Applications of Unmanned Aerial Vehicle Based Imagery in Turfgrass Field Trials.

Recent advances in remote sensing technology, especially in the area of Unmanned Aerial Vehicles (UAV) and Unmanned Aerial Systems (UASs) provide opportunities for turfgrass breeders to collect more comprehensive data during early stages of selection as well as in advanced trials. The goal of this study was to assess the use of UAV-based aerial imagery on replicated turfgrass field trials. Both visual (RGB) images and multispectral images were acquired with a small UAV platform on field trials of bermudagrass (Cynodon spp.) and zoysiagrass (Zoysia spp.) with plot sizes of 1.8 by 1.8 m and 0.9 by 0.9 m, respectively. Color indices and vegetation indices were calculated from the data extracted from UAV-based RGB images and multispectral images, respectively. Ground truth measurements including visual turfgrass quality, percent green cover, and normalized difference vegetation index (NDVI) were taken immediately following each UAV flight. Results from the study showed that ground-based NDVI can be predicted using UAV-based NDVI (R 2 = 0.90, RMSE = 0.03). Ground percent green cover can be predicted using both UAV-based NDVI (R 2 = 0.86, RMSE = 8.29) and visible atmospherically resistant index (VARI, R 2 = 0.87, RMSE = 7.77), warranting the use of the more affordable RGB camera to estimate ground percent green cover. Out of the top ten entries identified using ground measurements, 92% (12 out of 13 in bermudagrass) and 80% (9 out of 11 in zoysiagrass) overlapped with those using UAV-based imagery. These results suggest that UAV-based high-resolution imagery is a reliable and powerful tool for assessing turfgrass performance during variety trials.

Exploring attitudes regarding smokeless tobacco products for risk reduction.

Utilizing qualitative data analysis, this study focused on the attitudes, knowledge, and beliefs relating to smokeless tobacco (ST) as a reduced-risk cigarette substitute for smokers among focus groups from the general public and from the health profession. It revealed that there is a lack of awareness and understanding of ST products, which has a significant impact on overall perception of these products as acceptable substitutes. Regulatory actions regarding tobacco by the U.S. Food and Drug Administration should enhance consumers' access to accurate information about nicotine addiction and tobacco use.

Variable rate application of nematicides on cotton fields: a promising site-specific management strategy.

Field tests were conducted to determine if differences in response to nematicide application (i.e., root-knot nematode (RKN) populations, cotton yield, and profitability) occurred among RKN management zones (MZ). The MZ were delineated using fuzzy clustering of five terrain (TR) and edaphic (ED) field features related to soil texture: apparent soil electrical conductivity shallow (ECa-shallow) and deep (ECa-deep), elevation (EL), slope (SL), and changes in bare soil reflectance. Zones with lowest mean values of ECa- shallow, ECa- deep, NDVI, and SL were designated as at greater risk for high RKN levels. Nematicide-treated plots (4 rows wide and 30 m long) were established in a randomized complete block design within each zone, but the number of replications in each zone varied from four to six depending on the size of the zone.The nematicides aldicarb (Temik 15 G) and 1,3-dichloropropene (1,3-D,Telone II) were applied at two rates (0.51 and 1.0 kg a.i./ha for aldicarb, and 33.1 and 66.2 kg a.i./ha for 1,3-D) to RKN MZ in commercial fields between 2007 and 2009. A consolidated analysis over the entire season showed that regardless of the zone, there were not differences between aldicarb rates and 1,3-D rates. The result across zones showed that 1,3-D provided better RKN control than did aldicarb in zones with low ECa values (high RKN risk zones exhibiting more coarse-textured sandy soils). In contrast, in low risk zones with relatively higher ECa values (heavier textured soil), the effects of 1,3-D and aldicarb were equal and application of any of the treatments provided sufficient control. In low RKN risk zones, a farmer would often have lost money if a high rate of 1,3-D was applied. This study showed that the effect of nematicide type and rate on RKN control and cotton yield varied across management zones (MZ) with the most expensive treatment likely to provide economic benefit only in zones with coarser soil texture. This study demonstrates the value of site specific application of nematicides based on management zones, although this approach might not be economically beneficial in fields with little variability in soil texture.

Assessing systemic barriers to permanency achievement for children in out-of-home care: development of the child permanency barriers scale.

State and local child welfare agencies are engaged in multiple efforts to enact systems change to improve outcomes, particularly in regard to achievement of child permanency. The Child and Family Services Review process, conducted by the Administration Children and Families, requires states to implement program improvement plans designed to improve outcomes for which they are not meeting national standards. However, a tool has not been demonstrated as useful in assessing the barriers to achievement of permanency across the out-of-home service continuum, from recruitment of families to placement stability. This article reports on the development and refinement of such a tool in one Midwestern state. The Child Permanency Barriers Scale has four factors: kinship, placement and matching, adequate services and resources, and communication and collaboration. Implications for use in state-specific and multisystem assessment and system reform are discussed.

