The predictive value of porcine seminal parameters on fertility outcome under commercial conditions
The predictive value of porcine seminal parameters on fertility outcome under commercial conditions
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DOI：
10.1111/j.1439-0531.2004.00513.x
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发表时间：
2004-10-01
影响因子：
1.7
通讯作者：
Marco, MA
中科院分区：
文献类型：
--
作者：
Gadea, J;Sellés, E;Marco, MA
本研究的目的是要解决的问题，是否可以使用标准的精液参数在商业条件下预测不同的精液使用后的产仔率和窝仔数的差异。本研究共使用1818头母猪，评价不同精子参数对母猪生育力的预测价值。采用Logistic回归分析（单变量和多变量）将二分分娩率数据与精子参数相关联。线性回归也被用来确定窝仔数和精液参数之间的关系（皮尔逊相关和多元回归）。受试者工作曲线（ROC）用于确定逻辑回归模型中每个精液变量的总体性能特征。精液分析，在商业条件下，允许识别具有非常低的生育潜力的射精，但样本的预先选择，每剂量的精子数量高，人工授精（AI）计划中使用的精液质量高，减少了变异性。因此，不太可能检测到与精液参数相关的生育力差异。
The aim of this study was to address the question of whether differences in farrowing rate and litter size after the use of different ejaculates could be predicted using the standard semen parameters under commercial conditions. In this study, a total of 1818 sows were used to evaluate the fertility predictive value of different sperm parameters. Logistic regression analysis (univariate and multivariate) was used to correlate the dichotomous farrowing rate data to the sperm parameters. Linear regression was also used to determine the relationship between litter size and semen parameters (Pearson correlation and multiple regression). Receiver-operating curves (ROC) were used to determine the overall performance characteristics of each semen variable in the logistic regression model. Semen analysis, under commercial conditions, allows to identify ejaculates with very low fertility potential but the pre-selection of the samples, the high number of sperm per doses and the high quality of the semen used in artificial insemination (AI) programmes reduces the variability. Therefore, it is unlikely to detect fertility differences associated with seminal parameters.