In-Field and Soil-Related Factors that Affect the Presence and Prediction of Glyphosate-Resistant Horseweed (Conyza canadensis) Populations Collected from Indiana Soybean Fields

Weed Science ◽  
2009 ◽  
Vol 57 (3) ◽  
pp. 281-289 ◽  
Author(s):  
Vince M. Davis ◽  
Kevin D. Gibson ◽  
Valerie A. Mock ◽  
William G. Johnson
Keyword(s):  
Survey Data ◽  
Crop Residues ◽  
Field Survey ◽  
Glyphosate Resistance ◽  
The United States ◽  
Soil Survey ◽  
Classification And Regression Tree ◽  
Related Factors ◽  
Relative Significance ◽  
Late Season

Glyphosate-resistant (GR) crops have been rapidly adopted in the United States and the evolution of GR weeds throughout the world has also been on the rise. With experience, weed scientists and crop advisers develop “intuition” on the basis of field history and current in-field conditions for predicting whether escaped weed biotypes may be herbicide resistant. However, there are no previous reports on the association of in-field crop management factors with the prediction of herbicide resistance. By using in-field survey data, we tested the accuracy of predicting glyphosate resistance in late-season horseweed escapes. We hypothesized that glyphosate resistance in late-season horseweed populations found in soybean fields could be predicted using in-field knowledge of crop residues and the appearance and distribution of weeds in the field. Field survey data were collected to determine the distribution and frequency of GR horseweed populations in Indiana soybean fields during September and October of 2003, 2004, and 2005. After the in-field survey, soil properties for sampled field locations were also collected from the U.S. Department of Agriculture Natural Resources Conservation Service Web Soil Survey. GR horseweed predictions used in-field presence of crop residues and the appearance, abundance, and distribution of weeds in the field. The significance of independent data factors were determined by chi-square statistics. The interactions and relative significance of multiple factors were modeled using classification and regression tree analysis. Our results indicated that the most important factor for predicting GR populations was the identification of an altered plant phenotype after injury from POST glyphosate. This was followed by crop rotation, field distribution, and the presence of other escaped weed species in the field in a model with a classification rate of 0.68.

scholarly journals Analysis on Production Efficiency of Laying Hens in China—Based on the Survey Data of Five Provinces

2019 ◽  
Vol 11 (8) ◽  
pp. 280
Author(s):  
Wu Yuhuan ◽  
Qin Fu
Keyword(s):  
Survey Data ◽  
Technical Efficiency ◽  
Production Efficiency ◽  
Field Survey ◽  
Laying Hens ◽  
The United States ◽  
Liaoning Province ◽  
The European Union ◽  
Layer Chicken ◽  
Problem Description

Problem Description: China is one of the major countries in the world of laying hens. However, compared with the United States and the European Union, the production efficiency of laying hens in China still lags far behind. Objectives: To guide the farmers to improve the effiency of laying hens breeding, we use the survey data to analysis the effiency and give advice. Methodology: This paper uses field survey data from five provinces to measure the technical efficiency of laying hens through DEA model. Key Findings: The results show that the average technical efficiency of survey households is 95.411%. Through the analysis, we found that layer chicken production technology in Hebei province is the highest, Liaoning province layer chicken production efficiency is the lowest. Implications: In the overall layout of laying hens breeding, the laying hens industry development should vigorously promote the rationalization of regional layout, give full play to regional advantages, and promote the development of laying hens industry.

scholarly journals Neural Network Based Estimation of Service Life of Different Metal Culverts in Arkansas

2022 ◽  
Vol 2022 ◽  
pp. 1-10
Author(s):  
Zahid Hossain ◽  
MdAriful Hasan ◽  
Rouzbeh Ghabchi
Keyword(s):  
Neural Network ◽  
Survey Data ◽  
Water Environment ◽  
The United States ◽  
Soil Survey ◽  
United States Department ◽  
Geochemical Properties ◽  
Laboratory Test Results ◽  
Different Types ◽  
Metal Pipes

