Relationship Between Climatic Factors and Distribution of Pratylenchus spp. in the Dryland Wheat-Production Areas of Eastern Washington.
Relationship Between Climatic Factors and Distribution of Pratylenchus spp. in the Dryland Wheat-Production Areas of Eastern Washington.
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DOI：
10.1094/pdis-11-12-1060-re
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发表时间：
2013-10
期刊：
影响因子：
4.5
通讯作者：
Shyam L. Kandel;R. Smiley;K. Garland‐Campbell;A. Elling;J. Abatzoglou;D. Huggins;R. Rupp;T. Paulitz
中科院分区：
文献类型：
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作者：
Shyam L. Kandel;R. Smiley;K. Garland‐Campbell;A. Elling;J. Abatzoglou;D. Huggins;R. Rupp;T. Paulitz
在2010年和2011年期间，通过采集土壤样品进行田间调查，以估计冬小麦、春小麦、春大麦和春豆类（扁豆、鹰嘴豆和豌豆）田土壤中的线虫密度。短体线虫属在60%的采样田中观察到。然而，在几乎所有的调查领域都发现了线虫，每年都有大量的作物生长。确定与短体线虫密度相关的气候变量。在土壤方面，利用1979年至2010年调查地点的气候数据进行了相关和回归分析。57个气候变量与短体线虫密度呈显著相关。所有降水变量与线虫丰度呈显著正相关。夏季最高气温与线虫密度呈负相关，冬季最低气温与线虫密度呈正相关。此外，两个年份的线虫密度与种植强度呈显著相关。为2010年和2011年线虫丰度水平分别开发了5个和7个多元回归模型。模型中选择的大多数气候变量与降水有关。根病线虫在华盛顿东部旱地地区的分布和相关的气候变量的知识可能有助于确定风险和应用管理措施，以尽量减少作物的损害。
Field surveys were conducted by collecting soil samples to estimate nematode densities in soil from winter wheat, spring wheat, spring barley, and spring legumes (lentil, chickpea, and pea) fields during 2010 and 2011. Pratylenchus spp. were observed in 60% of sampled fields. However, nematodes were detected in nearly all of the survey fields in high numbers where crops were grown every year. To identify climatic variables associated with density of Pratylenchus spp. in soil, correlation and regression analyses were performed using climate data of survey sites from 1979 to 2010. Fifty-seven climate variables were significantly correlated with densities of Pratylenchus spp. All precipitation variables were significantly positively correlated with nematode abundance. Summer maximum air temperature was negatively correlated and winter minimum air temperature was positively correlated with nematode densities. In addition, both years' nematode densities were significantly correlated with cropping intensity. Five multivariate regression models for 2010 and seven models for 2011 nematode abundance levels were developed. The majority of the climate variables selected in the models were related to precipitation. Knowledge of root-lesion nematode distribution in the dryland region of eastern Washington and associated climate variables may be helpful to determine risk and apply management practices to minimize crop damage.