Thrips (Thysanoptera: Thripidae) mitigation in seedling cotton using strip tillage and winter cover crops.

BACKGROUND: Thrips are the most consistent insect pests of seedling cotton in the southeastern United States, where symptoms can range from leaf curling to stand loss. In a 2 year study, thrips adults and immatures were sampled at 14, 21 and 28 days after planting on cotton planted with a thiamethoxam seed treatment in concert with crimson clover, wheat or rye winter cover crops and conventional or strip tillage to investigate potential differences in thrips infestations. RESULTS: Densities of adult thrips, primarily Frankliniella fusca (Hinds), peaked on the first sampling date, whereas immature densities peaked on the second sampling date. Regardless of winter cover crop, plots that received strip tillage experienced significantly fewer thrips at each sampling interval. In addition, assessment of percentage ground cover 42 days after planting showed that there was more than twice as much ground cover in the strip-tilled plots compared with conventionally tilled plots. Correlation analyses showed that increased ground cover was inversely related to thrips densities that occurred on all three sampling dates in 2008 and the final sampling date in 2009. CONCLUSIONS: Growers who utilize strip tillage and a winter cover crop can utilize seed treatments for mitigation of early-season thrips infestation.

Improvements to lawn and garden equipment emissions estimates for Baltimore, Maryland.

Lawn and garden equipment are a significant source of emissions of volatile organic compounds (VOCs) and other pollutants in suburban and urban areas. Emission estimates for this source category are typically prepared using default equipment populations and activity data contained in emissions models such as the U.S. Environmental Protection Agency's (EPA) NONROAD model or the California Air Resources Board's (CARB) OFFROAD model. Although such default data may represent national or state averages, these data are unlikely to reflect regional or local differences in equipment usage patterns because of variations in climate, lot sizes, and other variables. To assess potential errors in lawn and garden equipment emission estimates produced by the NONROAD model and to demonstrate methods that can be used by local planning agencies to improve those emission estimates, this study used bottom-up data collection techniques in the Baltimore metropolitan area to develop local equipment population, activity, and temporal data for lawn and garden equipment in the area. Results of this study show that emission estimates of VOCs, particulate matter (PM), carbon monoxide (CO), carbon dioxide (CO2), and nitrogen oxides (NO(x)) for the Baltimore area that are based on local data collected through surveys of residential and commercial lawn and garden equipment users are 24-56% lower than estimates produced using NONROAD default data, largely because of a difference in equipment populations for high-usage commercial applications. Survey-derived emission estimates of PM and VOCs are 24 and 26% lower than NONROAD default estimates, respectively, whereas survey-derived emission estimates for CO, CO2, and NO(x) are more than 40% lower than NONROAD default estimates. In addition, study results show that the temporal allocation factors applied to residential lawn and garden equipment in the NONROAD model underestimated weekend activity levels by 30% compared with survey-derived temporal profiles.

The effects of training reinforcement on training transfer in child welfare.

The purpose of this research was to compare the impact of different training methods on training transfer. Child welfare workers were assigned to one of three groups: classroom training only, classroom training plus reinforcement, and no training. The effect of these different training approaches on the transfer of assessment and case planning skills from the training was examined through a review of 120 child welfare case records. Results indicated that providing both training and reinforcement yielded a higher level of transfer than training alone or no training.

Recruiting and retaining child welfare workers: is preparing social work students enough for sustained commitment to the field?

Graduates of specialized BSW child welfare education programs are more likely to be retained after two years of service in the agency, but many leave at the four year mark. Two studies explored possible reasons for departure at this time. The first study found that graduates of specialized child welfare programs were significantly more likely to engage in best practices in nine areas than workers from other fields. Thus, frustration with practice skill was ruled out as a cause. The second qualitative study found that poor supervision, lack of coworker support, and organizational stress among other variables prompted these high-functioning workers to leave the agency. Suggestions for innovative interventions to enhance retention at this critical juncture are included.

One state's effort to improve recruitment, retention, and practice through multifaceted clinical supervision interventions.

The professional literature has described the critical role child welfare supervisors play in the recruitment and retention (R&R) of a competent workforce and in practice enhancement to produce positive outcomes for children and families. Building on findings from a federally funded demonstration project related to implementation of clinical supervision in the child welfare setting, this article provides a description of a comprehensive approach to achievement of these outcomes: an integrated implementation of an employee selection protocol, 360-degree evaluation and employee development planning, and peer consultation and support groups for supervisors. An outline of the evaluation designed to assess relative effectiveness of each component on organizational culture, staff R&R, and practice is provided.