$$2700$$aUniversidad de Zaragoza$$bDpto. Produc.Animal Cienc.Ali.$$cÁrea Producción Animal 000118741 7102_ $$11009$$2617$$aUniversidad de Zaragoza$$bDpto. Patología Animal$$cÁrea Medicina y Cirugía Animal 000118741 773__ $$g8 (2022), 28 [14 pp.]$$tPorcine Health Management$$x2055-5660 000118741 8564_ $$s1997611$$uhttps://zaguan.unizar.es/record/118741/files/texto_completo.pdf$$yVersión publicada 000118741 8564_ $$s2603414$$uhttps://zaguan.unizar.es/record/118741/files/texto_completo.jpg?subformat=icon$$xicon$$yVersión publicada 000118741 909CO $$ooai:zaguan.unizar.es:118741$$particulos$$pdriver 000118741 951__ $$a2024-03-18-16:33:26 000118741 980__ $$aARTICLE