[目的]探讨影响母猪分娩率的关键因素,为调整猪场的猪群结构和准确掌握母猪的繁殖性能提供科学依据.[方法]采用非条件逻辑回归方法,跟踪调查了2010～2011年广西某规模猪场配种的1856胎的分娩状况,分别对母猪胎次、季节、发病史、公猪年龄和母猪品种5个因素进行单因素分析和逻辑回归模型分析.[结果]单因素分析结果表明,母猪胎次、季节和发病史极显著影响母猪分娩率(P＜0.01)；逻辑回归模型分析结果表明,5个因素中母猪胎次、季节和发病史3个因素对母猪分娩率的影响差异极显著(P＜0.01),母猪品种对母猪分娩率的影响差异显著(P＜0.05),且都是负向影响,其中以发病史的影响最大.[结论]母猪分娩率主要受母猪胎次、母猪品种、季节、发病史等4个因素的影响,且都是负向影响,其中以发病史的影响最大.因此,今后在母猪的生产管理上要重点控制母猪产道感染问题,并采取相应措施缓解因不同季节激应带来的负面影响,选择优良抗应激品种,调节好母猪群的胎次结构.%[Objective]Key factors concerning sow delivery rate were investigated in order to provide scientific references for swine population restructuring and reproductive functions in pig farms. [ Method ] Between 2010 and 2011, 1856 sows were followed up during parturition in a large-scale pig farm to investigate sow parity, season, disease history, boar age and sow variety, which were then analyzed by single-factor and multivariate logistic regression models. [Result]Ac-cording to the single-factor and multivariate logistic regression analysis, the sow parity, season and disease history significantly affected sow parturition rate (P<0.01), moreover, sow variety significantly and negatively influenced parturition rate(P<0.05). Disease history appeared to be the most negative factor. [Conclusion]Four elements, viz., sow parity, sow variety, season, and disease history were all negatively correlated to sow parturition rate with disease history being most affecting factor. Hence in future, for managing production of sow, several measures should be taken into account, which include controlling birth canal infection, selecting superior resistant varieties and adjusting sow parity structure.
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