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1,906 result(s) for "Turf management"
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Turfgrass Characteristics of Prairie Junegrass Germplasm Accessions
Prairie junegrass [Koeleria macrantha (Ledeb.) Shultes] is a perennial, short-grass prairie species distributed throughout the Northern Hemisphere. This species demonstrates tolerance to many environmental stresses in Minnesota. Forty-eight K. macrantha accessions from the United States National Plant Germplasm System (NPGS) were grown under low-input conditions to evaluate turfgrass quality characteristics for use in a breeding program. A second objective was to identify key geographical locations for germplasm collection. The experiment was conducted at Becker and St. Paul, MN. Nineteen accessions at Becker and 30 accessions at St. Paul performed with an adequate turf quality rating of 5.0 or higher when averaged over the 3-yr study, suggesting the potential for use in low-input areas. Prairie junegrass from northern collection regions displayed the highest spring green-up ratings, an important turf trait in northern climates. There was a negative correlation between this trait and mowing quality at Becker (r = −0.44) and at St. Paul (r = −0.34). Several accessions had acceptable mowing quality and would be candidates for integration into a native prairie junegrass turfgrass breeding program. There was no correlation between inflorescence emergence and turf quality, or between inflorescence emergence and persistent straw suggesting that flowering does not necessarily affect turf quality ratings. Rust (unknown Puccinia species) was present at both locations.
Sports fields : design, construction, and maintenance
THE UPDATED, AUTHORITATIVE GUIDE TO SPORTS FIELD MANAGEMENT THAT INCLUDES THE LATEST DEVELOPMENTS IN, AND ON, THE FIELD The updated Third Edition of Sports Fields: Design, Construction, and Maintenance is a comprehensive reference for professionals who are responsible for the design, construction, renovation, and maintenance of athletic facilities. This book contains illustrative examples of specific design elements of the most popular sports facilities. This Third Edition contains new chapters on safety, public relations, and professionalism for future sports field managers, as well as fresh drawings and photos that highlight innovative field layout, grading, irrigation, and drainage. All-new case studies review best practices and techniques for sports fields ranging from youth and high school fields to fields that are designed for professional athletes. This text is also an ideal resource for anyone studying for Sports Field Manager Certification (offered by STMA). * Features new case studies that include design and management best practices for all levels and types of sports facilities * Offers new chapters on safety, public relations, and professionalism for future sports field managers * Includes new illustrations and photos of innovative field layout, grading, irrigation, and drainage * Contains the most recent information on sand-based field systems and synthetic turf * Presents discussions of a range of fields including baseball, softball, football, soccer, lacrosse, field hockey, tennis, and track and field Sports Fields: Design, Construction, and Maintenance, Third Edition is a blueprint for field managers, designers, and builders for successful sports field projects.
Synthetic turf pitches with rubber granulate infill: are there health risks for people playing sports on such pitches?
The presence of carcinogenic substances in rubber granulate made from old car tyres raised concerns that the use of this granulate as infill on synthetic turf pitches may cause leukaemia and lymphoma in young football players and goalkeepers. Limitations in a number of prior studies on the topic casted doubts on their conclusion that it was safe to play sports on such pitches. Rubber granulate samples from 100 Dutch synthetic turf pitches were analysed for 45 (all samples) or 79 substances (a subset). A subset of samples was additionally analysed for migration of polycyclic aromatic hydrocarbons (PAHs), phthalates and metals into sweat and the gastrointestinal tract, and for evaporation of volatile substances into air. Exposure scenarios were developed to estimate the exposure of amateur football players via the oral, dermal and inhalation route to the most hazardous substances in rubber granulate. Risks to human health were assessed by comparing toxicological reference values for these substances with the exposure estimates. A number of carcinogenic, mutagenic and reprotoxic substances were present in rubber granulate used on Dutch pitches. No concern was, however, identified for phthalates, benzothiazoles, bisphenol A and the metals cadmium, cobalt and lead, as their exposures were below the levels associated with adverse effects on health. PAHs appeared to be the substances of highest concern, but even they present no appreciable health risk with exposures resulting in additional cancer risks at or below the negligible risk level of one in a million. Our findings for a representative number of Dutch pitches are consistent with those of prior and contemporary studies observing no elevated health risk from playing sports on synthetic turf pitches with recycled rubber granulate. Based on current evidence, there is no reason to advise people against playing sports on such pitches.
