Geostatistical Analysis of Field Spatial Distribution Patterns of Soybean Cyst Nematode

Avendaño, Felicitas; Schabenberger, Oliver; Pierce, Francis J.; Melakeberhan, Haddish

doi:10.2134/agronj2003.0936

Cited by 15 publications

(6 citation statements)

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“…Comparison of indicator direct and cross-semivariograms also indicated that the population increased from patch edges towards their centers. Avendaño et al (2003) found a poorly structured spatial variability for soybean cyst nematodes-SCN ( Heterodera Glycines ) in two Michigan fields (U.S.). For the same fields, Avendaño et al (2004) reported a positive correlation between SCN population density and percentage of sand.…”

Section: Introductionmentioning

confidence: 97%

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

Ortiz¹,

Perry²,

Goovaerts³

et al. 2010

Geoderma

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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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Section: Introductionmentioning

confidence: 97%

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

Ortiz¹,

Perry²,

Goovaerts³

et al. 2010

Geoderma

View full text Add to dashboard Cite

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“…A total of 15 soil samplings (3 years × 5 sampling dates per year) were performed from each plot. The composite soil samples were stored in a cold room at 5°C for 3 to 5 days before the nematodes were extracted from 100 cc of fresh soil using a semi-automatic elutriator ( Avendaño et al, 2003 ). Nematodes were fixed in double TAFF ( Hooper, 1986 ), identified and enumerated at genus level using an inverted microscope (Accu-scope Inc, Commack, NY, USA) at 400 × magnification following diagnostic keys by Bongers (1994) and the University of Nebraska Lincoln nematode identification website ( http:nematode.unl.edu/konzlistbutt.htm ).…”

Section: Methodsmentioning

confidence: 99%

Effects of integrated application of plant-based compost and urea on soil food web, soil properties, and yield and quality of a processing carrot cultivar

Habteweld

Brainard

Kravchencko

et al. 2020

Journal of Nematology

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Soil nutrient management system characterized by reduced input of inorganic fertilizers integrated with organic amendments is one of the alternatives for reducing deleterious environmental impact of synthetic fertilizers, suppressing soil-borne pests and diseases, and improving soil health and crop yield. A hypothesis of the present study was that lower rates of urea mixed with higher rates of plant compost (PC) would improve nematode community structure, soil food web condition, soil biological, and physiochemical properties, and yield and quality of a processing carrot (Daucus carota) cultivar. Urea and PC were each applied at 135 kg nitrogen (N)/ha alone or at 3:1, 1:1, and 1:3 ratios annually during the 2012 to 2014 growing seasons. A non-amended check served as a control. Nematode community was analyzed from soil samples collected approximately 4-week intervals from planting to 133 days after planting each year. Soil respiration, as a measure of soil biological activity, and soil physiochemical properties were determined from soils collected at planting and at harvest in 2012 and 2013. Results showed that PC alone, and U1:PC1 resulted in soil food web structure significantly above 50 at harvest in 2014. Urea significantly decreased end-ofseason soil pH, but increased NO 3-N compared with the other treatments. While the herbivore population density was low, abundances of Tylenchus and Malenchus were negatively correlated with carrot fresh weight of marketable carrot. Overall, results suggest that integrating lower rates of urea and higher rates of PC are likely to increase soil biological activity, soil pH, and phosphorus content.

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“…The spatial variability of SCN in field environments has been documented (Francl, 1986;Donald et al, 1999;Avendaño et al, 2003), and controlling this variability is challenging to researchers. To address this spatial variability, researchers could either increase soil sampling at each site or increase the number of environments sampled.…”

Section: Impact Of Soybean Cyst Nematode Resistance On Soybean Yieldmentioning

confidence: 99%

Impact of Soybean Cyst Nematode Resistance on Soybean Yield

2017

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Soybean cyst nematode (SCN) (Heterodera glycines Ichinohe) of soybean [Glycine max (L.) Merr.] causes extensive yield loss, and host resistance has been an effective strategy to minimize this loss. However, shifts in SCN population virulence compatibility have resulted from the extensive use of PI 88788 as a source of resistance in the northern United States. The Northern Regional Soybean Cyst Nematode Tests offer a vast amount of yield testing, combined with resistance screening of entries and the characterization of the SCN infection of test fields. The objectives of this study were to use regional test results (i) to quantify the impact of resistance as the initial field SCN egg counts increase, (ii) to explore effects of maturity group (MG) on resistance, and (iii) to gain insights into how the ability of SCN to infect germplasm with resistance from PI 88788 affects yield. Yield tests across 11 yr were combined into a single dataset with over 1247 test–environment combinations. Analysis of these data showed that the yield advantage of SCN resistant entries increased as initial egg counts increased, and a larger advantage was found in early MGs (00–II) than in later MGs (III–IV). A yield advantage was documented at environments with an initial egg count as low as 100 eggs 100 cm−3 soil. At the levels of SCN infection on PI 88788 found in infested locations, breeding lines with resistance from PI 88788 yielded more than susceptible entries. Analysis of this dataset offers a unique view of the impact SCN resistance provides to soybean.

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Geostatistical Analysis of Field Spatial Distribution Patterns of Soybean Cyst Nematode

Cited by 15 publications

References 0 publications

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

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

Effects of integrated application of plant-based compost and urea on soil food web, soil properties, and yield and quality of a processing carrot cultivar

Impact of Soybean Cyst Nematode Resistance on Soybean Yield

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