Relationship between Fertility Traits and Kinematics in Clusters of Boar Ejaculates

 

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Detalles Bibliográficos
Autores: Barquero, Vinicio, Roldan, Eduardo R. S., Soler, Carles, Sevilla, Francisco, Camacho, Marlen, Valverde, Anthony, Vargas Leitón, Bernardo
Formato: artículo
Fecha de Publicación:2021
Descripción:The aim was to determine the relationship between kinematic parameters of boar sper- matozoa and fertility rates of sow, as well as to assess the effect of sperm clusters on the fertility capacity of the ejaculate. Semen samples were collected from 11 sexually mature boars. Samples were analyzed by an ISAS®v1 CASA-Mot system for eight kinematic parameters. Ejaculate clusters were characterized using multivariate procedures, such as principal factors (PFs) analysis and clustering methods (the k-means model). Four different ejaculate clusters were identified from two kinematic PFs which involved linear trajectory and velocity. There were differences (p < 0.05) between the sperm kinematic variables by sire line. There was no statistical difference (p > 0.05) between dam lines and ejaculate clusters in fertility variables. The discriminant ability of the different kinematics of sperm variables to predict litter size fertility was analyzed using receiver operating characteristics (ROC) curve analysis. Curvilinear velocity (VCL), average path velocity (VAP), amplitude of lateral head displacement (ALH), and beat-cross frequency (BCF) showed significant, albeit limited, predictive capacity for litter size fertility variables (range: 0.55–0.58 area under curve, AUC). The kinematic analysis of the ejaculates in clusters did not have a predictive capacity for litter size variables.
País:Repositorio UNA
Institución:Universidad Nacional de Costa Rica
Repositorio:Repositorio UNA
Lenguaje:Inglés
OAI Identifier:oai:null:11056/28032
Acceso en línea:http://hdl.handle.net/11056/28032
https://doi.org/10.3390/biology10070595
Palabra clave:ANIMALES
INSEMINACIÓN ARTIFICIAL
ARTIFICIAL INSEMINATION
CERDO
SWINE
ESPERMATOZOIDES
SPERM