Evaluating Traffic Stress by the Brinkman Traffic Simulator and Cady Traffic Simulator on a Kentucky Bluegrass Stand

Vanini, J. T.; Henderson, Jason J.; Sorochan, John C.; Rogers, John N.

doi:10.2135/cropsci2006.07.0500

Cited by 23 publications

(29 citation statements)

References 10 publications

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“…Houlbrooke et al [45] showed that ryegrass root growth was not significantly reduced as BD increased from 0.9 to 1.2 Mg/m 3 . It is noted that the compaction effort was applied only once, and compounded effects can be anticipated for continuous traffic, which would lead to increased BD and decreased turf growth and performance [12,46]. There was a significant (p < 0.001) interaction between soil type and sand layering on root zone BD (Table 6).…”

Section: Bulk Densitymentioning

confidence: 99%

Comparative Evaluation of Common Savannah Grass on a Range of Soils Subjected to Different Stresses II: Root Zone Physical Condition

2014

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Abstract:The root zone physical condition influences root development and function, which affects turfgrass growth, quality and performance. The temporal variability of root zone properties was investigated in a factorial experiment combining sand layering compaction and moisture stress on the performance of Savannahgrass (SG) (Axonopus compressus), Bermudagrass (BG) (Cynodon dactylon (L.) Pers.) (cv. Tifway 419) and Zoysiagrass (ZG) (Zoysia spp.) grown in four contrasting soils. Four stresses-drought (D), waterlogging (WL), high compaction (HC) and low compaction (LC)-were applied either with or without a surface sand layer. Root zone properties, including root weight (RW), bulk density (BD), surface hardness (SH), redox potential (E h ) and non-capillary pore space (NCPS), were monitored over a four-month growth period. Surface hardness values were greater for the high compaction effort in treatments without sand, but were highest under drought. Sand addition resulted in lower SH for all grass × soil combinations. The soil texture influenced root zone BD for all turfgrasses, with the clay soils recording significantly lower bulk densities (<1.00 g/cm 3 ) than those with coarser fractions. Compaction had a minimal influence on BD, the effect being further modified by grass type. Low BD was associated with high RW. RW was also significantly higher in the sand-amended treatments. Waterlogging reduced E h for all soils, with higher values recorded in the sand treatments. The redox potential was lowest in River Estate soil and in pots planted with ZG. Across turfgrasses, Princes Town and Talparo soils had significantly lower NCPS for the sand treatment. NCPS was highest for ZG across stress treatments, but values OPEN ACCESSAgronomy 2014, 4 125 were similar to SG under compaction treatments. Sand layering improved the root zone aeration status, particularly with SG, resulting in a better physical condition.

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Section: Bulk Densitymentioning

confidence: 99%

Comparative Evaluation of Common Savannah Grass on a Range of Soils Subjected to Different Stresses II: Root Zone Physical Condition

2014

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“…Topdressing applications were applied using a Mete-R-Matic self-propelled topdresser (Turfco, Minneapolis, MN) at a 0.6-cm depth (9.8 kg m j2 [dry weight]) per application, providing a cumulative sand layer depth of 2.4 cm across all treatments on August 15, 2007. At the conclusion of the cumulative sand topdressing applications, traffic was applied to all treatments from October 10 to November 3, 2007, using the Cady traffic simulator, a modified core cultivation unit (Aero King 30; Jacobsen, Charlotte, NC) (Henderson et al, 2005b;Vanini et al, 2007). Two passes forward and two passes backward (four passes) were applied per week for a total of 16 passes in 2007.…”

Section: Topdressing and Traffic Simulation (2007)mentioning

confidence: 99%

“…Turfgrass Reestablishment, Topdressing, and Traffic (2008) On April 22, 2008, treatments were core cultivated and interseeded and fertilized, similar to the procedure used by Vanini et al (2007) and Rogers et al (1998) (specifics on these practices are within Kowalewski, 2010).…”

Section: Topdressing and Traffic Simulation (2007)mentioning

confidence: 99%

Improving Native Soil Athletic Fields With Intercept Drain Tile Installation and Subsequent Sand Topdressing Applications

Kowalewski¹,

Crum

Rogers

et al. 2011

Soil Science

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Intercept drain tile installation and subsequent sand topdressing applications can provide a built-up sand-based system. There are a number of different intercept drain tile spacing and sand layer depth recommendations. The objectives of this research were to determine the effects of intercept drain tile spacing on the surface runoff, soil water content, and surface shear strength of a compacted sandy loam with sand topdressing. A single factor, RCBD field study in East Lansing, Michigan, was seeded May 29, 2007, with a Kentucky bluegrass (Poa pratensis L.)Y perennial ryegrass (Lolium perenne L.) mixture. Intercept drain tiles were spaced 2.0, 3.0, 4.0, and 6.0 m apart and were compared with an 8.1-m-long control without intercept drain tiles. Well-graded sand (90.0% sand, 7.0% silt, and 3.0% clay) was used for topdressing. After the accumulation of a 2.4-cm sand layer, simulated traffic at two applications per week was applied to all treatments using the Cady traffic simulator from October 10 to November 3, 2007. In 2008, topdressing, providing a 4.8-cm depth accumulated during a 2-year period, and traffic were repeated on the same experimental treatments. When a 2.4-cm sand layer is present, surface runoff and soil water content are generally directly related to intercept drain tile spacing, and drain tiles, spaced 2.0, 3.0, and 4.0 m apart, will provide increased surface shear strength. As topdressing depths were accumulated to a 4.8-cm sand layer depth in 2008, no differences in surface shear strength were observed regardless of drain tile spacing.

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“…This BTS traffic intensity corresponds to typical foot-traffic frequency at sports fields. Similar traffic treatments were used by other authors in their investigations into the wear resistance of sports turfgrasses (Kowalewski et al, 2013;Martiniello, 2007;Vanini et al, 2007).…”

Section: Traffic Simulationmentioning

confidence: 83%

“…The quantitative data are generally more accurate than the subjective data, but the time and costs associated with collecting this information limits its use. The most often used quantitative method is individual plant counts within the collected plug (Trenholm et al, 2000;Vanini et al, 2007). In recent years, digital image analysis has been more frequently and effectively used to measure turfgrass cover.…”

Section: Discussionmentioning

confidence: 99%

Anatomical and morphological factors affecting wear tolerance of turfgrass

Głąb

Szewczyk

Dubas

et al. 2015

Scientia Horticulturae

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Evaluating Traffic Stress by the Brinkman Traffic Simulator and Cady Traffic Simulator on a Kentucky Bluegrass Stand

Cited by 23 publications

References 10 publications

Comparative Evaluation of Common Savannah Grass on a Range of Soils Subjected to Different Stresses II: Root Zone Physical Condition

Comparative Evaluation of Common Savannah Grass on a Range of Soils Subjected to Different Stresses II: Root Zone Physical Condition

Improving Native Soil Athletic Fields With Intercept Drain Tile Installation and Subsequent Sand Topdressing Applications

Anatomical and morphological factors affecting wear tolerance of turfgrass

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