Barquero Vinicio, Roldan Eduardo R S, Soler Carles, Yániz Jesús L, Camacho Marlen, Valverde Anthony
Animal Reproduction Laboratory, School of Agronomy, Costa Rica Institute of Technology, San Carlos Campus, Alajuela 223-21002, Costa Rica.
Department of Biodiversity and Evolutionary Biology, Museo Nacional de Ciencias Naturales (CSIC), 28006 Madrid, Spain.
Animals (Basel). 2021 Mar 24;11(4):920. doi: 10.3390/ani11040920.
The aim of the study was to compare the morphometric features of sperm head size and shape from the Pietrain line and the Duroc × Pietrain boar crossbred terminal lines, and to evaluate their relationship with reproductive success after artificial insemination of sows produced from crossbreeding the York, Landrace and Pietrain breeds. Semen samples were collected from 11 sexually mature boars. Only ejaculates with greater than 70% motility rate and <15% of abnormal sperm were used for artificial inseminations (AI) and included in the study. Samples were analyzed using an ISASv1 computer-assisted sperm analysis system for eight morphometric parameters of head shape and size (CASA-Morph). Sub-populations of morphometric ejaculates were characterized using multivariate procedures, such as principal component (PC) analysis and clustering methods (k-means model). Four different ejaculate sub-populations were identified from two PCs that involved the head shape and size of the spermatozoa. The discriminant ability of the different morphometric sperm variables to predict sow litter size was analyzed using a receiver operating characteristics (ROC) curve analysis. Sperm head length, ellipticity, elongation, and regularity showed significant predictive capacity on litter size (0.59, 0.59, 0.60, and 0.56 area under curve (AUC), respectively). The morphometric sperm sub-populations were not related to sow litter size.
本研究的目的是比较皮特兰品系以及杜洛克×皮特兰公猪杂交终端品系精子头部大小和形状的形态计量学特征，并评估它们与约克夏、长白和皮特兰品种杂交产生的母猪人工授精后繁殖成功率之间的关系。从11头性成熟公猪采集精液样本。仅将活力率大于70%且异常精子小于15%的射精用于人工授精（AI）并纳入研究。使用ISASv1计算机辅助精子分析系统分析样本，以获取头部形状和大小的八个形态计量学参数（CASA-Morph）。使用多变量程序，如主成分（PC）分析和聚类方法（k均值模型），对形态计量射精的亚群进行特征描述。从涉及精子头部形状和大小的两个主成分中识别出四个不同的射精亚群。使用受试者工作特征（ROC）曲线分析来分析不同形态计量精子变量预测母猪产仔数的判别能力。精子头部长度、椭圆率、伸长率和规则性对产仔数显示出显著的预测能力（曲线下面积（AUC）分别为0.59、0.59、0.60和0.56）。形态计量精子亚群与母猪产仔数无关。
