Article

Geostatistical modeling of the spatial variability and risk areas of southern root-knot nematodes in relation to soil properties.

Auburn University. 204 Extension Hall, Auburn University, Auburn, AL, 36849, USA.
Geoderma (impact factor: 2.32). 05/2010; 156(3-4):243-252. DOI:10.1016/j.geoderma.2010.02.024
Source: PubMed

ABSTRACT Identifying the spatial variability and risk areas for southern root-knot nematode [Meloidogyne incognita (Kofoid & White) Chitwood] (RKN) is key for site-specific management (SSM) of cotton (Gossypium hirsutum L.) fields. The objectives of this study were to: (i) determine the soil properties that influence RKN occurrence at different scales; and (ii) delineate risk areas of RKN by indicator kriging. The study site was a cotton field located in the southeastern coastal plain region of the USA. Nested semivariograms indicated that RKN samples, collected from a 50×50 m grid, exhibited a local and regional scale of variation describing small and large clusters of RKN population density. Factorial kriging decomposed RKN and soil properties variability into different spatial components. Scale dependent correlations between RKN data showed that the areas with high RKN population remained stable though the growing season. RKN data were strongly correlated with slope (SL) at local scale and with apparent soil electrical conductivity deep (EC(a-d)) at both local and regional scales, which illustrate the potential of these soil physical properties as surrogate data for RKN population. The correlation between RKN data and soil chemical properties was soil texture mediated. Indicator kriging (IK) maps developed using either RKN, the relation between RKN and soil electrical conductivity or a combination of both, depicted the probability for RKN population to exceed the threshold of 100 second stage juveniles/100 cm(3) of soil. Incorporating EC(a-d) as soft data improved predictions favoring the reduction of the number of RKN observations required to map areas at risk for high RKN population.

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Keywords

different scales
 
different spatial components
 
Factorial kriging decomposed RKN
 
Gossypium hirsutum L
 
Incorporating EC(a-d)
 
local scale
 
Nested semivariograms
 
regional scale
 
regional scales
 
RKN data
 
RKN population density
 
Scale dependent correlations
 
site-specific management
 
soft data
 
soil electrical conductivity
 
soil properties variability
 
southern root-knot nematode [Meloidogyne incognita
 
spatial variability
 
study site
 
surrogate data