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Spatial Variability of Root Knot Nematodes in Relation to Within Field Variability of Soil Properties

机译:根结线虫的空间变异与土壤特性田间变异性的关系

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Site-specific management (SSM) of cotton (Gossypium hirsutum L) fields under risk of southern root-knot nematode [M. incognita] (RKN) infection may offer producers better management of on-farm resources and optimization of profitability. However, it requires the study of RKN spatio-temporal variability and the identification of surrogate data spatially correlated with its occurrence. The objectives of this study were (i) determine the magnitude, extent, and changes through time on the spatial variability of RKN at the field scale, (ii) establish the relationship between RKN occurrence and the spatial variability of soil physical and chemical properties, and (Hi) delineate areas at risk for RKN based on surrogate data. The spatial relations between soil physical properties (soil electrical conductivity - EC_a, slope, and elevation) and soil chemical properties (P, K, Ca, Mg, and soil pH) on RKN population density were studied in two cotton fields planted in southern Georgia, USA, in 2006. The spatio-temporal variability of the RKN was studied through semivariograms. The spatial correlation between RKN and soil properties was studied through canonical correlation and cross-correlograms. Soil properties highly correlated with RKN population density were entered into an ordinary logistic regression model to create a map of probability risk for RKN population density over a specific threshold value. The aggregated pattern of the RKN facilitated the segregation of RKN risk areas based on low values ofEC_a.
机译:站点的具体管理棉花(SSM)(陆地棉L)下南部根结线虫的风险领域[M.根结线虫(RKN)感染可能提供生产者在农场的资源和盈利能力的优化进行更好的管理。但是,它需要RKN时空变异的研究,其发生的空间相关的替代数据的识别。本研究的目的为:(i)确定对RKN的外地尺度空间变化的大小,程度,并通过时间的变化,(ⅱ)建立RKN发生和土壤的物理的空间变异性和化学性质之间的关系,基于代理的数据可在RKN风险和(iii)描出的区域。土壤物理性质之间的空间关系(土壤电导率 - EC_a,坡度和海拔)对根结线虫人口密度和土壤化学性质(P,K,钙,镁,及土壤pH值)进行了研究两种棉田种植在格鲁吉亚南部,美国,在2006年RKn的时空变异是通过半方差分析。 RKN和土壤性质之间的空间相关性是通过典型相关和交叉相关图的研究。与RKN人口密度高度相关的土壤性质,进入一个普通的逻辑回归模型在一个特定的阈值,以创建一个映射为RKN人口密度概率风险。该RKn的聚合模式促进RKN风险区域的隔离基于低值ofEC_a。

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