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Potential of combined biological control agents to cope with <Emphasis Type="Italic">Phytophthora parasitica,</Emphasis> a major pathogen of <Emphasis Type="Italic">Choisya ternata</Emphasis>
Authors:Youssef Manasfi  Marc-Antoine Cannesan  Wassila Riah  Mélanie Bressan  Karine Laval  Azeddine Driouich  Maïté Vicré  Isabelle Trinsoutrot-Gattin
Institution:1.USDA-ARS Crop Improvement and Protection Research Unit,Salinas,USA;2.Columbia Basin Agricultural Research Center,Oregon State University,Pendleton,USA;3.USDA-ARS Wheat Health, Genetics and Quality Research Unit,Washington State University,Pullman,USA;4.Department of Plant Pathology,Washington State University,Pullman,USA;5.USDA-ARS Northwest Sustainable Agroecosystems Research Unit,Washington State University,Pullman,USA
Abstract:The Cook Agronomy Farm of Washington State University is a long-term precision agriculture study site. Since 2000, the farm has been in various three-year no-till rotations with winter wheat, spring wheat, and various rotation crops such as barley, canola, peas, lentils, and chickpea. The spatial distribution of root lesion nematodes (Pratylenchus spp.) and their relationships with soil and terrain variables were studied by collecting soil samples at 127 and 124 geo-referenced points in two 12-ha fields during the spring of 2010 and 2011, respectively. Pratylenchus spp. were detected in more than 85% of the sampled locations in both fields. Nematode densities spatially mapped using ArcGIS software occurred in an aggregated pattern. Previous rotation crops had no effect on the spatial distribution. Classification and regression tree analysis (CART) using soil and terrain variables, and nematode density, explained 61 and 34% of the variability associated with nematode density in 2010 and 2011, respectively. Soil edaphic factors, such as organic matter, were stronger predictors of nematode populations than rotation effects.
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