Assessing the homogenization of urban land management with an application to US residential lawn care
Changes in land use, land cover, and land management present some of the greatest potential global environmental challenges of the 21st century. Urbanization, one of the principal drivers of these transformations, is commonly thought to be generating land changes that are increasingly similar. An implication of this multiscale homogenization hypothesis is that the ecosystem structure and function and human behaviors associated with urbanization should be more similar in certain kinds of urbanized locations across biogeophysical gradients than across urbanization gradients in places with similar biogeophysical characteristics. This paper introduces an analytical framework for testing this hypothesis, and applies the framework to the case of residential lawn care. This set of land management behaviors are often assumed—not demonstrated—to exhibit homogeneity. Multivariate analyses are conducted on telephone survey responses from a geographically stratified random sample of homeowners (n = 9,480), equally distributed across six US metropolitan areas. Two behaviors are examined: lawn fertilizing and irrigating. Limited support for strong homogenization is found at two scales (i.e., multi- and single-city; 2 of 36 cases), but significant support is found for homogenization at only one scale (22 cases) or at neither scale (12 cases). These results suggest that US lawn care behaviors are more differentiated in practice than in theory. Thus, even if the biophysical outcomes of urbanization are homogenizing, managing the associated sustainability implications may require a multiscale, differentiated approach because the underlying social practices appear relatively varied. The analytical approach introduced here should also be productive for other facets of urban—ecological homogenization.
A One-Dimensional Light Detection and Ranging Array Scanner for Mapping Turfgrass Quality
The turfgrass industry supports golf courses, sports fields, and the landscaping and lawn care industries worldwide. Identifying the problem spots in turfgrass is crucial for targeted remediation for turfgrass treatment. There have been attempts to create vehicle- or drone-based scanners to predict turfgrass quality; however, these methods often have issues associated with high costs and/or a lack of accuracy due to using colour rather than grass height (R2 = 0.30 to 0.90). The new vehicle-mounted turfgrass scanner system developed in this study allows for faster data collection and a more accurate representation of turfgrass quality compared to currently available methods while being affordable and reliable. The Gryphon Turf Canopy Scanner (GTCS), a low-cost one-dimensional LiDAR array, was used to scan turfgrass and provide information about grass height, density, and homogeneity. Tests were carried out over three months in 2021, with ground-truthing taken during the same period. When utilizing non-linear regression, the system could predict the percent bare of a field (R2 = 0.47, root mean square error < 0.5 mm) with an increase in accuracy of 8% compared to the random forest metric. The potential environmental impact of this technology is vast, as a more targeted approach to remediation would reduce water, fertilizer, and herbicide usage.
Evaluation of different bermudagrass germplasm at physiological and molecular level under shade along longitudinal and latitudinal gradients
Responses of turfgrass to shade vary in individual species, and the degree and quality of low light; therefore, the selection of low light tolerant cultivars of turfgrass is important and beneficial for turf management rather than other practices. The stolons of thirteen bermudagrass genotypes were planted with two treatments and three replications of each treatment to establish for one month in the Yangzhou University Jiangsu China greenhouse. The established plants were transferred outside of the greenhouse, and 50% shading was applied to them with a black net. After 30 days of stress treatment, the morpho-physiological and biochemical analyses were performed. The expression of genes such as HEMA, HY5, PIF4 , and Cu/ZnSOD was assessed.  Cynodon dactylon is a C 4, and perennial that grows as lawn grass and is used as forage. Based on different indicator measurements, the most shade-tolerant germplasm was L01 and L06 along the longitudes and L09 and L10 along the latitudes. At the same time, L02 and L08 were more susceptible, respectively. However, germplasm showed greater tolerance in higher latitudes while longitudinal plants showed less stress response. The current study aimed (1) to screen out the most shade-tolerant Cynodon dactylon genotype among 13 along longitudinal and latitudinal gradients in China. (2) to examine morpho-physiological indicators of different bermudagrassgenotypes; (3) to evaluate if and how differences in various indicators of bermudagrass correlated with geographic region. This study will significantly advance the use of Cynodon germplasm in breeding, genomics, management, nomenclature, and phylogeographical study. It will decisively define whether natural selection and migration can drive evolutionary responses for populations to adapt to their new environments effectively.
