title: Spatial distribution of reniform nematode in cotton as influenced by soil texture and crop rotations.
abstract: Reniform nematode (RN) is an important pest in cotton production. Knowledge of the distribution patterns of RN is essential for selecting sampling strategies and for site-specific management. A 3-year study was conducted in two fields in South Carolina with the purpose of characterizing the distribution of RN using a fine-scale sampling scheme in plots representing different soil textures (field 1), and using a large-scale arbitrary sampling scheme (field 2). Horizontal distribution data showed an aggregated pattern of RN densities at planting and after harvest in both fields each year, with patches ranging from 8 to 12 m. However, a significant neighborhood structure was only detected when suitable hosts (cotton and soybean) were planted. Correlations between RN densities and percent sand and silt were detected, showing nematode densities peaked when sand content was around 60% and declined when sand content increased above 60 to 65%. When fewer samples were taken in the field with more uniform sand content, percentage of sand was a less reliable predictor of RN densities. Vertical sampling showed the highest numbers of RN were found at 15 to 30 cm deep after cotton, but were deeper after a nonhost crop. Understanding distribution patterns of RN within a field may improve the effectiveness of management practices.
authors.affiliation: First and fifth authors: School of Agricultural, Forest, and Environmental Sciences, Clemson University, Clemson, SC 29634; second author: Department of Mathematical Sciences, Clemson University, Clemson, SC 29634; and third and fourth authors: Edisto Research and Education Center, Clemson University, Blackville, SC 29817.
authors.forename: Claudia M
authors.initials: CM
authors.lastname: Holguin
authors.affiliation: First and fifth authors: School of Agricultural, Forest, and Environmental Sciences, Clemson University, Clemson, SC 29634; second author: Department of Mathematical Sciences, Clemson University, Clemson, SC 29634; and third and fourth authors: Edisto Research and Education Center, Clemson University, Blackville, SC 29817.
authors.forename: Patrick
authors.initials: P
authors.lastname: Gerard
authors.affiliation: First and fifth authors: School of Agricultural, Forest, and Environmental Sciences, Clemson University, Clemson, SC 29634; second author: Department of Mathematical Sciences, Clemson University, Clemson, SC 29634; and third and fourth authors: Edisto Research and Education Center, Clemson University, Blackville, SC 29817.
authors.forename: John D
authors.initials: JD
authors.lastname: Mueller
authors.affiliation: First and fifth authors: School of Agricultural, Forest, and Environmental Sciences, Clemson University, Clemson, SC 29634; second author: Department of Mathematical Sciences, Clemson University, Clemson, SC 29634; and third and fourth authors: Edisto Research and Education Center, Clemson University, Blackville, SC 29817.
authors.forename: Ahmad
authors.initials: A
authors.lastname: Khalilian
authors.affiliation: First and fifth authors: School of Agricultural, Forest, and Environmental Sciences, Clemson University, Clemson, SC 29634; second author: Department of Mathematical Sciences, Clemson University, Clemson, SC 29634; and third and fourth authors: Edisto Research and Education Center, Clemson University, Blackville, SC 29817.
authors.forename: Paula
authors.initials: P
authors.lastname: Agudelo
mesh_terms: D000383:Agriculture / Q000379:methods; D000818:Animals; D003710:Demography; D003368:Gossypium / Q000469:parasitology*; D009348:Nematoda / Q000502:physiology*; D010935:Plant Diseases / Q000469:parasitology*; D012987:Soil / Q000737:chemistry
chemical_list: D012987:Soil