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在综合管理系统中,莎草数量可预测南方根结线虫幼虫数量。

Nutsedge Counts Predict Meloidogyne incognita Juvenile Counts in an Integrated Management System.

作者信息

Ou Zhining, Murray Leigh, Thomas Stephen H, Schroeder Jill, Libbin James

机构信息

Research Assistant, University Statistics Center, Professor, Department of Entomology, Plant Pathology and Weed Science, Professor, Department of Agricultural Economics and Agricultural Business, New Mexico State University, Las Cruces, NM 88003. Professor, Department of Statistics, Kansas State University, Manhattan, KS 66505, formerly Professor, University Statistics Center, NMSU.

出版信息

J Nematol. 2008 Jun;40(2):99-108.

Abstract

The southern root-knot nematode (Meloidogyne incognita), yellow nutsedge (Cyperus esculentus) and purple nutsedge (Cyperus rotundus) are important pests in crops grown in the southern US. Management of the individual pests rather than the pest complex is often unsuccessful due to mutually beneficial pest interactions. In an integrated pest management scheme using alfalfa to suppress nutsedges and M. incognita, we evaluated quadratic polynomial regression models for prediction of the number of M. incognita J2 in soil samples as a function of yellow and purple nutsedge plant counts, squares of nutsedge counts and the cross-product between nutsedge counts . In May 2005, purple nutsedge plant count was a significant predictor of M. incognita count. In July and September 2005, counts of both nutsedges and the cross-product were significant predictors. In 2006, the second year of the alfalfa rotation, counts of all three species were reduced. As a likely consequence, the predictive relationship between nutsedges and M. incognita was not significant for May and July. In September 2006, purple nutsedge was a significant predictor of M. incognita. These results lead us to conclude that nutsedge plant counts in a field infested with the M. incognita-nutsedge pest complex can be used as a visual predictor of M. incognita J2 populations, unless the numbers of nutsedge plants and M. incognita are all very low.

摘要

南方根结线虫(南方根结线虫)、黄香附子(香附子)和紫香附子(圆叶香附子)是美国南部种植作物中的重要害虫。由于害虫之间存在互利关系,单独防治害虫而非防治害虫复合体往往不成功。在一项利用苜蓿抑制香附子和南方根结线虫的综合害虫管理方案中,我们评估了二次多项式回归模型,以预测土壤样本中南方根结线虫J2的数量,该数量是黄香附子和紫香附子植株数量、香附子数量的平方以及香附子数量之间交叉乘积的函数。2005年5月,紫香附子植株数量是南方根结线虫数量的显著预测因子。在2005年7月和9月,两种香附子的数量以及交叉乘积都是显著的预测因子。在2006年,即苜蓿轮作的第二年,这三种物种的数量都减少了。可能因此,在5月和7月,香附子和南方根结线虫之间的预测关系不显著。在2006年9月,紫香附子是南方根结线虫的显著预测因子。这些结果使我们得出结论,在受南方根结线虫 - 香附子害虫复合体侵染的田地中,香附子植株数量可作为南方根结线虫J2种群的直观预测指标,除非香附子植株数量和南方根结线虫数量都非常少。

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