The Arkansas Department of Transportation (ARDOT) uses different types of metal culverts and cross-drains. Service lives of these culverts are largely influenced by the corrosion of the metals used in these culverts. Corrosion of metallic parts in any soil-water environment is governed by geochemical and electrochemical properties of the soils and waters. Many transportation agencies including ARDOT primarily focus on investigating the physical and mechanical properties of soils rather than their chemical aspects. The main objective of this study is to analyze the geotechnical and geochemical properties of soils in Arkansas to estimate the service lives of different metal pipes in different conditions. Soil resistivity values were predicted after analyzing the United States Department of Agriculture (USDA) soil survey data using neural network (NN) models. The developed NN models were trained and verified by using laboratory test results of soil samples collected from ARDOT, and survey data were obtained from the USDA. The service lives of metal culverts were then estimated based on the predicted soil properties and water quality parameters extracted from the data acquired from the Arkansas Department of Environmental Quality (ADEQ). Finally, Geographic Information System-based corrosion risk maps of three different types of metal pipes were developed based on their estimated service lives. The developed maps will help ARDOT engineers to assess the corrosion potential of the metal pipes before starting the new construction and repair projects and will allow using proper culvert materials to maximize their life spans.

scholarly journals COVID-19-Related Changes in Perceived Household Food Waste in the United States: A Cross-Sectional Descriptive Study

2021 ◽  
Vol 18 (3) ◽  
pp. 1104
Author(s):  
Kelly Cosgrove ◽  
Maricarmen Vizcaino ◽  
Christopher Wharton
Keyword(s):  
Logistic Regression ◽  
Food Waste ◽  
The United States ◽  
Food Groups ◽  
Related Factors ◽  
Cross Sectional ◽  
Household Level ◽  
Binomial Logistic Regression ◽  
Household Food ◽  
Fresh Vegetables

Food waste contributes to adverse environmental and economic outcomes, and substantial food waste occurs at the household level in the US. This study explored perceived household food waste changes during the COVID-19 pandemic and related factors. A total of 946 survey responses from primary household food purchasers were analyzed. Demographic, COVID-19-related household change, and household food waste data were collected in October 2020. Wilcoxon signed-rank was used to assess differences in perceived food waste. A hierarchical binomial logistic regression analysis was conducted to examine whether COVID-19-related lifestyle disruptions and food-related behavior changes increased the likelihood of household food waste. A binomial logistic regression was conducted to explore the contribution of different food groups to the likelihood of increased food waste. Perceived food waste, assessed as the estimated percent of food wasted, decreased significantly during the pandemic (z = −7.47, p < 0.001). Food stockpiling was identified as a predictor of increased overall food waste during the pandemic, and wasting fresh vegetables and frozen foods increased the odds of increased food waste. The results indicate the need to provide education and resources related to food stockpiling and the management of specific food groups during periods of disruption to reduce food waste.

scholarly journals The Epidemiology of Powdery Mildew on Concord Grapes

2001 ◽  
Vol 91 (10) ◽  
pp. 948-955 ◽  
Author(s):  
David M. Gadoury ◽  
Robert C. Seem ◽  
Andrea Ficke ◽  
Wayne F. Wilcox
Keyword(s):  
Powdery Mildew ◽  
Fruit Set ◽  
Disease Incidence ◽  
The United States ◽  
Seasonal Development ◽  
Peak Period ◽  
Late Season ◽  
Stage Of Development ◽  
Concord Grapes ◽  
Moderately Resistant

Vitis labruscana ‘Concord’ is a grape cultivar widely grown in the United States for processing into juice and other grape products. Concord grapes are sporadically but sometimes severely damaged by the grape powdery mildew pathogen, Uncinula necator. Although the foliage is often reported to be moderately resistant to powdery mildew, severe fruit infection occurs in some years. We observed the seasonal development of powdery mildew on leaves, rachises, and berries of unsprayed Concord grapevines. Inoculations of flower and fruit clusters revealed a brief period of berry susceptibility and a protracted period of rachis susceptibility. The rachis remained highly susceptible to infection, and the severity of rachis infection increased throughout the growing season until the rachis formed a periderm shortly before harvest. In contrast, berries were nearly immune to infection within 2 weeks after fruit set. Rachis and berry infections were detected before the disease was observed on foliage, and the incidence of rachis and berry infection often exceeded disease incidence observed on foliage until after fruit acquired substantial ontogenic resistance. Excellent control of fruit infection, and adequate control of leaf infection, was achieved by two fungicide applications targeted at the peak period of fruit susceptibility. Although Concord is thought to be moderately resistant to powdery mildew, the rachis is highly susceptible, and may be the avenue by which prebloom infections make their way onto the developing fruit. Late-season infection of the rachis neither spread to the fruit, nor did it cause fruit to drop prematurely, and may be of little economic consequence on fruit destined for processing. Although fruit of V. vinifera cultivars have been reported to remain susceptible to infection until berry sugar levels reach 8 to 15%, Concord fruit become nearly immune to infection nearly 6 weeks before this stage of development. Because powdery mildew does not become conspicuous on foliage until late summer, it is generally regarded as a late-season problem on Concord grapes, and previous management programs have reflected this belief. However, the greatest contribution to control of fruit infection is due to fungicides applied during the peak period of fruit susceptibility, from bloom until shortly after fruit set, long before the disease is observed on foliage.

