<正>采用RAPD技术对松材线虫和拟松材线虫进行了检测研究，从140个随机引物中筛选出引物OPK099引物组合OPCI8+OPN18.引物OPK09对12个松材线虫株系扩增出一条约2400bp左右的特异fl-段，引物组合OPCI8+OPNl8对10个拟松材线虫株系扩增出一条970bp左右的特异片段。实验表明，引物OPK09与引物组合OPCJ8+OPNl8具有特异性强、灵敏度高的优点。用这两组引物可以快速、准确鉴定松材线虫和拟松材线虫。

This paper is based on the least-squares minimization algorithm and expound selectment of resisted dimission error factor. From resisting dimission error, this algorithm improves estimative precision of model. By using data of forest survey in Guangdong the paper introduces the method of the parametric identification of the model in detail. The result indicates that the algorithm has a great effect in resisting dimission error. In the course of collecting data,due to all kinds of causes, the data collected must have abnormity. If general leastsquares minimization algorithm was taken,the result of parametric identification have better resisting. In fitting model,general mothed is deleting abnormity using separated point graph, which need to do more work of data treatment. The new method of parametric identification with dimission error can overcome the difficulty and get the better estimation.