https://hdl.handle.net/2238/11310 2026-05-12T01:00:33Z https://hdl.handle.net/2238/15707 Comparison of three different staining methods for the morphometric characterization of Alpaca (Vicugna pacos) sperm, using ISAS® CASA-Morph system Cucho, Hernán; López, Yolvi; Caldeira, Carina; Valverde-Abarca, Anthony; Ordóñez, César; Soler, Carles Sperm morphometry is a part of the semen analysis based on CASA technology and has shown a big role in the prediction of male fertility. This analysis implies the use of stain techniques, although it has been shown that staining can make dramatic changes in the cell morphometry in different species. The aim of the present work was to evaluate the differences in sperm morphometry in Alpaca, introduced by the use of different stain techniques. Single ejaculates from five adult alpacas were used. Samples were recovered by deferent duct deviation surgery technique. Three stain techniques (i.e. Hemacolor, Harri’s Henatoxylin and Diff-Quik) were evaluated. Morphometric analysis was done using ISAS® v1 CASA -Morph system, at 100x bright field objective magnification and a digital video camera with a final resolution of 0.08 µm/pixel. Almost 200 randomly selected cells were automatically analysed per sample and stain technique, considering several sperm-head and midpiece parameters regarding size and shape. Almost all of the parameters showed different levels of difference among the employedtechniques. In general, the largest cell heads were the ones stained with Harri’s Hematoxylin and the smallest ones were the ones stained with Diff-Quik. The discriminant parameters used to differentiate between animals better were the head width, area and acrosome percentage. In conclusion, like in other species, alpaca sperm morphometry results were found to be sensitive to the applied stain technique. This implies the necessity of referring clearly the stain technique used in each case to perform comparisons between different works on the same species. None of the employed techniques was superior to the others. In addition, the method used to obtain the samples showed its usefulness and simplicity for repeated samplings. Nova Biologica Reperta, vol. 6, no.3 (2019):284-291 2019-01-01T00:00:00Z https://hdl.handle.net/2238/15705 The application of computer-assisted semen analysis (CASA) technology to optimise semen evaluation. A review Valverde-Abarca, Anthony; Barquero, Vinicio; Soler, Carles Currently, artificial insemination (AI) is the most applied technique for assisted reproduction in the livestock industry. The traditional analysis of seminal quality includes the evaluation of concentration and motility (total and progressive), the parameters on which the number of doses producible from an ejaculate is calculated. The introduction of automated sperm evaluation systems based on computer-assisted semen analysis (CASA) represented a revolution in the production of seminal doses and the knowledge in reproductive biology; however, this technology has been generally implemented without a critical analysis of its limitations and dependence on several methodological factors. In addition to the use of CASA technology, the estimation of kinematics and morphometry have been incorporated as novel parameters for sensitivity and reproducibility. AI has facilitated the rapid and universal dissemination of genetic material from a relatively small number of males. The CASA systems allow the analysis of a large number of sperm cells in a short time, thereby providing an array of quantitative data on kinematics and head sperm morphometry, thus making it possible to optimise the reliability of seminal analyses Journal of Animal and Feed Sciences, vol. 29, no.3 (2020):189-198 2020-01-01T00:00:00Z https://hdl.handle.net/2238/15704 Relationship between fertility traits and kinematics in clusters of boar ejaculates Barquero, Vinicio; Roldan, Eduardo R. S.; Soler, Carles; Vargas-Leitón, Bernardo; Sevilla, Francisco; Camacho, Marlen; Valverde-Abarca, Anthony Swine reproduction efficiency is determined by the fertility potential of the sow and sperm quality. The objective of this study is to compare boar sperm motility and kinematic features to evaluate their relationships with reproductive success after artificial insemination (AI). In this study, the movement patterns of boar ejaculates were analyzed by a computer-assisted semen analysis (CASA)-Mot system, and the kinematic values of ejaculate clusters were assessed. The semen of the Pietrain boars showed more linear trajectory of the spermatozoa, while curvilinear velocity and oscillatory movement characterized the semen of the Duroc × Pietrain boars. The offspring of sows inseminated with Pietrain boars showed significantly lower number of stillbirths. In addition, ejaculate grouping into clusters did not have a predictive capacity on litter size variables. Nevertheless, the kinematic variables of the ejaculate may have a predictive, albeit reduced, capacity regarding litter size variables. The results of this study therefore open up possibilities for future assessments of fertility Biology, vol. 10, no.7 (Jun, 2021) 2021-01-01T00:00:00Z https://hdl.handle.net/2238/15703 Predictive capacity of boar sperm morphometry and morphometric sub-populations on reproductive success after artificial insemination Barquero, Vinicio; Roldan, Eduardo R. S.; Soler, Carles; Yániz, Jesús L.; Camacho, Marlen; Valverde-Abarca, Anthony The efficiency of swine production measured as litter size influences the prof itability of the pig industry. Furthermore, sow fertility potential depends in part on the boar semen quality and reproductive efficiency. The objective of this study is to compare boar sperm head size and morphometric features of shape to evaluate their relationships with reproductive success after artificial insemination (AI). A morphometric analysis of boar ejaculate reveals morphometrically separate sub-populations. The differences between sub-populations are displayed for sperm head size. In addition, sperm clustering into sub-populations did not have a predictive capacity on lit ter size variables. Nevertheless, the morphometric variables of the sperm may have a predictive, albeit reduced, capacity regarding litter size variables. The results of this study therefore open up possibilities for future assessments of fertility. Animals, volumen 11 (Mar, 2021):2-15 2021-01-01T00:00:00Z