Use of Soil Survey Data for Regional Soil Water Simulation Models

1985 ◽  
Vol 49 (5) ◽  
pp. 1238-1244 ◽  
Author(s):  
J. H. M. Wösten ◽  
J. Bouma ◽  
G. H. Stoffelsen
Keyword(s):  
Soil Water ◽  
Survey Data ◽  
Simulation Models ◽  
Soil Survey ◽  
Water Simulation

scholarly journals Depressive Symptoms in Older African Immigrants: A Descriptive Study

2020 ◽  
Vol 4 (Supplement_1) ◽  
pp. 335-335
Author(s):  
Manka Nkimbeng ◽  
Zachary Baker ◽  
Janiece Taylor ◽  
Sarah Szanton ◽  
Tetyana Shippee ◽  
...  
Keyword(s):  
Depressive Symptoms ◽  
Insurance Coverage ◽  
Severe Depression ◽  
Secondary Data ◽  
African Immigrants ◽  
Health Insurance Coverage ◽  
The United States ◽  
Health Study ◽  
Related Factors ◽  
Significant Difference

Abstract In FY 2018-2019, the National Institutes of Health devoted $2,387,505,711 to projects studying depression. Before and following their arrival into the United States stressful life circumstances may render African immigrants particularly at risk for depression. The objective of this study is to provide an estimate and identify correlates of depressive symptoms in older (≥50 years) African immigrants. We performed secondary data analyses of the Older African Immigrant Health study (n = 148). Bivariate analyses evaluated associations between depressive symptoms and sociodemographic and immigration-related factors. Depressive symptoms were measured with the PHQ-8 scale and scores of ≥ 5 were considered indicative of depressive symptoms. The mean age of participants was 62 years (SD:8.2), 61% were female, 30% had less than high school education, and 58% reported having health insurance coverage. Thirty percent of the sample had depressive symptoms (PHQ-8 score of ≥ 5) but only one individual would be classified as having moderately severe or severe depression (PHQ-8 ≥15). Depressive symptoms did not differ by age, marital status, education, or income. There was a statistically significant difference in depressive symptoms by reason for migration, recruitment location, and employment status. Although only one participant would be classified as severely depressive, a large proportion of this sample had depressive symptoms. Mental health concerns were reported as a significant health problem for African immigrants visiting a community service organization in New York. More research is needed to examine the prevalence, immigration-related correlates, predictors, and health ramifications of depression in older African immigrants.

scholarly journals Union Effects on Health Insurance Provision and Coverage in the United States

ILR Review ◽  
2002 ◽  
Vol 55 (4) ◽  
pp. 610-627 ◽  
Author(s):  
Thomas C. Buchmueller ◽  
John Dinardo ◽  
Robert G. Valletta
Keyword(s):  
United States ◽  
Health Insurance ◽  
Survey Data ◽  
Insurance Coverage ◽  
Health Benefits ◽  
Union Density ◽  
Health Insurance Coverage ◽  
The United States ◽  
Health Coverage ◽  
Private Sector Union

During the past two decades, union density has declined in the United States and employer provision of health benefits has changed substantially in extent and form. Using individual survey data spanning the years 1983–97 combined with employer survey data for 1993, the authors update and extend previous analyses of private-sector union effects on employer-provided health benefits. They find that the union effect on health insurance coverage rates has fallen somewhat but remains large, due to an increase over time in the union effect on employee “take-up” of offered insurance, and that declining unionization explains 20–35% of the decline in employee health coverage. The increasing union take-up effect is linked to union effects on employees' direct costs for health insurance and the availability of retiree coverage.

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