Formulation, application timing, and postapplication irrigation timing affect dislodgeable azoxystrobin from turfgrass
Azoxystrobin is a broad‐spectrum strobilurin fungicide used widely in turfgrass systems, including lawns. Previous research has shown that various management practices influence pesticide dislodgement from turfgrass; however, limited research has been performed to determine their effect on azoxystrobin dislodge. A field experiment was conducted in Raleigh, NC, to quantify dislodgeable azoxystrobin (0.61 kg ai ha−1) foliar residue from tall fescue [Lolium arundinaceum (Schreb.) S.J. Darbyshire] across formulations (sprayable or granular), application timings (AM [0700 h Eastern Standard Time] or PM [1400 h Eastern Standard Time]), and postapplication irrigation timings (4 or 48 h after treatment [HAT]). Sample collection occurred 1, 2, 3, 4, 8, or 16 d after treatment (DAT). Evaluated management practices affected dislodgeable azoxystrobin, most notably from 1 to 4 DAT. Sprayable azoxystrobin applied in the PM resulted in greater azoxystrobin dislodged (1.0–8.0% of applied) compared with AM (0.3–5.5%), which were both greater than granular azoxystrobin applied in the AM or PM (<0.1–2.8%) from 1 to 4 DAT. Within sprayable azoxystrobin, five times greater azoxystrobin was dislodged by delaying postapplication irrigation until 48 HAT (1.2–11.8% of applied) compared with irrigation 4 HAT (0.2–1.2%) from 1 to 4 DAT. Information from this study improves our understanding of factors affecting pesticide dislodge and can be incorporated into turfgrass management strategies to minimize potential human pesticide exposure.
Knowledge Distillation and Student–Teacher Learning for Weed Detection in Turf
Machine vision–based herbicide applications relying on object detection or image classification deep convolutional neural networks (DCNNs) demand high memory and computational resources, resulting in lengthy inference times. To tackle these challenges, this study assessed the effectiveness of three teacher models, each trained on datasets of varying sizes, including D-20k (comprising 10,000 true-positive and true-negative images) and D-10k (comprising 5,000 true-positive and true-negative images). Additionally, knowledge distillation was performed on their corresponding student models across a range of temperature settings. After the process of student–teacher learning, the parameters of all student models were reduced. ResNet18 not only achieved higher accuracy (ACC ≥ 0.989) but also maintained higher frames per second (FPS ≥ 742.9) under its optimal temperature condition (T = 1). Overall, the results suggest that employing knowledge distillation in the machine vision models enabled accurate and reliable weed detection in turf while reducing the need for extensive computational resources, thereby facilitating real-time weed detection and contributing to the development of smart, machine vision–based sprayers.
Pollinator assemblages on dandelions and white clover in urban and suburban lawns
Flowering weeds, though often deemed undesirable in turfgrass lawns, provide food resources for declining pollinator populations in urbanized landscapes. We sampled bees and other pollinators directly from flowering common dandelion (Taraxacum officinale) and white clover (Trifolium repens) in lawns of similar character in central Kentucky USA to identify species likely to be exposed if such weeds are inadvertently oversprayed during application of lawn insecticides. We also tested the hypothesis that pollinator assemblages visiting spring-blooming white clover in urban and suburban lawns are as species-rich and diverse as in more rural lawn settings. We collected about 50 different species of insect pollinators, including 37 species of bees, from the aforementioned lawn weeds. Two of the six species of bumble bees (Bombus spp.) collected are considered uncommon and possibly in decline. Hover flies (Syrphidae), honey bees (Apis mellifera), and non-Apid wild bees predominated on dandelions whereas proportionately fewer hover flies and more A. mellifera and Bombus spp. visited white clover, especially in summer. Species richness of bees visiting white clover was similar in urban, suburban or periurban-rural lawns, although A. mellifera were proportionately more abundant, and Bombus spp. were less abundant, with increasing percentage of hardscape in surrounding areas. Fostering public awareness of the diversity of bees and other pollinators that visit flowering lawn weeds might help nurture a sociocultural shift toward more pollinator-friendly lawn care practices.